Frequently Asked Questions

Our quoted prices generally do not include destination-country customs duties, VAT, or other import taxes unless explicitly stated. These charges are determined by local customs authorities and are normally the responsibility of the recipient.

Yes, detailed specifications and datasheets are available. Please contact market@visiondatum.com if you need assistance selecting the right model for your application.

Vision Datum is a manufacturer with its own factory and production capabilities.

Yes. Industrial cameras can capture images for barcode or OCR applications, but decoding and inspection normally require compatible vision or OCR software. Please share the code type, target size, working distance, and required speed for camera selection.

Yes. Although a standard half-ring light may not be available for every configuration, customization may be possible. Please provide the required dimensions, LED color or wavelength, voltage, power, and other mechanical requirements.

Applicable UAV hyperspectral systems such as the iRx series can be configured for UAV integration, including compatible DJI platforms and gimbals where supported. Please confirm the drone model and interface before purchase.

No. Standard glass strongly blocks LWIR wavelengths, so an LWIR camera generally cannot see thermal radiation through ordinary glass. LWIR systems use specialized optical materials such as germanium for the lens.

Yes, if the sample, camera, or translation stage provides controlled relative motion.

Our industrial cameras are designed primarily for machine vision and imaging applications rather than general consumer webcam use. Please confirm your software and interface requirements if you need a camera for live streaming or webcam applications.

Shiny or low-emissivity surfaces can reflect surrounding infrared radiation and cause measurement errors. Correct emissivity, controlled geometry, and suitable references are important.

Ordinary glass generally blocks much of the LWIR radiation used by thermal cameras, so the camera normally measures the glass surface rather than the object behind it.

No. AI enhancement may improve some images, but it cannot reliably replace correct optics, exposure, and illumination. Stable physical imaging remains the foundation of repeatable inspection.

Yes. AI software can use images from standard industrial cameras when image quality, frame rate, interface, and processing resources meet the AI system requirements.

Yes, when the camera provides a compatible trigger input. Photoelectric sensors, encoders, PLCs, and motion controllers are common trigger sources.

Yes, when the battery system provides the correct voltage, stable current, regulation, and sufficient capacity for the camera and connected devices.

No. NIR cameras primarily detect reflected or emitted near-infrared light rather than long-wave thermal radiation used for conventional thermal measurement. For temperature measurement, consider a suitable MWIR or LWIR thermal camera.

Yes. SWIR imaging can reveal material differences that are difficult to distinguish in visible light and can be considered for plastic sorting. The appropriate wavelength, sensor, lighting, optics, and required accuracy depend on the plastic types and production speed.

Yes. Robot guidance requires suitable field of view, distortion, frame rate, triggering, and positioning accuracy. The camera and lens should be selected according to robot speed and target size.

Only specially qualified hardware should be used in vacuum environments because outgassing, heat transfer, connectors, and enclosure requirements must be evaluated.

Some GigE camera models support PoE, allowing power and data to be transmitted through a single network cable. If your network equipment does not provide PoE, an appropriate power supply or PoE injector may be required depending on the camera model.

Some Standard, SE, and Lite Guard high-speed camera configurations support offline recording using built-in memory or storage. CoaXPress configurations generally require a host PC for data capture. Please confirm the exact model before purchase.

Yes. Applications include sorting, composition analysis, moisture assessment, and defect detection when the relevant spectral differences are measurable.

Yes. Suitable NIR or SWIR bands can reveal spectral features related to moisture content, depending on material, calibration, and measurement conditions.

Yes. Materials can have characteristic spectral signatures that support classification or identification when the spectral range, resolution, illumination, and calibration are suitable.

Yes. Different polymers can show different spectral responses, especially in NIR and SWIR ranges, making hyperspectral imaging useful for classification and sorting.

Yes, if the system is designed with sufficient interface bandwidth, PC resources, network capacity, synchronization, storage, and software support.

Yes. You do not need to select the model yourself. Please provide your target, required detection accuracy, object speed, field of view, working distance, lighting conditions, and production environment. We can recommend suitable camera and lens options.

Yes. Products can often be purchased in smaller quantities for evaluation before larger deployment. Planned volume requirements should be discussed with sales.

Yes. With an exposure time as short as 1 μs, iCentral Pro and iCentral SE cameras can effectively freeze fast-moving targets and reduce motion blur.

For challenging factory environments, pixel binning modes can improve image brightness and signal performance, while AI image enhancement helps maintain clear and detailed images under low-light conditions.

Yes. With power consumption as low as 2–3 W, iCentral Series cameras generate less heat and image noise than many conventional industrial cameras.

They are designed for stable 24/7 operation in automated inspection systems and other demanding industrial imaging applications.

Many USB 3.0 and GigE cameras can connect directly to suitable laptops, but performance depends on the laptop's controller, drivers, power, and processing capability.

Yes. Supported camera SDKs can provide ROI configuration functions. Reducing the image area can increase frame rate on applicable cameras, depending on the sensor and camera architecture.

