International. Qualcomm Technologies announced the expansion of its ecosystem for Qualcomm's Vision Intelligence platforms. Original Equipment Manufacturers (OEMs), ODMs and ecosystem partners have integrated the platforms to deliver powerful computing for on-device and edge 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 uniting our platform solutions with a broad customer base and building a camera ecosystem to drive the exciting evolution of connected and intelligent cameras," said Jeffery Torrance, vice president of 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 specially designed to provide. "New applications for vision intelligence are popping up almost daily, and we now have the ecosystem in place to make it easier for customers to realize differentiated technology more quickly, with products that will further drive the era of Invention in IoT."
For AI and machine learning applications, such as tracking, identifying, and classifying people, objects, and sounds, the Qualcomm Vision Intelligence 400 and 300 platforms use the latest QCS605 and QCS603 SoCs, including:
Integrated Advanced Image Signal Processor (ISP) and Qualcomm's Artificial Intelligence (AI) Engine
Heterogeneous computing architecture, including a state-of-the-art 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 computing use cases that require video processing and analytical support, with real-time stitching for simultaneous multiple 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 business, industrial, and consumer applications.
"We're really just scratching the surface, and the variety of applications and possibilities are huge, including smart security cameras, sports cameras, wearable and body cameras, robotics, inventory management, smart displays, dash cams, and much more," Torrance continued.
