Innovative AI Edge Device Cuts Costs and Delivers Faster Performance - insideBIGDATA

Leopard Imaging has been working to address the need for affordable multiprocessing power in deep learning applications. Using Socionext's SC2000 image signal processor and the Hailo-8 M.2 AI acceleration module, Leopard Imaging's EdgeTuring consumes less power, performs at a higher level, and ensures greater reliability for video analytics and privacy at the edge than alternative solutions. Leveraging AWS services such as Amazon Kinesis Video Streams and Amazon Kinesis Data Streams (Amazon KDS), EdgeTuring creates a seamless experience for customers to stream and analyze videos using a simple internet connection. "EdgeTuring has an accuracy ranging from 95% to 99% for several state of the art deep learning – based computer vision applications, such as object detection, image classification and others. Additionally, it processes frames much faster, supports more functions, consumes less power, and costs much less than any comparable solution--all with the ability to stream inputs in real time," said Bill Pu, President and Co-Founder of Leopard Imaging.