VSC523R21.051P-000 B & R Automation
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The B & R Automation VSC523R21.051P-000 is a smart camera from the VS Smart Sensors series, featuring a Cortex A9 i.MX6 quad core processor with an 800 MHz clock frequency and 2 GB of RAM. It offers a resolution of 1.3 megapixels, a frame rate of 90 fps, and a 12 mm lens with a 37 degree angle. This deep learning variant supports several vision functions simultaneously, includes an anti-reflective glass front, and is equipped with 16 multicolored LEDs for lighting.
Internal Product Review
The VSC523R21.051P-000 is a smart camera from B & R Automation's VS Smart Sensors line, featuring a 1.3 MP resolution and 90 fps frame rate for precise machine vision tasks. Powered by a Cortex A9 i.MX6 quad core processor with an 800 MHz clock frequency, this model also includes an inference accelerator for advanced deep learning applications. The integrated 16-segment multicolored LED lighting and anti-reflective glass enhance imaging versatility in demanding environments.
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Product Description:
The VSC523R21.051P-000 smart camera produced by B&R Automation is part of the VS Smart Sensors series and belongs to the integrated machine vision product range. This device combines optics, illumination, and processing in one housing, so it can inspect parts, guide robots, and verify codes directly on the machine without an external PC. In automated lines, it serves as a compact vision node that delivers image acquisition, preprocessing, and decision-making over industrial networks. Because the processing is local, image evaluation can occur close to the inspection point instead of relying on a separate vision computer elsewhere in the cabinet.
The onboard Cortex A9 i.MX6 quad-core processor operates at 800 MHz. It has 4 cores and is supported by 1 MB of L2 cache to accelerate arithmetic used for pattern recognition. A dedicated LPDDR3 bank supplies 2 GB of RAM, so multiple vision tasks can run concurrently while maintaining deterministic cycle times. The image sensor delivers a native resolution of 1.3 MP, and an electronic shutter streams data at up to 90 fps, allowing the camera to freeze fast conveyor movements. A 37° field of view and 12-bit pixel depth provide coverage for medium-sized objects without saturating the data bus.
Optics and lighting are integrated around a fixed 12 mm F4 lens that is held in an S-mount behind glass coated to minimize reflections. The annular illuminator contains 16 LEDs arranged in four individually addressable segments, and each diode can emit R / B / IR / White light to adapt to changing surface contrast or glare in real time. Preprocessing is further accelerated by an onboard inference accelerator, enabling the deep-learning variant to execute convolutional networks while also running several vision functions at the same time. Segment control also allows the lighting pattern to be adjusted for edges, embossed marks, and reflective packaging films. The design does not include a line sensor, but it remains compatible with angle-based inspection workflows because of its 37° optic layout.
