Neural processing accelerated smart embedded vision

June 08, 2021 // By Jean-Pierre Joosting
Neural processing accelerated smart embedded vision
Provides OEMs with an application ready platform for the development of next-generation AI accelerated embedded vision systems.

Congatec has extended its i.MX 8 ecosystem with a new starter set for AI accelerated intelligent embedded vision applications. Based on a SMARC Computer-on-Module with i.MX 8M Plus processor, the starter set’s sweet spot is the utilization of the new processor integrated NXP Neural Processing Unit (NPU). Delivering up to 2.3 TOPS of performance for deep learning based artificial intelligence, it can run inference engines and libraries such as Arm Neural Network (NN) and TensorFlow Lite. It also integrates seamlessly with Basler embedded vision software to give OEMs an application ready platform for the development of next-generation AI accelerated embedded vision systems.

Typical applications are wide ranging, from price sensitive automated checkout terminals in retail to building safety, and from in-vehicle vision for navigation to surveillance systems in busses. Industrial use cases include HMIs with vision based user identification and gesture based machine operation as well as vision supported robotics and industrial quality inspection systems.

“A dedicated processing unit for neural algorithms that is supported by open source AI software solutions such as TensorFlow is an efficiency accelerator for many vision based systems. And when all this is integrated as an application ready, hardware and software validated platform including Basler pylon Camera Software Suite, it puts developers on a fast track to designing NPU accelerated smart vision applications,” explains Martin Danzer, Director Product Management at congatec.


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