Qualcomm Expands Ecosystem To Enable Next Gen Edge AI And Machine Learning For Cameras

OEMs, ODMs and Ecosystem Players Showcase Innovative Smart Cameras Using the Qualcomm Vision Intelligence Platform

APR 10, 2019

Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated (NASDAQ: QCOM), announced today at the International Security Conference & Exposition, broad ecosystem support for the Qualcomm®Vision Intelligence Platforms. Leading OEMs, ODMs and ecosystem collaborators have integrated the platforms to deliver powerful computing for edge and on-device camera processing and machine learning, with exceptional thermal efficiency, across a wide range of IoT applications.

“Leveraging the power and security of our application processor technology, we are bringing our platform solutions together with a broad base of customers and building a camera ecosystem to drive the exciting evolution of connected, intelligent cameras,” said Jeffery Torrance, vice president, business development, Qualcomm Technologies, Inc. “Today’s cameras require superior connectivity and interoperability, powerful heterogeneous computing and AI capability and protections for security and privacy – all of which Qualcomm Technologies is uniquely suited to provide. New applications for vision intelligence are popping up almost daily, and we now have the ecosystem in place to make it easy for customers to bring differentiated technology to fruition more rapidly, with products that will further fuel the invention age in IoT.”

For AI and machine learning uses such as tracking, identification and classification of people, objects, and sounds the Qualcomm Vision Intelligence 400 & 300 Platforms use the latest purpose-built QCS605 and QCS603 SoCs that include:

  • Integrated advanced image signal processor (ISP) and the Qualcomm®Artificial Intelligence (AI) Engine
  • Heterogeneous compute architecture, including a cutting-edge ARM-based multicore Qualcomm® Kryo™ CPU, Qualcomm® Hexagon™ DSP with a vector accelerator and Qualcomm® Adreno™ GPU.

These 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.

The platform series also integrates proven connectivity, superior audio and hardware-based security to support the development of IoT devices with advanced security features and includes:

  • Android™ and Linux-based software platforms and advanced camera software development kits (SDKs) are optimized to support exciting new possibilities for enterprise, industrial, and consumer applications

“We are really just scratching the surface, and the variety of applications and possibilities are enormous, including smart security cameras, sports cameras, wearable and body cameras, robotics, inventory management, smart displays, dash cams and many more,” continued Torrance.

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