Implementation AI-based industrial automation at the edge is crucial in mission-critical applications that require real-time data processing and low-latency response. For example, the AI-powered machine vision system at the factory edge network can process the vision data analytics, deep Learning Inference and relearning, resulting in immediately improving the flaw detection accuracy, without streaming large volumes of data to the cloud that leads to higher overheads in network bandwidth and power consumption.

However, it’s a time-consuming journey to deploying AI-based machine vision system, which requires a total integration of high speed camera, edge AI computing hardware with accelerator, and application-tailored software building blocks. To accelerate your time-to-market AI deployment at the industrial edge, Lanner provides the consolidated AI Kit for industrial Edge that includes Lanner edge compute platform LEC-2290 powered by Intel® Coffee lake CPU and Movidius Myriad X VPU, Vision & Analytics Suite consist of Intel® Edge Insights for Industrial SW, AIoT reference applications and OpenVINO toolkit , and network camera.

Integrated with the pluggable Intel Myriad X VPU, Lanner LEC-2290 is a fanless Edge AI Computer installed in harsh, space-confined environments for enabling mission-critical applications such as machine vision, 24/7 intelligent surveillance, traffic management, access control, and beyond.

Intel Edge Insights for Industrial is an open and modular product validated software that aggregates and processes time series, image/video data at the edge to provide useful insights via edge analytics. Powered by Intel’s OpenVINO toolkits, EIS accelerates development, enabling quick integrations of pre-trained models (e.g. Tensorflow, Caffe, etc.) for object recognition, classification and facial recognition in vision-based solutions.