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 […]
Matthew Chiu, Founder of Almond AI, presents the "Designing CNN Algorithms for Real-time Applications" tutorial at the May 2017 Embedded Vision Summit. The real-time performance of CNN-based applications can be improved several-fold by making smart decisions at each step of the design process – from the selection of the machine learning framework and libraries used
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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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BrainChip raises A$21.5 million in an oversubscribed share placement. Placement was supported by a large number of institutions. Funds raised will allow BrainChip to accelerate its commercialization strategy and to further develop its existing video analytics products and its planned AKIDA™ Neuromorphic Processor Unit. San Francisco – 31 October, 2017 BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX: BRN), a
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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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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 Read More +
This article was originally published at IDS Imaging's website. It is reprinted here with the permission of IDS Imaging. Besides 3D and robot vision, embedded vision is one of the latest hot topics in machine vision. This is because without real-time machine vision, there would be no such thing as autonomous transport systems and robots
Adham Ghazali, co-founder and CEO of Imagry, presents the "Edge Intelligence: Visual Reinforcement Learning for Mobile Devices" tutorial at the May 2017 Embedded Vision Summit. Real-life visual data encompasses a tremendous amount of information and presents a huge challenge for the design and development of a perceptual engine. Smart machines equipped with visual understanding technology
Inspector Jean-Francois Lespes, Chief of the Indictable Offense Department at the Toulouse National Police, will be sharing use cases of BrainChip technology. BrainChip will be co-exhibiting with Rockwell Collins, which uses BrainChip’s technology in its Perimeter Surveillance Radar system. San Francisco – 26 October 2017: BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX:BRN), a leading
San Francisco – 24 October 2017 – BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX:BRN), a leading developer of software and hardware accelerated solutions for advanced artificial intelligence (AI) and machine learning applications, today announced that it has shipped its first BrainChip Accelerator card to a major European automobile manufacturer. As the first commercial implementation
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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