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Vision Datum  |  SKU: iLOX-A1607MFWP

Cámara de aprendizaje profundo AI con enfoque manual 1.6MP 60fps iLOX-A1607M/CFW(P)

$670.00
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All of our products are made to order or prepared specifically based on your purchase. We kindly ask customers to confirm their needs before placing an order. If you need assistance or further clarification before ordering, feel free to contact us - we’re here to help!

Delivery & Shipping

Order Processing Time

  • All orders are processed within 1 business day.

Preparation Time

  • In-stock items: Ready for quick shipment.
  • Pre-order items: Typically require around 7 days for preparation. We will notify you promptly after your order.

Shipping Carriers

  • Orders are shipped via DHL Express, FedEx, or other couriers.

Address Changes

  • Please ensure your shipping address is correct before placing your order.
  • Once an order is processed, address changes may not be possible.

Order Notification Emails

  • Order Confirmation Email (sent after checkout)
  • Shipping Confirmation Email (includes tracking info)

If you have any questions please email to market@visiondatum.com

FAQ

Q1: What is the iLOX-A1607M/CFW(P) designed for?
A: It is designed for AI-based industrial inspection, defect detection, robotics, and automation vision systems.

Q2: Does the camera require an external AI computer?
A: No. It features a built-in AI chip for real-time image processing and intelligent inspection.

Q3: What lighting options are available?
A: It supports white light illumination with optional polarized and non-polarized lighting configurations.

Q4: Is the camera suitable for industrial environments?
A: Yes. With IP65 protection and industrial I/O interfaces, it is suitable for continuous factory operation.

Q5: What applications can benefit from this smart camera?
A: It is ideal for defect detection, object recognition, OCR, packaging inspection, and robot guidance.

Q6: Can the focus be adjusted for different working distances?
A: Yes. The camera uses a manual focus 7mm lens and supports a working distance of 40–150mm.

Descripción del producto

Cámara inteligente con IA con procesamiento integrado para inspección industrial

El iLOX-A1607M/CFW(P) es una cámara inteligente de aprendizaje profundo con IA de 1.6MP que presenta una resolución de 1440×1080, imagen de alta velocidad de 60 FPS y capacidades de procesamiento de IA integradas. Diseñada para aplicaciones de visión de máquina inteligente, permite el reconocimiento de objetos en tiempo real, la detección de defectos y la inspección automatizada sin necesidad de hardware de cálculo adicional.

Equipada con un objetivo de enfoque manual de 7mm, iluminación blanca integrada e iluminación opcional polarizada/no polarizada, la cámara ofrece soluciones de imagen flexibles para diferentes entornos de inspección. Su clasificación de protección IP65, conectividad Ethernet e interfaces I/O ricas la hacen adecuada para una implementación confiable en sistemas de automatización industrial.

Ideal para robótica, inspección de calidad, embalaje, logística y aplicaciones de visión con IA, el iLOX-A1607M/CFW(P) ofrece un rendimiento de visión inteligente rápido, preciso y fácil de integrar.

Características principales

  • Resolución de 1.6MP con imagen de alta velocidad de 60 FPS
  • Chip de IA integrado para inspección en tiempo real
  • Objetivo de 7mm con enfoque manual para despliegue flexible
  • Iluminación de luz blanca con opciones polarizadas
  • Protección industrial IP65 & I/O ricos

Especificaciones

 Modelo
iLOX-A1607M/CFW(P)
Resolución[HxV píxeles]
1440×1080
Tasa de fotogramas [fps]
60
Mono/ Color
M/C
Ethernet
Rápido Ethernet
Distancia focal (mm)
7mm
Tipo de enfoque
Manual
WD (mm)
40-150mm
Fuente de luz
Luz blanca/roja
[Polarizada/No polarizada

Lista de embalaje

1PC*Cámara + 1PC*Cable

Aplicaciones típicas

  • Detección de defectos con IA
  • Inspección de calidad industrial
  • Guía de robot
  • Inspección de embalaje
  • Código de barras & Reconocimiento OCR
  • Automatización de fabricación inteligente

Payment & Security

Payment methods

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