Qualcomm Incorporated (NASDAQ:QCOM) today announced the launch of its Qualcomm® Vision Intelligence Platform through its subsidiary, Qualcomm Technologies, Inc., which features the company’s first advanced 10-nm FinFET process technology for the Internet of Things (IoT). System-on-a-chip (SoC) series. The QCS605 and QCS603 system-on-chips provide powerful computing power for camera processing and machine learning on the terminal side, while providing excellent power efficiency and thermal efficiency for a wide range of IoT applications. The two system-level chips integrate Qualcomm Technologies' most advanced image signal processor (ISP) and Qualcomm® artificial intelligence engine AIEngine, and heterogeneous computing architecture including ARM-based advanced multi-core CPU, vector processor and GPU. . The vision intelligence platform also includes Qualcomm Technologies' advanced camera processing software, machine learning and computer vision software development kit (SDK), and Qualcomm Technologies' reliable connectivity and security technologies. The platform offers exciting new possibilities for industrial and consumer smart security cameras, sports cameras, wearable cameras, virtual reality (VR) 360-degree and 180-degree cameras, robots and smart displays. KEDACOM and Ricoh THETA are planning to develop products based on the Qualcomm vision intelligence platform.
Joseph Bousaba, vice president of product management at Qualcomm Technologies, Inc., said: "By helping customers build powerful terminal-side intelligence, camera processing and security features, our goal is to make IoT terminals more intelligent. Artificial intelligence has supported the detection and tracking of objects. Cameras for classification, classification and facial recognition capabilities, robots for obstacle avoidance, and sports cameras that can learn and generate video summaries of your last expedition, but this is still just the beginning. Qualcomm's visual intelligence platform is our cutting edge research and development over the years. The results have brought together breakthroughs in the field of cameras, terminal-side artificial intelligence and heterogeneous computing. The platform is the preferred platform for manufacturers and developers to create a new smart Internet of Things terminal world."
Powerful Qualcomm AI Engine AIEngine
The visual intelligence platform integrates the Qualcomm artificial intelligence engine AIEngine, which is composed of multiple integrated hardware and software components to accelerate terminal-side artificial intelligence. The Qualcomm AI Engine AIEngine includes the Qualcomm® SnapdragonTM Neural Processing Engine (NPE) software framework, which includes analysis, optimization and debugging tools developed using the TensorFlow, Caffe and Caffe2 frameworks, the ONNX (OpenNeuralNetworkExchange) exchange format, and the AndroidNeuralNetworkAPI and Qualcomm® HexagonTM NeuralNetwork library. All of the above are designed to support developers and OEMs to easily connect training networks to this platform. Through the Qualcomm artificial intelligence engine AIEngine and the Snapdragon neural processing engine software framework, the visual intelligence platform can provide up to 2.1 trillion calculations per second (TOPS)* of computational performance for deep neural network reasoning, along with some other leading alternative solutions. The plan has more than doubled the improvement.
Excellent image quality
The visual intelligence platform can support up to 4K @ 60fps video, or 5.7K @ 30fps, and lower resolution multiple concurrent video streams. For exceptional image quality, the platform integrates the most powerful camera processor ever built by Qualcomm Technologies - a dual 14-bit Qualcomm Spectra 270 ISP that supports dual 16-megapixel sensors, and the evolution of its top-level ISP capabilities has been in the past generations Positioned in the leading position in the DxOMark benchmark. In addition, the vision intelligence platform includes the advanced visual processing functions necessary for the segmentation of the Internet of Things, such as staggered HDR, advanced electronic image stabilization, and distortion correction, which can prevent the "overlap" effect of high dynamic range video. Noise reduction, chromatic aberration correction, and hardware motion compensation temporal filtering (MCTF).
Heterogeneous computing architecture and key features
The visual intelligence platform QCS605 chipset's heterogeneous computing architecture integrates an eight-core Qualcomm® KryoTM 360 CPU, a Qualcomm® AdrenoTM 615 GPU, and a Hexagon 685 vector processor. The visual intelligence platform's integrated display processor provides hardware-accelerated compositing, 3D overlay, and leading graphics API support including OpenGL, OpenCL, and Vulkan for a range of display options, including touch screens up to WQHD resolution. The architecture supports a variety of advanced operating systems designed to help developers and manufacturers easily build differentiated features in their solutions, such as VR 360-degree camera-side content stitching, autonomous robot navigation and obstacle avoidance, and sports camera video Summary.
The vision intelligence platform supports 2x2802.11ac Wi-Fi®, Bluetooth® 5.1, Qualcomm® 3D audio suites, QualcommAqsticTM audio technology, and Qualcomm® aptXTM audio with MU-MIMO and dual-band concurrency features. The platform also features Qualcomm® noise suppression and echo cancellation technology, as well as advanced terminal-side audio analysis and processing features, support for natural language processing, audio speech recognition, and speech insertion, creating a reliable voice interface, even in noisy or noisy environments Or when the user is away from the terminal.
The platform's hardware-based security features support reliable Internet of Things terminals with the following features, including secure boot of hardware root, trusted execution environment, hardware encryption engine, storage security, debug security throughout the lifecycle control, key distribution And wireless protocol security and so on.
Ecosystem and listing situation
Manufacturers can rely on the ecosystem of technology vendors to accelerate development and further differentiate their products through the solutions they provide as a supplement to the visual intelligence platform. The above technology vendors include artificial intelligence companies such as SenseTime, which supports face, image and object recognition, Pilot.ai that supports various visual tasks such as motion and object detection, classification and tracking, and support for advanced image quality calibration services. MMSolutions and more.
Currently, the Qualcomm® QCS605 and QCS603 are sampling and include multiple SKUs to meet different technical and cost requirements. Qualcomm Technologies and QMD605-based VR 360-degree camera reference design provided by leading camera ODM manufacturer Huajing Technology are available now. The industrial-grade security camera reference design based on QCS603 is expected to be available in the second half of 2018.
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