Foxconn has partnered with Socionext, a major provider of advanced SoC solutions for video and imaging systems and leading artificial intelligence (AI) chipmaker Hailo to launch the next-generation AI processing solution for video analytics at the edge.
Foxconn has combined its high-density, fan-less, and highly efficient edge computing solution, BOXiedge, with Socionext's high-efficiency parallel processor SynQuacer SC2A11, and the Hailo-8 deep learning processor. The new combination provides market-leading energy efficiency for standalone AI inference nodes, benefiting applications including smart cities, smart medical, smart retail, and industrial IoT.
Robust Solution Processes More Than 20 Camera Streaming Inputs in Real Time
Foxconn has already deployed several in-house developed AI solutions on different production lines, leading to an improvement in reporting accuracy from 95% to 99% and a reduction of at least one third of the operating costs for appearance defect inspection projects.
Hailo's specialized Hailo-8 deep learning processor delivers unprecedented performance to edge devices. Featuring up to 26 Tera Operations Per Second (TOPS), the chip is built with an innovative architecture that enables edge devices to run sophisticated deep learning applications that could previously only run on the cloud. Its advanced structure translates into higher performance, lower power, and minimal latency, enabling enhanced privacy and better reliability for smart devices operating at the edge.
Gene Liu, VP of Semiconductor Subgroup, Foxconn Technology Group
Our edge computing solution combined with Hailo's deep learning processor will create even better energy efficiency for standalone AI inference nodes to positively impact rapidly evolving sectors including smart cities, smart medical, smart retail, and industrial IoT.
Noriaki Kubo, EVP, Socionext
This collaboration will lead to more innovative solutions that specifically address the growing demand from our AI customers in multiple sectors.
