Sensors and Cameras

“Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision,” a Presentation from Motorola

Val Marchevsky, Senior Director of Engineering at Motorola, presents the "Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision" tutorial at the May 2017 Embedded Vision Summit. Once we began to rely on our phone cameras as the primary means of sharing memories, emotions and important events in our lives, the quality […]

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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

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“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

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“The Coming Shift from Image Sensors to Image Sensing,” a Presentation from LG

Paul Gallagher, Senior Director of Technology and Product Planning for LG, presents the "Coming Shift from Image Sensors to Image Sensing" tutorial at the May 2017 Embedded Vision Summit. The image sensor space is entering the fourth disruption in its evolution. The first three disruptions primarily focused on taking “pretty pictures” for human consumption, evaluation,

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“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

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“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

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“Another Set of Eyes: Machine Vision Automation Solutions for In Vitro Diagnostics,” a Presentation from Microscan Systems

Sadie Zeller, Manager of Global Product Management and the Clinical Vertical Market at Microscan Systems, presents the "Another Set of Eyes: Machine Vision Automation Solutions for In Vitro Diagnostics" tutorial at the May 2017 Embedded Vision Summit. In vitro diagnostics (IVD) are tests that can detect diseases, conditions, or infections. The use of automation, including

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“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

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“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

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“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

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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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