VSC523Q24.041P-000 B & R Automation

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The B & R Automation VSC523Q24.041P-000 is a smart camera from the VS Smart Sensors series, equipped with a 3.5 MP resolution and a frame rate of 43 fps. It features a Cortex A9 i.MX6 quad core processor running at 800 MHz with 2 GB RAM and a 1 MB L2 cache. This integrated machine vision device offers several vision functions simultaneously and includes a deep learning variant.

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Product Description:

B&R Automation supplies the VSC523Q24.041P-000, a member of the VS Smart Sensors series and part of the Smart Camera product group. Within the integrated machine vision range, it combines an image sensor, optics, multicolored lighting, and an embedded quad-core processor. The result is a self-contained vision node that performs inspection, positioning, and barcode reading directly on conveyors or robotic cells, simplifying wiring and eliminating the need for a separate industrial PC.

The imaging block captures scenes at a native resolution of 3.5 MP, allowing fine feature discrimination across medium-size fields of view. A rolling shutter streams data at up to 43 fps, so fast indexing mechanisms can be monitored without missed frames. The factory-installed 1/1.8-inch lens has a focal length of 8 mm and an F4 aperture, and together with the 37° horizontal angle of view, it supports short working distances while limiting distortion. A sapphire glass front window carries an anti-reflective coating to maximize transmission, and the illumination path is matched to LED lens type 2 for consistent beam shaping. Sensor, lighting, and I/O connections are housed in an S-mount body, and the device runs a quad pipeline clocked at 800 MHz across 4 cores, shortening exposure-to-decision latency. Line-sensor functionality is disabled, keeping the model optimized for area imaging.

Processing tasks are executed by a Cortex-A9 i.MX6 quad-core SoC backed by 2 GB of DDR3 RAM and a 1 MB shared L2 cache, providing headroom for parallel algorithms. The onboard inference accelerator performs preprocessing so that classification, measurement, and blob analysis can run simultaneously. A radial lighting ring built from 16 LEDs, arranged as four multicolor segments, delivers selectable R/G/B/Lime channels for contrast tuning. This deep learning-capable unit ships as the Deep learning variant, making it suitable for feature detection models that benefit from convolutional networks.

Angle
37°
Clock Frequency
800 MHz
Focal Length
8 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 2, standard
Lens Type
8 mm, F4 1/1.8"
Lighting Type
R / G / B / Lime
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 VSC523Q24.041P-000:

Q: What is the resolution of the VSC523Q24.041P-000 smart camera?

A: The VSC523Q24.041P-000 offers a 3.5 MP resolution for detailed image capture.

Q: How much RAM does the VSC523Q24.041P-000 camera include?

A: This model comes equipped with 2 GB of RAM for image processing and vision tasks.

Q: What is the LED lighting configuration on the VSC523Q24.041P-000?

A: The VSC523Q24.041P-000 features 16 LEDs in 4 segments, each segment with 4 multicolored LEDs.

Q: What is the focal length and lens mount type of the VSC523Q24.041P-000?

A: The focal length of the VSC523Q24.041P-000 is 8 mm, paired with a standard S-mount.

Q: What feature does the VSC523Q24.041P-000 have for preprocessing performance?

A: This camera includes an inference accelerator to enhance preprocessing performance for machine vision tasks.


Internal Product Review

  • ‘‘The VSC523Q24.041P-000 is a smart camera from B & R Automation's VS Smart Sensors series, featuring a 3.5 MP resolution and a frame rate of 43 fps for precise machine vision tasks. Equipped with a Cortex A9 i.MX6 quad core processor running at 800 MHz and 2 GB RAM, this model accelerates preprocessing with dedicated inference hardware. The unit's deep learning variant supports several vision functions simultaneously, making it an excellent choice for advanced automated inspection.’’

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