Videos

RealNetworks Demonstration of Integrating Offline Facial Recognition into Camera-Equipped Devices with SAFR

Rohan Gosain, Principal Product Manager at RealNetworks, delivers a product demonstration at the September 2019 Vision Industry and Technology Forum. Specifically, Gosain demonstrates the company’s SAFR facial recognition technology. SAFR provides computer vision SDKs that can deliver highly accurate (99.87% as measured by NIST) live video-based face recognition and tracking, demographics and sentiment analysis. These […]

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Platform.ai Demonstration of Building Computer Vision Models in Minutes

Jonathan Epstein, Chief Operating Officer at platform.ai, delivers a product demonstration at the September 2019 Vision Industry and Technology Forum. Specifically, Epstein demonstrates the company's deep learning network development platform. Platform.ai helps you achieve your vision faster. The platform.ai solution allows both AI experts and those that have never coded to rapidly classify and label

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FRAMOS Demonstration of Its D435e Industrial Depth Camera

Prashant Metha, Senior Field Application Engineer at FRAMS, delivers a product demonstration at the September 2019 Vision Industry and Technology Forum. Specifically, Metha demonstrates the company's D435e industrial depth camera, built with Intel RealSense Technology. The D435e delivers industrial-grade 3D vision for robotics, automated guided vehicles, and smart machines.

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Cadence Demonstration of Vision and AI Applications on Tensilica DSP-based Platforms

Amol Borkar, Senior Product Manager and Marketing of Vision and AI DSPs at Cadence, delivers a product demonstration at the September 2019 Vision Industry and Technology Forum. Specifically, Borkar first demonstrates attention-driven image tagging on the Dreamchip development platform, powered by four Tensilica® Vision P6 DSPs. This first demonstration showcases high throughput and accurate fixed-point

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“Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product,” a Presentation from Cocoon Health

Pavan Kumar, Co-founder and CTO of Cocoon Health (formerly Cocoon Cam), delivers the presentation “Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product” at the Embedded Vision Alliance’s September 2019 Vision Industry and Technology Forum. Kumar explains how his company is evolving its use of edge and cloud vision computing in continuing to bring new

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“Creating, Weaponizing, and Detecting Deep Fakes,” a Presentation from U.C. Berkeley

Shruti Agarwal, Ph.D. Candidate at U.C. Berkeley, delivers the presentation “Creating, Weaponizing, and Detecting Deep Fakes” at the Embedded Vision Alliance’s September 2019 Vision Industry and Technology Forum. Agarwal explains how to use computer vision to detect “deepfakes.”

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Prophesee Demonstration of Predictive Maintenance Capabilities with Event-Based Vibration Monitoring

Guillaume Butin, Chief Marketing Officer at Prophesee, demonstrates the company’s latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Butin demonstrates the company’s patented Event-Based Vision system, focusing on a new Vibration Monitoring capability for Industry 4.0. In this demonstration, Prophesee’s onboard reference system captures and computes – at the edge

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Prophesee Demonstration of Revealing the Invisible Between the Frames with Event-Based Technology

Guillaume Butin, Chief Marketing Officer at Prophesee, demonstrates the company’s latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Butin demonstrates the company’s patented Event-Based Vision system, focusing on one core differentiation point versus traditional sensors: the fact that it does not have a frame rate. Prophesee’s Event-Based sensor does not

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Prophesee Demonstration of Acquiring Actionable Information At the Pixel Level

Guillaume Butin, Chief Marketing Officer at Prophesee, demonstrates the company’s latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Butin demonstrates the company’s patented Event-Based Vision system, focusing on one core differentiation point versus traditional sensors: the data it generates. Prophesee’s Event-Based sensor does not generate frames at a pre-defined rhythm

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