Hailo’s Hailo-8 AI Processor is the 2021 Edge AI and Vision Product of the Year Award Winner in the Edge AI Processors category. Empowered by its AI acceleration modules which ensure seamless connectivity to any edge device, Hailo’s AI chip is transforming visual intelligence for multiple industries, enabling smart devices to run neural network (NNs)-based […]
Simbe Robotics’ Tally 3.0 is the 2021 Edge AI and Vision Product of the Year Award Winner in the Enterprise Edge AI End Products category. Tally is the only robot on the market that combines computer vision, machine learning, and RFID technologies to audit store shelves across a range of retail environments. Tally detects misplaced,
MINIEYE’s In-cabin Sensing Solution is the 2021 Edge AI and Vision Product of the Year Award Winner in the Automotive Solutions category. MINIEYE’s In-cabin Sensing (I-CS) solution is dedicated to provide comprehensive in-vehicle sensing solutions for smart cockpit and autonomous vehicles, by leveraging embedded computer vision and artificial intelligence (AI) using infrared (IR) cameras. I-CS
BlinkAI Technologies’ Night Video is the 2021 Edge AI and Vision Product of the Year Award Winner in the Edge AI Software and Algorithms category. Night Video is the world’s first AI-based night video solution for smartphone and was recently commercialized on Xiaomi’s flagship Mi 11, as well as the upcoming Mi 11 Pro, Mi
Jeff Bier, Founder of the Edge AI and Vision Alliance, interviews Zhenbin Xu, CEO of Family Smart and Corporate Vice President at Seedland Group, about a new outdoor security product, Sentinel, which analyzes sound data using AI algorithms and can be integrated with surveillance cameras.
BDTI and its partners, Tryolabs S.A. and Jabil Optics, are delighted to announce MaskCam: an open-source smart camera prototype reference design based on the NVIDIA Jetson Nano capable of estimating the number and percentage of people wearing face masks in its field of view. MaskCam was developed as part of an independent, hands-on evaluation of
Toly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, presents the “Practical Guide to Implementing Deep Neural Network Inferencing at the Edge” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Kotlarsky explores practical aspects of implementing a pre-trained deep neural network (DNN) inference on typical edge processors. First,
Jeff Bier, Founder of the Edge AI and Vision Alliance, interviews Monique Jones, Senior Software Engineer Team Lead at Intel, about her company’s DevCloud for the Edge developer toolset. Bier and Jones compare and contrast a DevCloud-based development flow versus the traditional approach that leverages a development board located at the engineer’s desk and directly
“DevCloud for the Edge,” an Alliance Conversation with Intel Read More +
Pierre Cambou, Principal Analyst at Yole Développement, presents the “Market Trends in Automotive Perception: From Insect-Like to Human-Like Intelligence” tutorial at the September 2020 Embedded Vision Summit. Today there are two paths towards autonomous vehicles. Mass-market automobiles continue to add more sensors and more compute power to enable increasingly sophisticated ADAS functionality. Separately, developers of
Vini Jolly, Executive Director at Woodside Capital, presents the “Vision Opportunities in Healthcare” tutorial at the September 2020 Embedded Vision Summit. With advances in computer vision, AI/ML and data analytics, the pace of technological change continues to accelerate. Nowhere has the confluence of those technologies been more impactful than in Digital Health. Healthcare is an
“Opportunities for Vision in Healthcare,” a Presentation from Woodside Capital Read More +
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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