Yes. The appropriate setup depends on whether the liquid is static or flowing, the particle material, flow speed, and minimum particle size. A suitable solution may combine a camera, lens, lighting, and image-processing software.

Yes. Bulk or company orders may qualify for project-based or quantity pricing. Please provide the required models, quantities, and application details so we can prepare a suitable quotation.

Yes. Our official online catalog provides product information for cameras, lenses, lighting, SWIR, infrared cameras, telecentric lenses, and other machine vision products. Please contact our team if you need a specific catalog or product recommendation. Please check link: Product & Technical Resources | Vision Datum

Yes. Please provide the product model or link, required quantity, destination, and any application or customization requirements. Our sales team can then provide a quotation and confirm availability and lead time.

Yes. We can provide applicable lighting drawings and catalog information. If the required RGB or other configuration is customized, please provide your dimensions and technical requirements so we can confirm the design.

Often yes. Lighting, lens, focus, trigger timing, mechanics, exposure, processing, or calibration can improve image quality without replacing the camera.

Yes, machine vision can be used for dimensional measurement when the camera, lens, lighting, calibration, and image-processing method are properly configured. Please provide whether the object is stationary or moving, the measurement range, required accuracy, and working distance.

Orders can be modified or canceled before production begins. Once production starts, changes may no longer be possible. Please contact market@visiondatum.com as soon as possible if you need to modify or cancel an order.

PO payment depends on customer qualification and commercial terms. Contact sales with company information and order requirements to confirm availability.

Yes, we support both individual and bulk orders. For large quantity purchases, please contact market@visiondatum.com for pricing and customization options.

Self-repair is generally not recommended unless the manufacturer provides a user-serviceable procedure, because opening the camera can affect calibration, sealing, or warranty.

A replacement may be possible when sensor, resolution, interface, trigger, mechanical dimensions, lens, software, and environmental requirements are compatible. Provide the existing model for assessment.

Not necessarily. Even an identical replacement can have small differences. Precision measurement systems should verify calibration after camera replacement.

Yes. A Proforma Invoice can generally be provided for business purchasing and payment arrangements when the required order information is available.

Yes, where sample sales are available. A sample can help validate the camera, lens, lighting, interface, and application before volume deployment.

Customized products are generally non-refundable. However, exceptions may apply depending on the specific case. Please contact our support team to discuss your situation.

Many camera systems support saved parameter sets or user configurations, allowing different inspection recipes to be recalled efficiently.

Yes, when imaging requirements are similar. Standardization can simplify software, training, spare parts, maintenance, and validation.

Yes. High-speed cameras with frame rates such as 300 fps, 526 fps, 815 fps, or higher can be used for golf swing and ball tracking applications. Compatibility with third-party software should be confirmed before purchase, especially where specific USB 3.0 protocols are required. We provide High Speed Storage Master and free SDK for your analysis development

A standard visible-light lens may physically fit but may have poor transmission and increased chromatic aberration in the SWIR spectrum. A lens designed or coated for SWIR wavelengths is recommended for better transmission and image quality.

Consider particle generation, materials, cable routing, heat dissipation, mounting, cleaning procedures, and the required cleanroom class. Verify environmental suitability for the specific model.

Compatible cameras can be integrated with Jetson platforms when the interface, SDK, operating system, CPU architecture, and software dependencies are supported.

Yes, you can use your company’s PCCC for customs clearance.

When placing your order, please enter the individual PCCC of the person placing the order in the required PCCC field. In the order notes, please indicate that you would like to use your company’s PCCC for shipping and provide the company’s PCCC number.

We will process the shipment according to your order notes and use the company’s PCCC for customs clearance when applicable.

Yes. When placing your order, please enter the individual PCCC of the person placing the order in the required PCCC field. In the order notes, indicate that you would like to use your company's PCCC and provide the company PCCC number. We will process the shipment according to your order notes and use the company PCCC for customs clearance when applicable.

Yes. Customers can use their own shipping account with FedEx, DHL, UPS, or other supported carriers. Please provide the account details when placing the order.

Yes, you can use your own shipping account. We support FedEx, DHL, UPS, and other major carriers. Please provide your account details when placing the order.

Compatible GigE cameras can use PoE to carry power and data through one Ethernet cable when the camera and network equipment support the required PoE standard.

Yes. ROI can be used to increase frame rate on supported cameras. In many high-speed models, reducing the vertical image height increases the achievable frame rate, while horizontal cropping may not increase frame rate. The exact rule depends on the camera model.

The camera SDK is primarily intended for image acquisition and secondary development. If you need image analysis, inspection logic, OCR, or other application-specific functions, you may need compatible third-party software or our available vision software.

Yes, if mount, sensor format, image circle, wavelength range, and application requirements are compatible. A different sensor can change the field of view.

Compatibility depends on whether the third-party software supports the camera's interface and standard protocol. Some software packages may not support all USB 3.0 industrial cameras. Please confirm the software name and version before purchase.

Yes, as part of systems using stereo, structured light, laser triangulation, or other 3D methods. The camera must match the chosen 3D architecture.

