APPLICATIONS

The Guide to Machine Learning in Retail: Applications and Use Cases

Articles, Retail, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction Artificial intelligence (AI) and machine learning (ML) are among the top technology trends in the retail world. They are having a great impact on the industry, in particular in e-commerce companies that rely on online sales, where […]

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Robotic Components: The Building Blocks of Robotic Life

Market Analysis, Robotics /

This market research report was originally published at Tractica’s website. It is reprinted here with the permission of Tractica. Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a

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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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“Vision Opportunities in Healthcare,” a Presentation from Woodside Capital Partners

Edge AI and Vision Alliance, Market Analysis, Medical, Videos /

Rudy Burger, Managing Partner, and Vini Jolly, Executive Director, both of Woodside Capital Partners, deliver the presentation “Vision Opportunities in Healthcare” at the Embedded Vision Alliance’s December 2019 Vision Industry and Technology Forum. Burger and Jolly outline trends and opportunities in computer vision for healthcare applications.

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A Guide to Video Analytics: Applications and Opportunities

Algorithms & Models, Articles, Information Access and Analytics, Technical Articles, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction In the past few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Thanks to the enormous advances made in deep learning,

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IEEE to Define a Formal Model for Safe Automated Vehicle Decision-Making

Automotive, Intel, News /

What’s New: The Institute of Electrical and Electronics Engineers (IEEE) has approved a proposal to develop a standard for safety considerations in automated vehicle (AV) decision-making and named Intel Senior Principal Engineer Jack Weast to lead the workgroup. Participation in the workgroup is open to companies across the AV industry, and Weast hopes for broad

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

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

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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“Machine Learning at the Edge in Smart Factories Using TI Sitara Processors,” a Presentation from Texas Instruments

Algorithms & Models, Industrial Vision (Computer Vision), Processors, Sensors and Cameras, Software, Summit 2019, Texas Instruments, Tools, Videos /

Manisha Agrawal, Software Applications Engineer at Texas Instruments, presents the “Machine Learning at the Edge in Smart Factories Using TI Sitara Processors” tutorial at the May 2019 Embedded Vision Summit. Whether it’s called “Industry 4.0,” “industrial internet of things” (IIOT) or “smart factories,” a fundamental shift is underway in manufacturing: factories are becoming smarter. This

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“Improving the Safety and Performance of Automated Vehicles Through Precision Localization,” a Presentation from VSI Labs

Algorithms & Models, Automotive, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Phil Magney, founder of VSI Labs, presents the “Improving the Safety and Performance of Automated Vehicles Through Precision Localization” tutorial at the May 2019 Embedded Vision Summit. How does a self-driving car know where it is? Magney explains how autonomous vehicles localize themselves against their surroundings through the use of a variety of sensors along

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“Distance Estimation Solutions for ADAS and Automated Driving,” a Presentation from AImotive

AImotive, Algorithms & Models, Automotive, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Gergely Debreczeni, Chief Scientist at AImotive, presents the “Distance Estimation Solutions for ADAS and Automated Driving” tutorial at the May 2019 Embedded Vision Summit. Distance estimation is at the heart of automotive driver assistance systems (ADAS) and automated driving (AD). Simply stated, safe operation of vehicles requires robust distance estimation. Many different types of sensors

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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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