Thanks for visiting Imaging and Machine Vision Europe.

You're trying to access an editorial feature that is only available to logged in, registered users of Imaging and Machine Vision Europe. Registering is completely free, so why not sign up with us?

By registering, as well as being able to browse all content on the site without further interruption, you'll also have the option to receive our magazine (multiple times a year) and our email newsletters.

Qualcomm launches SoCs for embedded vision

Share this on social media:

Computing company Qualcomm Technologies has released a family of system-on-chips (SoCs) built for devices incorporating vision technology.

The Vision Intelligence Platform is designed for industrial and consumer smart security cameras, sports cameras, wearable devices, virtual reality, robotics, and smart displays, among other applications.

The QCS605 and QCS603 SoCs integrate an image signal processor (ISP), Qualcomm’s Artificial Intelligence (AI) Engine, an Arm-based multicore CPU, vector processor, and GPU. The platform also includes advanced camera processing software, machine learning and computer vision software development kits.

Qualcomm’s processors are typically found in mobile devices, but the company has recently released its Snapdragon 820 board, which will have availability and support until 2025 specifically to cater for the industrial market.

The new platform targets embedded vision IoT applications, which is a growing area both inside and outside the factory.

Joseph Bousaba, vice president, product management at Qualcomm Technologies, commented: ‘The Qualcomm Vision Intelligence Platform is the culmination of years of advanced research and development that brings together breakthrough advancements in camera, on-device AI and heterogeneous computing. The platform is a premier launch pad for manufacturers and developers to create a new world of intelligent IoT devices.’

The Vision Intelligence Platform integrates the Qualcomm AI Engine, which is comprised of several hardware and software components integrated to accelerate on-device AI. The AI Engine includes the Qualcomm Snapdragon Neural Processing Engine (NPE) software framework with analysis, optimisation, and debugging tools for developments using Tensorflow, Caffe and Caffe2 frameworks, Open Neural Network Exchange interchange format, as well as Android Neural Networks API and Qualcomm Hexagon neural network library – all of which are designed to allow developers and OEMs to port trained networks into the platform.

The new platform delivers up to 2.1 trillion operations per second of compute performance for deep neural network inferences. It supports up to 4K video resolution at 60 frames per second, or 5.7K at 30fps, as well as multiple concurrent video streams at lower resolutions.

The platform integrates a dual 14-bit Qualcomm Spectra 270 ISP, supporting dual 16 megapixel sensors. It also includes advanced vision processing capabilities necessary for IoT segments such as staggered HDR, electronic image stabilisation, de-warp, de-noise, chromatic aberration correction, and motion compensated temporal filters in hardware.

Company: 

Related news

Michał Czardybon (left), Adaptive Vision CEO, and Zbigniew Kawalec, QZ Solutions CEO

06 March 2020

Recent News

19 May 2020

The National Institute of Standards and Technology and ASTM Committee E57 have released proceedings on a workshop to define the performance of 3D imaging systems for robots in manufacturing

12 May 2020

The sensors boast a pixel pitch of 5μm thanks to Sony's stacking technology using a copper-to-copper connection. They also deliver high quantum efficiency even in the visible range

06 April 2020

Zensors' algorithms analyse feeds from CCTV cameras to provide real-time data on the number of people in an area and whether safe distances are maintained between them

02 April 2020

Research at MIT and Toho University in Japan, using high-speed imaging, has shown how aerosols from a sneeze and from speech can travel in the air