Yes. Suitable industrial and scientific imaging products can be used for laboratory, research, education, and experimental systems.

Our industrial cameras can be used in selected surveillance and monitoring applications, but the appropriate model depends on the scene, lighting, working distance, frame rate, and environmental requirements. Please share your surveillance details for a recommendation.

Yes, with appropriate industrial cabling, grounding, shielding, and interface design. Select hardware suitable for the electromagnetic environment.

Some camera SDKs and interfaces support ARM platforms. Compatibility depends on the camera, operating system, architecture, drivers, and SDK.

Supported camera models can run on Linux when the required SDK, drivers, interface, and architecture are available.

Some USB and GigE cameras can be integrated with Raspberry Pi when interface bandwidth, drivers, SDK, and processing resources are sufficient.

Kepler Pro supports compatible cameras using standards such as GigE Vision and USB3 Vision, depending on the software version and camera model. Please confirm the camera brand, model, and interface for compatibility.

Yes. Line scan systems are well suited to continuous textile, fabric, and web inspection. Lighting should emphasize weave defects, stains, holes, or surface variation.

Yes. Depending on the material and the property that needs to be identified, visible, NIR, SWIR, multispectral, or hyperspectral cameras can be considered. Please provide the material type, target difference, sorting speed, and required accuracy.

Yes. Coaxial, diffuse, dark-field, or polarized illumination can be used to control reflections and emphasize defects on reflective surfaces.

Yes. Suitable camera resolution, optics, lighting angle, polarization, and image processing can reveal scratches, dents, pits, and other surface defects.

Yes. Machine vision can inspect battery appearance, dimensions, surfaces, welds, labels, and other defects. The imaging technology should be matched to the component and defect.

Yes. Cameras can inspect label presence, position, print quality, barcode, OCR, seals, and packaging defects. Area or line scan can be selected according to motion and geometry.

Yes. Camera resolution, lighting, viewing angle, and image-processing software can be configured for solder-joint inspection according to component size and inspection criteria.

Many controllers support adjustable brightness. The available control method and range depend on the controller and light source.

Yes. Selected machine vision lights can be customized for waterproof applications. Please provide your required IP rating, dimensions, wavelength, voltage, and power requirements.

Yes. Supported cameras can be synchronized using shared hardware triggers, encoder signals, or other timing methods depending on the system architecture.

Yes, when the switch, links, host adapter, and total bandwidth are sufficient. The network should be designed around the combined camera data rate.

Yes. With suitable spectral filters and configurations, MWIR systems can visualize gases such as methane and other gases with characteristic absorption bands in real time.

Yes. NIR and SWIR imaging can reveal spectral differences related to vegetation, moisture, and material properties. The appropriate camera depends on the required wavelength range, target property, spatial resolution, and outdoor operating conditions.

Possibly, if the required field of view, resolution, perspective, and simultaneous viewing needs can be met. A wider field of view may reduce pixels on critical features.

A multi-channel controller can operate multiple compatible light sources when channel count, voltage, current, and control mode match the lights.

Yes, on supported cameras. Reducing the active image area or using an appropriate ROI can increase the achievable frame rate. The exact relationship between resolution and frame rate depends on the camera model.

Industrial cameras provide image acquisition, while automatic defect detection or pass/fail judgment normally requires image-processing or machine learning software. We can recommend compatible hardware and software based on your target defect, size, speed, and environment.

Video export depends on the camera and acquisition software. For very high frame rates, dedicated high-speed storage software may be required to save the acquired image stream reliably. Please provide the camera model and desired file format for confirmation.

Supported cameras can be integrated with HALCON through compatible acquisition interfaces, drivers, SDKs, or standard protocols. Verify the exact model and HALCON version.

Supported cameras can often be integrated with LabVIEW through the SDK, compatible drivers, or supported machine vision interfaces.

Supported cameras can be integrated with MATLAB through SDKs, adapters, or supported acquisition interfaces, depending on the model and environment.

Yes, where the SDK or interface provides image data that can be passed into OpenCV. Implementation depends on camera interface, SDK, OS, and programming language.

Integration may be possible through compatible drivers, SDKs, or custom nodes. The exact method depends on the camera interface and Linux environment.

Compatibility depends on the camera interface, acquisition driver, and VisionPro version. Standard interfaces may simplify integration when supported.

Selected industrial camera models are designed and tested for demanding environments, including applicable shock and vibration requirements. Environmental suitability depends on the exact model, enclosure, temperature, humidity, and other conditions. Please provide your environmental requirements before selection.

Some cameras can attach timestamps, frame counters, or other metadata to images. Availability depends on the camera and acquisition software.

Yes. The camera can provide image data for shape analysis, but the actual measurement or analysis is normally performed by application software or a customer-developed algorithm. Our SDK provides image acquisition and camera control functions.

Yes. High-speed cameras can be used to record transient laser welding processes for motion and process analysis. Please provide the welding speed, field of view, lighting conditions, and required frame rate so we can recommend a suitable model.

