VSC523R22.M51P-000 B & R Automation
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The VSC523R22.M51P-000 is a smart camera by B & R Automation and is part of the VS Smart Sensors series. It has a Cortex A9 i.MX6 quad core processor with a clock frequency of 800 MHz, 2 GB RAM, and offers a resolution of 1.3 megapixels. The camera is equipped with a 12 mm F4 macro lens, a 37 degree angle, and supports several vision functions simultaneously with deep learning capabilities.
Internal Product Review
The VSC523R22.M51P-000 from the VS Smart Sensors series is a smart camera featuring a 1.3 MP resolution and a 12 mm macro lens, ideal for precise machine vision tasks. Its Cortex A9 i.MX6 quad core processor at 800 MHz, paired with an inference accelerator, enables fast preprocessing and supports deep learning applications. The integrated lighting system offers R, B, IR, and white options, making this unit a versatile choice for complex inspection environments.
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Product Description:
The VSC523R22.M51P-000 is a smart camera from B & R Automation that belongs to the VS Smart Sensors series. As an integrated machine vision unit, it combines optics, illumination, and quad-core processing to verify parts, guide robots, and monitor quality directly on the line. The S-mount interface accepts the supplied 12 mm F4 macro lens, while glass with an anti-reflective coating protects the front aperture from oil mist and glare. Its rugged enclosure and internal LED array allow installation close to conveyors or pick-and-place heads where separate lighting is impractical.
Image capture starts with a 1.3 MP global-shutter sensor that can stream at 165 fps, so high-speed assemblies are recorded without motion blur. The optical path provides a 37° horizontal field of view when used with the fixed 12 mm macro lens, which suits feature detection at short working distances. A quad processing cluster delivers 4 cores that run preprocessing, pattern matching, and measurement tools in parallel, enabling several vision functions simultaneously while keeping latency low. Line-sensor suitability extends its use to web inspection tasks, and multi-colored on-board LEDs supply R, B, IR, or white illumination through a standard type 2 LED lens for even scene lighting.
The camera’s embedded Cortex-A9 i.MX6 processor operates at 800 MHz and is coupled with 2 GB RAM and 1 MB of L2 cache, providing bandwidth for classification or defect scoring. A hardware inference accelerator boosts preprocessing performance; in the deep learning variant this block runs trained convolutional networks without external GPUs. The integrated lighting ring contains 16 LEDs arranged in four independently addressable segments, letting the application switch colors or create directional highlights by software. These hardware features let the device execute decisions locally and forward discrete results over Ethernet, reducing network load and cycle time.
