Overview

The XENO+ Vision ML SOM – R2L100 is a compact, Linux-based System-on-Module engineered for edge vision intelligence. Designed to serve as the core processing unit of AI-powered devices, it delivers powerful video and image analytics using on-device Machine Learning and Artificial Intelligence. Equipped with an integrated 1 TOPS AI accelerator, the module efficiently processes complex neural network workloads directly at the edge, enabling real-time insights without dependence on cloud infrastructure. Its optimized architecture makes it well suited for intelligent vision applications requiring low latency, high accuracy, and reliable performance.

Supporting 2MP to 5MP camera inputs at 30 FPS via a high-speed MIPI CSI-2 interface, the module ensures high-quality RGB and RGB-IR image acquisition. With a 176-pin LGA solderable footprint and a compact 40 mm × 40 mm form factor, the XENO+ R2L100 integrates seamlessly into space-constrained embedded systems. This SOM is an ideal platform for building advanced smart vision solutions such as face recognition systems, people analytics, object detection, and classification engines.