Yes, if its field of view, resolution, frame rate, optics, and dynamic range meet all product requirements. Separate software and lighting recipes can support product changeovers.

The SDK is primarily for camera control and image acquisition. Defect detection normally requires image-processing, machine-learning, or application-specific software.

The SDK is primarily for camera control and image acquisition. It does not necessarily provide libraries for reading application-specific machine messages. Message processing normally needs to be developed in the customer's application.

Yes. Thermal cameras can monitor temperature patterns and identify hot areas, with performance depending on sensitivity, field of view, distance, and environmental conditions.

Yes. Thermal cameras can reveal abnormal heat patterns on electrical, mechanical, and industrial equipment. Radiometric models may be preferred for quantitative alarms.

Yes, provided the camera has suitable temporal response, target size, optics, emissivity settings, and measurement geometry. Motion can make precise spot measurement more challenging.

Yes, but wavelength, lighting, and optics are critical. Backlighting, polarization, NIR/SWIR imaging, or specialized optics may reveal edges, contaminants, or internal features.

Yes. Stereo vision uses two synchronized cameras with known geometry to estimate depth. Stable mounting and accurate calibration are essential.

Long USB 3.0 runs may require active extension solutions or repeaters. The final configuration should be validated for stable high-bandwidth acquisition.

Some may work physically, but transmission and focus performance can be poor outside the designed wavelength range. Use optics specified for the required spectral band when image quality matters.

Yes. Selected lighting products can be customized according to wavelength, dimensions, voltage, power, mechanical design, and environmental requirements. Please provide your application and required specifications.

We primarily provide machine vision hardware such as cameras, lenses, lighting, and related components, together with available machine vision software. Customers or system integrators normally handle application-specific system integration and development. Project-specific technical consultation may be available separately.

Selected products can be customized depending on the model and project requirements. Please provide the required sensor, resolution, interface, housing, connector, power, or other specifications so we can evaluate feasibility.

A drop-in replacement may be possible when mechanical, electrical, optical, interface, trigger, and software requirements can be matched. Provide the obsolete model for assessment.

Yes. We can provide documents such as a Proforma Invoice, commercial invoice, and shipping invoice as applicable to the order. Contact market@visiondatum.com to get it.

Where applicable, product classification information can be provided in shipping documentation. Final classification and duties are determined by destination customs authorities.

Available certificates depend on the product and destination. Specify the required standard or document before ordering so availability can be confirmed.

Yes. Product drawings and dimensions are available through our online catalog. After order confirmation, 3D drawings can also be provided for applicable products. Please share the product model or link if you need a specific drawing.

We provide available machine vision software and SDKs, but project-specific inspection algorithms and system integration may require customer or system-integrator development. Feasibility should be verified with the actual target and production conditions.

Yes. Please provide the camera model or link, sensor format, field of view, and working distance. Based on these parameters and your application requirements, we can recommend a suitable lens. Inquiry Now

Yes. Camera, lens, and lighting should be selected as a complete imaging system. Application details and target samples help determine the best combination.

Yes. Our machine vision cameras are used in applications including factory automation, robotics, logistics, inspection, electronics manufacturing, agriculture, medical imaging, and other industrial applications. The suitable camera depends on the target and inspection requirements.

Our imaging products can be evaluated for suitable scientific, industrial, and specialized imaging applications. Please provide the intended application and technical requirements so we can confirm product suitability and applicable compliance requirements.

A replacement depends on spectral range, spatial and spectral resolution, line rate, calibration, data format, optics, software, and mechanical integration. Tell us your requst, our technical team will recommend you a similar model!

A replacement depends on spectral range, detector resolution, lens, radiometric capability, calibration, interface, software, mechanical design, and environmental requirements. Tell us your request, and our team will recommend you a similar model!

They often benefit from lenses designed to resolve fine sensor detail. Lens resolution should be matched to pixel size, sensor format, and inspection requirements.

CoaXPress systems normally require a compatible CoaXPress frame grabber or acquisition card. The card and cable configuration must match the camera.

A standard GigE Vision camera normally connects directly to a suitable Ethernet interface and does not require a traditional frame grabber.

A USB 3.0 camera normally connects directly to a compatible USB 3.x host controller and does not require a traditional frame grabber.

For indoor or low-light industrial imaging, an active NIR illuminator can improve contrast and repeatability. Common NIR illumination wavelengths include 850 nm and 940 nm, depending on the camera and application.

Yes. With an exposure time as short as 1 μs, iCentral Pro and iCentral SE cameras can effectively freeze fast-moving targets and reduce motion blur. Pixel binning modes can improve image brightness and signal performance, while AI image enhancement helps maintain clear and detailed images under low-light conditions.

Yes. With an exposure time as short as 1 μs, iCentral Pro and iCentral SE cameras can effectively freeze fast-moving targets and reduce motion blur. Pixel binning modes can improve image brightness and signal performance, while AI image enhancement helps maintain clear and detailed images under low-light conditions.

Not necessarily. Compared with full hyperspectral data cubes, multispectral data volumes can be significantly smaller. Depending on the model and algorithm, processing can often be performed on standard industrial computers or edge devices.

