Product Description:

The VSS112Q22.041P-000 is a compact image-processing device from B&R Automation, delivered as part of the VS Smart Sensors series for integrated machine vision tasks. It combines optics, lighting, and processing in a single enclosure so that conveyors, pick-and-place stations, or quality gates can obtain real-time inspection without an external PC. The product is classified as a smart sensor and executes one active vision function directly on board, which helps reduce the need for separate image-processing hardware in compact machine layouts.

The sensing side is built around a 1.3 MP CMOS imager that captures full-frame data at up to 165 fps, enabling measurement of fast-moving objects with minimal motion blur. Image streams are processed by a Cortex A9 i.MX6 dual core processor, allowing parallel execution of preprocessing and feature extraction on separate cores. System memory is 1 GB of DDR3 RAM, which buffers multiple frames for temporal algorithms such as blob tracking or edge stability checks. The 8 mm, F4 lens is factory mounted in an S-mount holder, and this fixed focal configuration pairs with a 37° horizontal angle of view to cover components at typical working distances on small to medium conveyors. Front glass with an anti-reflective coating reduces stray reflections from machine lighting so contrast remains stable for threshold-based inspections and repeatable image evaluation.

Execution timing inside the unit is coordinated by an internal clock that runs at 800 MHz and is supported by an L2 cache of 512 kB to reduce external memory access during convolution or segmentation routines. Illumination is delivered by 16 LEDs arranged in four quadrants, and each diode can emit R / G / B / Lime light so color-selective tasks are possible without mechanical filters. The optical stack uses a focal length of 8 mm to maintain consistent magnification across the rated working envelope, and the sensor can also operate in line-sensor mode when continuous web material is inspected. The variant and preprocessing performance are standard, which provides a balanced setup for typical object detection and inspection jobs.