Brian Dipert

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Cloud and Edge Vision Processing Options for Deep Learning Inference

Articles, Imagination Technologies, Technical Articles /

Should deep learning-based computer vision processing take place in the cloud, at the edge, or both? This seemingly simple question has a complicated answer: "it depends." This article provides perspectives on the various factors you should consider, and with what priorities, when making this implementation decision for your particular project's requirements. THe Edge-Centric Inference Evolution […]

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New Embedded Vision Systems with Quad-core Processors

News, Vision Components /

October 30, 2019 – Vision Components premiered the first prototype of its latest generation of embedded vision systems offering a substantial performance boost at Embedded VISION Europe in Stuttgart, Germany, on October 24, 2019. The onboard quad-core processor, Qualcomm's Snapdragon 410, is clocked at 1.2 GHz. The board camera features a Gbit Ethernet interface, 12

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Horizon Robotics Demonstration of the Company’s Localization and Mapping Technology

Horizon Robotics, Summit 2019, Videos /

George Totolos, business development manager at Horizon Robotics, delivers a product demonstration at the May 2019 Embedded Vision Summit. Totolos showcases Horizon's localization and mapping technology running on top of a Horizon Matrix 1.7 system. Totolos explains that Navnet works while requiring only a mono camera and is generating a point cloud map without the

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Horizon Robotics Demonstration of the Matrix Perception Platform

Horizon Robotics, Summit 2019, Videos /

George Totolos, business development manager at Horizon Robotics, delivers a product demonstration at the May 2019 Embedded Vision Summit. Totolos showcases Horizon's Matrix perception platform, winner of an Embedded Vision Alliance Vision Product of the Year award. The Matrix is a turnkey detection and classification solution using an FPGA-based implementation of Horizon's proprietary hardware in

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“Quantizing Deep Networks for Efficient Inference at the Edge,” a Presentation from Facebook

Algorithms & Models, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

Raghuraman Krishnamoorthi, Software Engineer at Facebook, delivers the presentation “Quantizing Deep Networks for Efficient Inference at the Edge” at the Embedded Vision Alliance’s September 2019 Vision Industry and Technology Forum. Krishnamoorthi gives an overview of practical deep neural network quantization techniques and tools.

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Prophesee Closes $28M in Funding

News, Prophesee /

PARIS – October 28, 2019 – Prophesee SA, inventor of the world’s most advanced neuromorphic vision system, today announced it has closed $28 million in funding, bringing its total funding to date to $68 million. Led by the European Investment Bank, the round also includes staged investments from commercial backers, including Prophesee’s existing investors such

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MediaTek Demonstration of Video Object Detection

MediaTek, Summit 2019, Videos /

Victor Tyan, Deputy Director at MediaTek, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Tyan demonstrates how MediaTek's mass-market AI image processor, the MT8167, and its higher end variant, the MT8385, can run video object detection. The edge inference is made possible with these processors. Therefore, applications such as security and

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MediaTek Demonstration of AI Human Pose Tracking

MediaTek, Summit 2019, Videos /

Victor Tyan, Deputy Director at MediaTek, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Tyan demonstrates how MediaTek's latest AI smartphone processor, the Helio P90, can run complicated human pose tracking without a stereo camera, extracting depth information purely based on the understanding of human body in terms of where limbs

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Robotic Materials Demonstration of Its All-in-one Embedded Intelligence for Robotic Manipulation

Edge AI and Vision Alliance, Summit 2019, Videos /

Austin Miller, lead engineer at Robotic Materials, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Miller demonstrates the company's recent SmartHand product, a robotic gripper with embedded 3D perception, computation, and a complete programming environment. Accessible by any Wi-Fi-enabled tablet or computer, the hand can be programmed

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BlinkAI Technologies Demonstration of Machine Learning Low-Light Enhancement

BlinkAI Technologies, Summit 2019, Videos /

Bo Zhu, CTO and Co-founder of BlinkAI Technologies, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Zhu demonstrates the company's real-time low-light video enhancement technology, which can be deployed on low-power embedded systems in smartphone, automotive, and security/surveillance industries. He then presents a sequence of videos showcasing this enhancement in various

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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