No. The lens must cover the sensor format and match the required magnification, working distance, mount, and field of view.

We serve customers in many countries and are open to discussing distribution or sales partnerships. Please provide your company name, website, country, and business information so our team can evaluate the opportunity. Quick inquiry here.

We currently do not have offices in every country. If you have product or technical requirements, please inquiry online or contact market@visiondatum.com directly and we will support you remotely.

Stock availability depends on the product model and configuration. Please provide the model you need and we will confirm the current stock status and estimated preparation time. Inquiry Now

We generally do not provide free demo units or camera loans. However, special pricing may be available for an initial sample purchase depending on the project. Please apply for a special price here: Quotation

Yes. IR-corrected lenses are available in selected formats such as 2/3 inch, 1 inch, and 1.1 inch, with focal lengths depending on the series. Please provide your camera model and wavelength range for a suitable recommendation.

Yes. We provide a free SDK with supported cameras for image acquisition and secondary development. Depending on the application, we also offer software such as Kepler Pro, Dolphin CV, and high-speed storage software.

Yes, we provide technical support for installation, configuration, and usage of Vision Datum industrial imaging products. Please send email to support@visiondatum.com if you have any technical questions.

Yes. We provide telecentric lenses for machine vision applications. The suitable model depends on sensor size, magnification, field of view, working distance, and required depth of field. Inquiry Now

Yes. We offer zoom lenses. To recommend a suitable model, please provide your required focal length range, mount type, sensor format, field of view, and working distance.

Yes. Our portfolio includes industrial cameras, lenses, machine vision lighting, controllers, and machine vision software, allowing customers to build imaging solutions from compatible components.

Yes. Push-broom systems capture a narrow line at a time, so relative motion is normally required to build a complete spatial-spectral data cube.

Many thermal cameras use internal non-uniformity correction (NUC) to maintain image uniformity. For high-precision industrial temperature measurement, periodic factory calibration may be recommended depending on the required accuracy and application.

Binning can improve effective signal level and signal-to-noise performance, depending on the sensor architecture and implementation.

Yes, if the camera, lens, target plane, or mechanical geometry changes enough to affect the calibrated relationship. Precision systems should verify calibration after such changes.

No. Image quality also depends on sensor dynamic range, noise, optics, exposure, lighting, and processing. Bit depth should match the application.

No. Resolution must be matched with optics, field of view, frame rate, lighting, and the smallest feature that must be detected.

Yes. Sun angle, clouds, shadows, atmospheric conditions, and changing illumination can affect measurements, so flight planning and radiometric correction are important.

Standard industrial camera packages normally include the camera and required basic accessories, while lenses and lighting are selected separately according to the application. Smart vision camera configurations may integrate or include more components depending on the product.

Support depends on the specific camera model and interface. Please check the model documentation for GenICam or GenICam-compatible support.

Yes. Many of our cameras support third-party machine vision software such as HALCON, LabVIEW, MATLAB, and OpenCV through standard interfaces or the provided SDK. Please confirm the specific camera model and software version for compatibility.

Not necessarily. At very high acquisition rates, sustained recording depends on the camera, interface, host PC, storage performance, software, and data path. For demanding high-speed recording, dedicated high-speed storage software or a custom acquisition solution may be required.

Yes. For supported camera models, the free SDK can be called from Python for secondary development. Please provide the camera model if you need the corresponding SDK and sample code.

You can contact our support team via support@visiondatum.com. We usually respond within 24 hours on business days.

Use standardized interfaces and software, document configurations, plan lifecycle replacements, and leave sufficient bandwidth and processing headroom for future requirements.

Use standardized interfaces, documented configurations, lifecycle planning, sufficient bandwidth and processing headroom, and replaceable modular components.

Use validated configurations, preventive maintenance, spare components, documented settings, monitoring, and clear troubleshooting procedures.

A camera can typically be synchronized with a PLC using compatible digital trigger I/O, encoder signals, or a motion controller.

We can help assess camera selection based on your application requirements. Please provide sample images, target details, required detection accuracy, working distance, and other relevant parameters. Depending on the project, a sample purchase, remote technical support, or a test arrangement may be available.

Once your order is shipped, we will provide a tracking number via email so you can monitor your shipment in real time.

Use a stable machine vision light and controller, and synchronize illumination with camera exposure when required. Avoid relying on uncontrolled ambient lighting.

Estimate data rate from image width ~ image height ~ bytes per pixel ~ frame rate, then allow additional margin for protocol overhead and system operation.

Field of view depends on sensor size, focal length, working distance, and optical design. Use the camera and lens specifications together for accurate selection.

Estimate magnification from the desired sensor image size divided by the corresponding object size, then verify working distance, sensor format, distortion, and depth of field.

Consider frame rate, exposure time, resolution, target speed, field of view, lighting, storage bandwidth, and trigger requirements. For very fast events, a short exposure time and sufficient frame rate are critical to reduce motion blur and capture the event clearly.

