VSC523T25.051P-000 B & R Automation
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The B & R Automation VSC523T25.051P-000 is part of the VS Smart Sensors series and features a Cortex A9 i.MX6 quad core processor running at 800 MHz with 2 GB RAM and a 1 MB L2 cache. This smart camera supports a 5.3 MP resolution at 43 frames per second, has a 12 mm focal length lens, and uses selectable R/G/UV/B lighting with 16 multicolored LEDs.
Internal Product Review
The VSC523T25.051P-000 is a smart camera from the B & R Automation VS Smart Sensors series, featuring a 5.3 MP resolution and a fast 43 fps frame rate for detailed machine vision tasks. Equipped with a Cortex A9 i.MX6 quad core processor and 2 GB RAM, this model supports several vision functions simultaneously and includes an inference accelerator for advanced preprocessing performance. The deep learning variant and multicolored LED configuration make this camera an excellent choice for integrated machine vision applications.
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Product Description:
The VSC523T25.051P-000 belongs to the VS Smart Sensors series from B&R Automation and is a Smart Camera in the Integrated machine vision range. This deep-learning variant combines optics, illumination, and processing resources in a single enclosure, so it can handle inspection, identification, and guidance tasks directly on the production line without an external PC. Because imaging, lighting, and computing are housed together, cable routing and mounting remain simpler than with distributed vision components. That integrated design simplifies installation and supports fast image-based decisions in automated cells.
Image acquisition uses a 5.3 MP sensor that the processor reads at 43 fps for rapid evaluation of moving parts. The embedded CPU runs at 800 MHz, and its Cortex A9 i.MX6 quad core architecture works with 2 GB of RAM to support deterministic processing for feature extraction and classification. A fixed 12 mm lens with an F4 rating and 2/3-inch optical format produces a 37° field of view, while anti-reflective glass helps reduce stray reflections that can lower contrast. The optics use an S-mount, LED lens type 2 helps keep illumination uniform across the scene, and the device can run several vision functions at the same time. This arrangement is suited to moving parts that still require stable contrast for classification and guidance.
High-speed preprocessing is assisted by an inference accelerator, which reduces latency before classification results are forwarded to the controller network. The processor uses a 1 MB shared L2 cache, and 4 symmetric cores keep segmentation, measurement, and code-reading tasks running in parallel. Scene lighting is provided by 16 LEDs arranged in four multicolored segments, and each segment can emit R / G / UV / B wavelengths for visible or ultraviolet operation. The imaging setup also supports applications with elongated targets. The segmented lighting lets applications select wavelength combinations that better reveal print, edges, surface features, or fluorescent marks.
