Security

Face Mask Detection in Street Camera Video Streams Using AI: Behind the Curtain

Articles, Object Identification, Security, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the new world of coronavirus, multidisciplinary efforts have been organized to slow the spread of the pandemic. The AI community has also been a part of these endeavors. In particular, developments for monitoring social distancing or identifying […]

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Video Analytics Solutions Are Driven by the Need for Safety and Security, With Global Revenue Reaching $4.5 Billion in 2025

Information Access and Analytics, Market Analysis, Security /

The Rise of Artificial Intelligence Has Been Instrumental in Drastically Raising Accuracy Levels to Meet Market Demands The world of computer vision has evolved rapidly in recent years, and computers are now more accurate than humans in some application areas. A new application of computer vision called video analytics (VA) has emerged. VA deals with

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“Designing Home Monitoring Cameras for Scale,” a Presentation from Ring

Algorithms, Edge AI and Vision Alliance, Face Detection, Face Recognition, Privacy, Processors, Security, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Ilya Brailovskiy, Principal Engineer, and Changsoo Jeong, Head of Algorithm, both of Ring, present the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit. In this talk, Brailovskiy and Jeong discuss how Ring designs smart home video cameras to make neighborhoods safer. In particular, they focus on three key

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“Visual AI Enables Autonomous Security,” an Interview with Knightscope

Algorithms, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Optical Character Recognition, Processors, Robotics, Security, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

William “Bill” Santana Li, Co-founder, Chairman and CEO of Knightscope, talks with Vin Ratford, Executive Director of the Embedded Vision Alliance, for the “Visual AI Enables Autonomous Security” interview at the May 2019 Embedded Vision Summit. Knightscope, a physical security technologies company based in Silicon Valley, develops and sells a line of autonomous robots that

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May 2019 Embedded Vision Summit Slides

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Biometrics, Downloads, Edge AI and Vision Alliance, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Sensors and Cameras, Software, Summit 2019, Tools /

The Embedded Vision Summit was held on May 20-23, 2019 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2019 Embedded Vision Summit

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Using Calibration to Translate Video Data to the Real World

Algorithms, Articles, NVIDIA, Processors, Security, Sensors and Cameras, Software, Technical Articles, Tools /

This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. DeepStream SDK 3.0 is about seeing beyond pixels. DeepStream exists to make it easier for you to go from raw video data to metadata that can be analyzed for actionable insights. Calibration is a key step in this

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“Embedded AI for Smart Cities and Retail in China,” a Presentation from Horizon Robotics

Algorithms, Horizon Robotics, Processors, Retail, Security, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Yufeng Zhang, VP of Global Business at Horizon Robotics, presents the “Embedded AI for Smart Cities and Retail in China,” tutorial at the May 2018 Embedded Vision Summit. Over the past ten years, online shopping has changed the way we do business. Now, with the development of AI technology, we are seeing the beginning of

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“Leveraging Cloud Computer Vision for a Real-time Consumer Product,” a Presentation from Cocoon Cam

Algorithms, Edge AI and Vision Alliance, Processors, Security, Software, Summit 2018, Tools, Videos /

Pavan Kumar, Co-founder and CTO at Cocoon Cam, presents the "Leveraging Cloud Computer Vision for a Real-time Consumer Product" tutorial at the May 2018 Embedded Vision Summit. The capabilities of cloud computing are expanding rapidly. At the same time, cloud computing costs are falling. This makes it increasingly attractive to implement computer vision in the

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“Architecting a Smart Home Monitoring System with Millions of Cameras,” a Presentation from Comcast

Algorithms, Edge AI and Vision Alliance, Processors, Security, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Hongcheng Wang, Senior Manager of Technical R&D at Comcast, presents the “Architecting a Smart Home Monitoring System with Millions of Cameras” tutorial at the May 2018 Embedded Vision Summit. Video monitoring is a critical capability for the smart home. With millions of cameras streaming to the cloud, efficient and scalable video analytics becomes essential. To

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“Developing Computer Vision Algorithms for Networked Cameras,” a Presentation from Intel

Algorithms, Intel, Processors, Security, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Dukhwan Kim, computer vision software architect at Intel, presents the “Developing Computer Vision Algorithms for Networked Cameras” tutorial at the May 2018 Embedded Vision Summit. Video analytics is one of the key elements in network cameras. Computer vision capabilities such as pedestrian detection, face detection and recognition and object detection and tracking are necessary for

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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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