Consider light type, number of channels, voltage and current, continuous or strobe operation, trigger frequency, control interface, and customization needs.

Use thermal imaging when emitted infrared or temperature is the key information. Use SWIR when reflected or transmitted short-wave infrared reveals material, moisture, semiconductor, or sorting differences.

Choose area scan when a complete 2D frame can be captured at once. Choose line scan for continuous moving materials or web inspection where line-by-line acquisition is more efficient.

Choose monochrome when contrast, sensitivity, or fine detail is the priority. Choose color when color differences are essential to the inspection decision.

Use NIR for selected near-infrared information, SWIR for longer-wavelength material or moisture contrast, and hyperspectral when detailed information across many bands is required.

Consider target material, defect type, surface reflectivity, working distance, field of view, camera sensitivity, and required contrast. Lighting should be selected with the camera and lens as a system.

Select magnification from target size and usable sensor area, then verify working distance, depth of field, distortion, and optical resolution.

The DOF value listed in a datasheet represents an ideal condition. For an accurate assessment, we need to know the camera and sensor parameters used in your application. Please provide the camera model or datasheet together with your required working distance and field of view.

Lighting should be selected according to the target material, defect type, surface reflectivity, working distance, field of view, camera sensitivity, and required contrast. Common options include ring lights, backlights, line lights, spotlights, tunnel lights, NIR lights, and UV lights.

Choose the range according to the material properties or spectral features you need to identify. VNIR, SWIR, and other ranges reveal different information.

Review sensor, resolution, pixel size, frame rate, exposure, shutter type, interface, trigger I/O, spectral response, power, dimensions, and environmental specifications against your application requirements.

Use suitable network adapters and switches, configure packet size appropriately, reserve bandwidth, and reduce unrelated network traffic.

Use industrial cables, strain relief, appropriate bend radius, and cable carriers where needed. Avoid repeated sharp bending or pulling on connectors.

Ensure the camera, optics, lighting, and exposure reveal the defect clearly, then review inspection algorithms and thresholds using representative good and defective samples.

First stabilize camera, lighting, exposure, focus, trigger, and mechanical alignment. Then review processing thresholds and representative samples to identify the source of false rejects.

Use a stable hardware trigger, suitable cables and electrical interfaces, and synchronize the camera with the motion controller or encoder when precise timing is required.

Common approaches include using a suitable polarizer in front of the lens or using a camera and lighting setup designed for polarized imaging. The best method depends on the target surface, lighting angle, and material.

Please contact support@visiondatum.com for technical support. For faster troubleshooting, provide the camera model, serial number, SDK or software version, operating system, a description of the issue, and relevant photos or videos.

We do not accept returns or exchanges for reasons other than product defects or quality issues.

Before placing an order, customers are responsible for confirming that the selected product is suitable for their needs and intended application. We are not responsible for product selection or application suitability. Returns or exchanges will not be accepted for the following reasons:

• Misunderstanding or incorrect product selection
• Product does not match the customer's intended application
• Personal dissatisfaction or other non-quality-related reasons

All products undergo quality control and quality assurance before shipment. If the product you receive is damaged, defective, or does not match the product description, you may submit a return or exchange request within 3 working days of receiving the product.

Please contact our support team with details of the issue and relevant supporting information so that we can review your request.

A typical setup is to mount the camera and lens, connect power and the interface cable, install the supported SDK or acquisition software, configure camera parameters, and capture images. The exact steps vary by camera model and interface.

Test representative samples under real conditions and verify resolution, frame rate, exposure, trigger timing, image stability, environmental performance, and software integration.

Indium gallium arsenide (InGaAs) detectors absorb photons in wavelength ranges that extend beyond silicon sensitivity. The resulting electrical signal is read out to form an image. Detector composition, pixel design, cooling strategy, and readout electronics influence spectral response, noise, and speed.

A CMOS area sensor converts light into charge at each pixel, then reads the resulting signals through on-sensor electronics. Depending on the sensor architecture, exposure and readout may operate with global or rolling shutter timing. The camera processes and transfers the image to a host system.

Push-broom hyperspectral cameras acquire spectral information line by line. To build a complete 2D hyperspectral data cube, relative motion between the camera and target is required. In laboratory systems this can be provided by a translation stage; in UAV applications, flight motion can provide the scan.

Emissivity describes how effectively a surface emits thermal radiation compared with an ideal blackbody. Incorrect emissivity settings can cause large temperature errors, particularly on shiny or reflective materials. Reflected background radiation and surface condition should also be considered.

Motion blur occurs when an object moves across multiple image pixels during exposure. Shorter exposure reduces displacement and usually produces sharper moving features, but also reduces collected light. Stronger illumination, suitable optics, and sensitive sensors may be needed to maintain image quality.

High-speed imaging prioritizes capturing rapid motion or short-lived events, often using higher frame rates, reduced regions of interest, and substantial data bandwidth. Conventional machine vision may prioritize resolution, inspection repeatability, integration, or continuous throughput. The correct system depends on the event and measurement goal.

