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Instead of continuing to repurpose existing processors for smart home devices, Qualcomm has unveiled two new chipsets built specifically for IoT gadgets. The QCS605 and QCS603 are 10nm system-on-chips (SoCs) that will power things like 360-degree cameras, robot vacuums and smart displays from companies like Ricoh Theta and Kedacom. Qualcomm also launched a Vision Intelligence Platform today that provides frameworks like the company’s AI Engine, and the Snapdragon Neural Processing Engine (NPE) to enhance on-device machine learning. It’ll also offer SDKs for camera processing and computer vision so that companies who buy these processors can more easily create applications for their products.
The QCS605 and QCS603 feature ARM-based multicore CPUs, an Adreno GPU, the company’s Spectra image signal processor and a Hexagon vector processor. Some of the uses that the Vision Intelligence Platform will support include object detection, tracking, obstacle avoidance and facial recognition.
These SoCs focus on three applications in particular: artificial intelligence, camera processing and power efficiency. In addition to tapping Qualcomm’s own engines for AI and neural processing, manufacturers can also use frameworks like Tensorflow, Caffe and Caffe2, as well as the Open Neural Network Exchange format.
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