VSC523T14.021P-000 B & R Automation

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The VSC523T14.021P-000 is a smart camera from B & R Automation, part of the VS Smart Sensors series, and features a 3.5 MP resolution with a frame rate of 43 fps. It is powered by a Cortex A9 i.MX6 quad-core processor running at 800 MHz with 2 GB RAM and includes an inference accelerator for preprocessing. The camera offers a 74 degree angle of view, a 4.6 mm lens with F3.5 aperture, and 16 multicolored LEDs for lighting, making it suitable for multiple vision functions simultaneously.

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Product Description:

The VSC523T14.021P-000 is a smart camera from B&R Automation in the VS Smart Sensors series. It combines optics, lighting, and onboard processing in one housing, so inspection tasks can run directly at the machine. That integrated design suits code reading, presence checks, and dimensional verification without requiring a separate vision controller.

Its processor uses a Cortex-A9 i.MX6 CPU running at 800 MHz, which helps the camera evaluate images locally with low delay. The imaging system captures 3.5 MP frames at up to 43 fps, supporting fast packaging and assembly lines where parts move continuously. A fixed lens with a 4.6 mm focal length favors short working distances and stable close-range viewing.

An anti-reflective front window supports a wide 74° field of view, helping the sensor cover more of the target area in each exposure. Illumination is provided by 16 LEDs arranged in four independently controlled segments, allowing color or ultraviolet lighting to be matched to the inspection task. The deep-learning version uses 4 cores and 2 GB of RAM for edge inference, while line-scan operation is not supported.

Wake Industrial stocks this model and can arrange same-day shipping when time is critical. Every purchase includes a 1-year warranty, and quoted pricing remains valid for 30 days. Customers with general questions about type details or fault indications can use the chat tool available on the website. That makes it easier to confirm basic information before placing an order or planning a replacement. Responses help reduce delays during maintenance or procurement scheduling.

Angle
74°
Clock Frequency
800 MHz
Focal Length
4.6 mm
Frame Rate
43 fps
Front Glass Type
Glass with anti-reflective coating
Functionality
Several vision functions simultaneously
L2 Cache
1 MB
LED Configuration
16 LEDs (4 segments with 4 multicolored LEDs each)
LED Lens Type
LED lens type 1, wide beam
Lens Type
4.6 mm, F3.5 1/1.8"
Lighting Type
R / G / UV / B
Line Sensor Suitability
No
Mount
S-mount
Number of Cores
4
Preprocessing Performance
With inference accelerator
Processor Type
Cortex A9 i.MX6 quad core
Product Group
Smart Camera
Product Range
Integrated machine vision
RAM
2 GB
Resolution
3.5 MP
Variant Option
Deep learning variant

Frequently Asked Questions about VSC523T14.021P-000:

Q: What are the lens specifications for the VSC523T14.021P-000 smart sensor?

A: This model uses a 4.6 mm focal length lens with an F3.5 aperture and S-mount.

Q: What is the angle of view for the VSC523T14.021P-000 camera?

A: The VSC523T14.021P-000 offers a 74° field of view for image capture.

Q: What frame rate does the VSC523T14.021P-000 support?

A: This smart sensor outputs images at a frame rate of 43 frames per second (fps).

Q: What lighting configuration does the VSC523T14.021P-000 feature?

A: The camera is equipped with 16 multicolored LEDs arranged in four segments for R, G, UV, and B lighting.

Q: What advanced functionality does the VSC523T14.021P-000 offer?

A: This model is a deep learning variant capable of handling several vision functions simultaneously.


Internal Product Review

  • ‘‘The VSC523T14.021P-000 smart camera from B & R Automation delivers advanced machine vision capabilities with a 3.5 MP resolution and a 74° angle of view. Equipped with a Cortex A9 i.MX6 quad core processor running at 800 MHz and 2 GB RAM, this sensor provides fast, reliable processing for complex inspection tasks. Its integrated LED lighting in multiple colors and anti-reflective glass front support high-quality imaging across diverse applications.’’

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