A multi-channel lighting controller triggers different light sources or lighting angles at defined times. The camera associates acquired lines with the corresponding illumination channel, enabling multiple contrast views of the same moving material. Channel timing must be matched to scan rate and transport speed.

Larger pixels can collect more photons under comparable conditions, but actual low-light performance also depends on quantum efficiency, read noise, optics, and sensor architecture.

A push-broom system captures one spatial line with spectral information across many wavelengths. Relative movement between the sensor and target builds the second spatial dimension of the data cube. Stable motion, exposure, and calibration are needed to avoid spatial or spectral artifacts.

Frame rate depends partly on how quickly pixel data can be read from the sensor. Readout architecture, active image height, pixel format, exposure timing, and interface bandwidth can limit achievable frames per second. Reducing the region of interest may increase frame rate on supported models.

TDI accumulates signal from the same moving feature over multiple stages, increasing the total collected signal. This is especially useful when illumination or exposure time is limited. The benefit depends on accurate motion synchronization, sensor architecture, and noise behavior.

Thermal cameras detect infrared radiation from a scene and convert it into an image related to apparent temperature or radiance. The measurement depends on sensor calibration, atmospheric transmission, reflections, and target emissivity. A thermal image is not automatically an accurate surface-temperature map.

A sample absorbs excitation light at one wavelength and emits fluorescence at longer wavelengths. A camera records the emitted light while optical filters suppress unwanted excitation and ambient light. Fluorescence depends on material composition and excitation conditions, so sample testing is recommended.

The preparation time depends on product availability:

• In-stock items: Ready for quick shipment.
• Pre-order items: Typically require around 7–14 days for preparation.

For products with a longer lead time, we will notify you by email after your order is placed.

Please note that the actual delivery time may also vary depending on the shipping method and destination.

The critical feature should occupy multiple pixels rather than a single pixel, but the exact requirement depends on contrast, optics, and the inspection algorithm and should be validated with samples.

Hyperspectral systems generate much more data than conventional cameras because each spatial location contains multiple spectral bands. Data volume depends on bands, resolution, bit depth, and acquisition rate.

Storage capacity is approximately image data rate multiplied by recording time, plus overhead. Resolution, bit depth, frame rate, camera count, and compression affect the final requirement.

Use the shortest exposure that freezes the motion, provide sufficient illumination, and increase gain only as needed because excessive gain can increase image noise.

Choose a line scan camera for continuous moving materials such as paper, film, printing webs, and other high-speed production lines. Choose an area scan camera for stationary or relatively slow-moving objects where a complete 2D frame is captured at once.

Choose the GigE Series if your application requires:

• Long-distance transmission of up to 100 m
• Multi-camera networking
• PoE for power and data transmission through a single cable
• Flexible industrial network integration

Choose the USB 3.0 Series for short-distance applications that require high bandwidth, high frame rates, and plug-and-play connectivity.

The best interface depends on your transmission distance, camera quantity, bandwidth requirements, and system architecture.

Global Shutter exposes all pixels at the same time and is generally preferred for fast-moving targets where motion distortion must be minimized. Rolling Shutter reads the image sequentially and is better suited to stationary or controlled-motion applications.

To recommend the most suitable camera, please share your application requirements, such as resolution, frame rate, camera type, interface, target size, working distance, and whether the target is stationary or moving. If you are replacing an existing camera, please also provide the current model or specifications. Inquiry Now

Remove loose dust first and then use appropriate optical cleaning materials without scratching the surface. Follow the lens manufacturer's cleaning procedure.

Compare sensor, resolution, pixel size, frame rate, exposure, shutter, interface, trigger functions, lens compatibility, environmental rating, SDK support, and lifecycle support against the application.

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Trial versions may be available for selected software, including DolphinCV, Kepler Pro and high-speed storage software. Trial terms and included modules can vary. Please contact our sales team to request the appropriate trial version.

Applicable high-speed camera systems can include image acquisition software for parameter setting and recording. Some high-speed workflows may require dedicated high-speed storage software to sustain continuous data recording without frame loss.

Applicable high-speed camera systems can include image acquisition software for parameter setting and recording. Some high-speed workflows may require dedicated high-speed storage software to sustain continuous data recording without frame loss.

Compatibility depends on the camera series and application. Our cameras support common development environments and vision software, including C++, C#, Python, HALCON, LabVIEW, VisionPro, MATLAB, and OpenCV. Supported operating systems include Windows and Linux for applicable models. Please provide the camera model and software environment for confirmation.

Yes. The iCentral Series cameras include a professional SDK and support C++, C#, Python, HALCON, LabVIEW, and VisionPro for software integration.

They are compatible with Windows, Linux, ARM, and Raspberry Pi platforms, making them easy to integrate into a wide range of machine vision systems and applications.

Monochrome line scan cameras are often preferred for defect detection where intensity and contrast are the main concerns. Color line scan cameras are more suitable when color information or color quality needs to be evaluated.

Choose a Global Shutter camera when inspecting fast-moving objects or applications where motion distortion must be minimized, such as logistics sorting, high-speed manufacturing, and moving electronic components. Global Shutter captures the entire image at the same moment, helping reduce motion-related distortion.

