Object Identification

Data Sets for Machine Learning Model Training

AImotive, Algorithms, Articles, BDTI, Edge AI and Vision Alliance, iMerit, LUXOFT, Object Identification, Processors, Software, Technical Articles, Tools /

Deep learning and other machine learning techniques have rapidly become a transformative force in computer vision. Compared to conventional computer vision techniques, machine learning algorithms deliver superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence, […]

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“Using Computer Vision and Machine Learning to Understand Pet Behavior,” a Presentation from PetCube

Algorithms, Edge AI and Vision Alliance, Entertainment, Object Identification, Object Tracking, Security, Sensors and Cameras, Videos /

Alex Neskin, founder and CTO of PetCube, delivers the presentation "Using Computer Vision and Machine Learning to Understand Pet Behavior" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Neskin explains how his start-up is using vision and AI to improve the lives of pets and their owners.

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Stereo Vision: Facing the Challenges and Seeing the Opportunities for ADAS Applications

Algorithms, Articles, Automotive, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Technical Articles, Texas Instruments, Tools /

This technical article was originally published on Texas Instruments' website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cameras are the most precise mechanisms used to capture accurate data at high resolution. Like human eyes, cameras capture the resolution, minutiae and vividness of a scene with such beautiful detail that no

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“End to End Fire Detection Deep Neural Network Platform,” a Presentation from Tyco Innovation

Algorithms, Edge AI and Vision Alliance, Object Identification, Processors, Security, Sensors and Cameras, Software, Tools, Videos /

Divya Jain, Technical Director at Tyco Innovation, presents the "End to End Fire Detection Deep Neural Network Platform" tutorial at the May 2017 Embedded Vision Summit. This presentation dives deep into a real-world problem of fire detection to see what it takes to build a complete solution using CNNs. Fire is specifically challenging because it

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Software, Tools, Videos /

Nik Gagvani, Founder and President of CheckVideo, presents the "Intelligent Video Surveillance: Are We There Yet?" tutorial at the May 2017 Embedded Vision Summit. The video surveillance market has been an early adopter of computer vision technology. After more than a decade of experience with deployed systems, what have we learned? This talk covers the

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Software, Tools, Videos /

Nik Gagvani, Founder and President of CheckVideo, presents the "Intelligent Video Surveillance: Are We There Yet?" tutorial at the May 2017 Embedded Vision Summit. The video surveillance market has been an early adopter of computer vision technology. After more than a decade of experience with deployed systems, what have we learned? This talk covers the

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“Using Markerless Motion Capture to Win Baseball Games,” a Presentation from KinaTrax

Algorithms, Edge AI and Vision Alliance, Entertainment, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Tools, Videos /

Steven Cadavid, President of KinaTrax, presents the "Using Markerless Motion Capture to Win Baseball Games" tutorial at the May 2017 Embedded Vision Summit. KinaTrax develops a markerless motion capture system that computes the kinematic data of an in-game baseball pitch. The system is installed in several Major League Baseball ballparks including Wrigley Field, home of

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“Designing a Vision-based, Solar-powered Rear Collision Warning System,” a Presentation from Pearl Automation

Algorithms, Automotive, Edge AI and Vision Alliance, Object Identification, Processors, Sensors and Cameras, Software, Tools, Videos /

Aman Sikka, Vision System Architect at Pearl Automation, presents the "Designing a Vision-based, Solar-powered Rear Collision Warning System" tutorial at the May 2017 Embedded Vision Summit. Bringing vision algorithms into mass production requires carefully balancing trade-offs between accuracy, performance, usability, and system resources. In this talk, Sikka describes the vision algorithms along with the system

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“Designing a Stereo IP Camera From Scratch,” a Presentation from ELVEES

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Software, Tools, Videos /

Anton Leontiev, Embedded Software Architect at ELVEES, JSC, presents the "Designing a Stereo IP Camera From Scratch" tutorial at the May 2017 Embedded Vision Summit. As the number of cameras in an intelligent video surveillance system increases, server processing of the video quickly becomes a bottleneck. On the other hand, when computer vision algorithms are

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“Vision Challenges in a Robotic Power Tool,” a Presentation from Shaper Tools

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Tools, Videos /

Alec Rivers, co-founder of Shaper Tools, presents the "Vision Challenges in a Robotic Power Tool" tutorial at the May 2017 Embedded Vision Summit. Shaper Tools has developed a first-of-its-kind robotic power tool enabled by embedded vision. Vision is used to track the tool's orientation in 3D at 100 Hz to an accuracy of 0.01 inches

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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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