The key components of the 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, says the company, makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing.
The solution leverages the company’s Camera Reference Design Kit (RDK), built on the Qualcomm QCS610 platform. The solution, says the company, demonstrates its 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,” says Parag Mehta, chief business development officer at eInfochips. “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.”