A Rolling Shutter camera can be a suitable choice for stationary targets or applications with controlled and relatively slow movement. It can offer higher resolution and a cost-effective solution when motion distortion is not a major concern.

For critical production lines, a validated spare can reduce downtime. The spare should match the production configuration and documented software and settings.

Automatic exposure is useful when scene brightness changes, while fixed manual exposure is usually preferred for stable industrial inspection because it provides repeatable imaging.

The standard accessories depend on the model. Typical items may include a power supply, BNC cable, network cable, and lens adapter. Optional lenses are available according to the camera mount and application.

High-speed cameras are used for motion analysis and transient-event recording, including fluid dynamics, flame and combustion analysis, welding, impact and drop tests, vibration, electrical discharge, and explosion testing.

Jumbo frames allow larger Ethernet packets and can reduce packet overhead in some GigE Vision systems, provided the entire network path supports the configured size.

GigE systems can support long Ethernet runs when suitable cabling and network hardware are used. The practical maximum depends on the interface, cable category, data rate, and installation environment.

Resolution should be selected from the smallest feature, field of view, optics, and required pixels across the defect. The complete imaging system should be validated with representative samples.

Focus can change due to temperature, vibration, lens movement, working-distance changes, or optical expansion. Rigid mounting and suitable lens locking can improve stability.

We currently ship to almost all countries worldwide. If you would like to confirm whether we can ship to your destination, please contact us at market@visiondatum.com.

Spatial resolution depends on detector pixels, optics, field of view, working distance, target motion, and system geometry.

Spectral resolution depends on the spectrograph, detector, optical design, spectral sampling, and calibration.

Hyperspectral systems can output raw hyperspectral data cubes containing spatial and spectral information. Depending on the system and workflow, the data can be processed with professional analysis software such as ENVI and MATLAB.

The required frame rate depends on target speed, field of view, spatial resolution, exposure time, and the number of frames needed to capture the event. As a general guide, 1,000~5,000 fps can suit slower motion studies, 20,000~100,000 fps can suit impact or flame events, and hundreds of thousands to over one million fps may be used for very fast events such as explosions or electrical discharge.

Provide product model, serial number, order information, problem description, software or SDK version, operating system, logs, and relevant photos or videos.

Please provide a description of the issue, order or contract number, product serial number, SDK or software version, operating system, relevant photos or videos, and the completed RMA form where applicable. Send the information to support@visiondatum.com.

Include product or target details, smallest defect, field of view, working distance, speed, accuracy, lighting, environment, interface, trigger, quantity, destination, and software requirements.

Provide target size, smallest feature, object speed, field of view, working distance, required accuracy, lighting, environment, interface, trigger requirements, and application. Sample images are helpful.

Depending on the product series, available interfaces include USB 3.0, GigE, 10GigE, Camera Link, and CoaXPress. The appropriate interface depends on required bandwidth, cable distance, camera count, and system architecture.

A Bayer color filter array places red, green, and blue filters over different sensor pixels. Software reconstructs full-color images through demosaicing. This approach enables compact single-sensor color cameras but involves tradeoffs in color sampling, detail, and processing artifacts.

A frame grabber is acquisition hardware that receives, buffers, and transfers image data from interfaces such as Camera Link or CoaXPress to a host computer.

A hyperspectral data cube is a three-dimensional dataset with two spatial dimensions and one spectral dimension. Each spatial pixel contains measurements across multiple wavelengths. Data cubes can be large, so storage, correction, visualization, and analysis workflows should be planned in advance.

An image sensor converts incoming light into electrical signals that are processed into digital image data. In machine vision, sensor characteristics such as pixel size, quantum efficiency, noise, shutter type, and readout speed affect image quality and inspection performance.

A recipe is a saved set of camera, lighting, processing, and inspection parameters for a specific product or production condition.

A proof-of-concept evaluates whether the selected camera, lens, lighting, and processing can meet the required inspection result before full deployment.

A spectral signature is the pattern of reflectance, absorption, or emission of a material across wavelengths. It can help distinguish substances that look similar in ordinary images. Signatures depend on measurement geometry, lighting, surface condition, calibration, and the selected spectral range.

A white reference is a target with known or characterized reflectance used to normalize illumination and sensor response in hyperspectral measurements.

Area scan cameras expose a two-dimensional pixel array to capture a full image of the field of view in one frame. They are commonly used for discrete objects, robot guidance, dimensional inspection, and applications where the scene can be imaged within a single frame.

Bit depth specifies how many digital intensity levels can represent each pixel sample, such as 8-bit or 12-bit. More levels can help retain subtle intensity differences when the sensor and imaging chain provide sufficient useful information. Bit depth alone does not determine sensor dynamic range or accuracy.

Boresight calibration determines the angular alignment between an imaging sensor and the UAV's attitude or navigation reference system, improving georeferencing accuracy.

Calibration establishes the relationship between image coordinates and real-world coordinates and can compensate for optical distortion and system geometry.