Qualcomm Vision-Based Edge Computing Ecosystem Grows

Qualcomm Technologies has announced “broad ecosystem support” for the Qualcomm Vision Intelligence Platforms supporting edge computing centered on on-device camera processing and machine learning.

Qualcomm Vision Intelligence 400 and 300 platforms use purpose-built QCS605 and QCS603 systems on a chip  that include an integrated advanced image signal processor, the Qualcomm Artificial Intelligence (AI) Engine and a “heterogeneous compute architecture,” including ARM-based multicore Qualcomm Kryo CPU, Qualcomm Hexagon DSP with a vector accelerator and Qualcomm Adreno GPU, Qualcomm says.

Those chipsets are ideal for running machine learning and other edge compute use cases that require video processing and analytics support, with real-time stitching for simultaneous multi-video streams while running concurrent applications, Qualcomm says.

Android and Linux-based software platforms and advanced camera software development kits (SDKs) are supported.

Partners include Altek, AnyVision, Cisco Meraki, Hitron Systems, Intellivix, Intrinsyc Technologies, Linkflow, LITE-ON, Microsoft, Motorola Solutions, Owlcam, PathPartner Technology, Pilot AI, Poly, Qisda Presice Optics, Ricoh, Security and Safety Things, Thundercomm and VIVOTEK.