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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.
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“Using Computer Vision and Machine Learning to Understand Pet Behavior,” a Presentation from PetCube
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.
“Using Vision to Collect Rich Data in the Moment of Truth for Retail Analytics and Market Research,” a Presentation from GfK
Dr. Anja Dieckmann of GfK Verein and Markus Iwanczok of GfK SE deliver the presentation "Using Vision to Collect Rich Data in the Moment of Truth for Retail Analytics and Market Research" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In their presentation, Dieckmann and Iwanczok cover the following topics: Market
“The Evolution of Depth Sensing: From Exotic to Ubiquitous,” a Presentation from 8tree
Erik Klaas of 8tree delivers the presentation "The Evolution of Depth Sensing: From Exotic to Ubiquitous" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Klaas covers the following topics: Why is metrology important? Categorization of common methodologies for dimensional measurements Examples and applications of image-based dimensional measurement Market
Stereo Vision: Facing the Challenges and Seeing the Opportunities for ADAS Applications
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
“End to End Fire Detection Deep Neural Network Platform,” a Presentation from Tyco Innovation
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
“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo
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
“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo
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
“Using Markerless Motion Capture to Win Baseball Games,” a Presentation from KinaTrax
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
“How 3D Maps Will Change the World,” a Presentation from Augmented Pixels
Vitaliy Goncharuk, CEO and Founder of Augmented Pixels, presents the "How 3D Maps Will Change the World" tutorial at the May 2017 Embedded Vision Summit. In the very near future, cars, robots, mobile phones and augmented reality glasses will incorporate inexpensive and efficient depth sensing. This will quickly bring us to a new world in
“Designing a Vision-based, Solar-powered Rear Collision Warning System,” a Presentation from Pearl Automation
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
