Videos

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

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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MediaTek Demonstration of Video Object Detection

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

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

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

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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Entropix Demonstration of Its Patented Technology Delivering Better Vision for Computer Vision

Nathan Wheeler, CEO and Co-Founder at Entropix, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Wheeler explains how the company’s patented and potent computer vision products combine deep learning and modern AI software with low-cost dual-sensor cameras to extract extreme levels of detail from video and still

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Strayos Demonstration of Its 3D Visual AI Platform for the Mining Industry

Ravi Sahu, Founder and CEO of Strayos, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Sahu demonstrates how Strayos' 3D computer vision data processing and machine learning platform helps the mining industry optimize drilling and blasting operations. He also showcases how a 3D visual model can be integrated with geological data

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Crossbar Demonstration of How XPU Enables Deep Learning Training at the Edge

Sylvain Dubois, Vice President of Business Development and Marketing at Crossbar, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Dubois demonstrates how Crossbar XPU enables learning at the edge capabilities. He also showcases how a new object can be learned and immediately recognized by the SCAiLE reference

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Crossbar Demonstration of Live Video Face Matching Against a Celebrity Photo Database

Sylvain Dubois, Vice President of Business Development and Marketing at Crossbar, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Dubois demonstrates how near-memory computing can significantly improve the overall performance of neural network hardware accelerators. He also showcases how resistive RAM (ReRAM), designed for parallel computing, is

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Crossbar Neural Network Benchmark of XPU Versus a Quad-core Arm Cortex-A53 Processor

Sylvain Dubois, Vice President of Business Development and Marketing at Crossbar, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Dubois demonstrates how near-memory computing can significantly improve the overall performance of neural network hardware accelerators. He also showcases how resistive RAM (ReRAM), designed for parallel computing, is

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