eInfochips, a provider of product engineering services, said it will showcase its AI inferencing at the edge solution, developed in collaboration with Qualcomm Technologies, Inc., at Embedded World.
The key components of eInfochips’ edge solution comprise a camera for video capture, edge computing for face detection, and Amazon Kinesis Video Streams (KVS) for live streaming and alert generation. Amazon KVS makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing.
The AI inferencing at the edge solution leverages eInfochips’ Camera Reference Design Kit (RDK), built on the Qualcomm QCS610 platform. The solution demonstrates eInfochips’ capabilities across camera design, edge AI, and IoT. It also showcases the premium high-performance Qualcomm QCS610 processor’s capabilities for delivering on-device edge AI for advanced applications, including smart kiosks, industrial IoT, AI surveillance cameras, AI edge appliances, and more.
“Global product and technology companies can leverage our solution to accelerate the development and prototyping of vision-based intelligent connected solutions. In addition to working with Qualcomm Technologies to help empower developers with cutting edge IoT solutions, eInfochips also helps companies implement accurate, highly scalable, reliable, and cost-efficient vision-based IoT solutions that leverage state-of-the-art infrastructure,” said Parag Mehta, chief business development officer at eInfochips.
Embedded World is an event to discover the innovations of the embedded sector and meet experts. The event offers the entire spectrum – from components, modules and complete systems to operating systems, hardware and software and services. The event will be conducted in person at Nuremberg, Germany between 21 – 23 June 2022.