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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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“Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification,” a Presentation from Imagination Technologies
Ana Salazar, Senior Research Manager at Imagination Technologies, presents the “Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification” tutorial at the September 2020 Embedded Vision Summit. This talk explores the challenges of deploying serial computer vision tasks implemented with DNNs. Neural network accelerators… “Challenges and Approaches for Cascaded
The Battlefield of Cutting Edge Face Detectors
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Face detector is one of the most commonly used AI component today. Whether you are building a system to count the number of people in a room or a home security system that unlocks the door when
“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART
Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic… “Safer and More Efficient Intersections
“Deep Learning for Manufacturing Inspection: Case Studies,” a Presentation from FLIR Systems
Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection: Case Studies” tutorial at the September 2020 Embedded Vision Summit. Deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition… “Deep Learning for Manufacturing Inspection:
“Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models,” a Presentation from EJ Technology Consultants
Evan Juras, Computer Vision Engineer at EJ Technology Consultants, presents the “Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models” tutorial at the September 2020 Embedded Vision Summit. Data augmentation is a method of expanding deep learning training datasets by making various automated modifications to existing images… “Practical Image Data Augmentation Methods
Introducing Intel RealSense ID Facial Authentication
What’s New: Today, Intel introduced Intel® RealSense™ ID, an on-device solution that combines an active depth sensor with a specialized neural network designed to deliver secure, accurate and user-aware facial authentication. Intel RealSense ID works with smart locks, access control, point-of-sale, ATMs, kiosks and more. “Intel RealSense ID combines purpose-built hardware and software with a dedicated
New June Oven Designed with MediaTek’s i500 AIoT Platform Delivers a Smart Cooking Experience to Consumers
MediaTek’s i500 brings powerful computer vision, advanced multimedia and fast Wi-Fi to the third-generation June Oven HSINCHU, Taiwan – December 14, 2020 –MediaTek today announced that the company’s i500 AIoT chipset platform is the main processor inside the new June Oven, a twelve-in-one countertop convection oven. MediaTek’s i500 has a dedicated AI Processing Unit (APU)
OmniVision Announces World’s First Dedicated Driver Monitoring System ASIC With Integrated AI Neural Processing Unit, Image Signal Processor and DDR3 Memory
Optimized for Entry-Level DMS With Industry’s Lowest Power Consumption and Board Space for Processing Eye Gaze and Eye Tracking Algorithms; ASIC and Image Sensor, Combined, Consume Less Than 1 Watt SANTA CLARA, Calif. – Jan. 4, 2021 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced in advance of CES
“Driver Monitoring Systems: Present and Future,” a Presentation from XPERI
Petronel Bigioi, CTO for Imaging at XPERI, presents the “Driver Monitoring Systems: Present and Future” tutorial at the September 2020 Embedded Vision Summit. Monitoring drivers and passengers inside of vehicles is an increasingly critical capability. For example, driver monitoring is required in order for cars to obtain a top safety… “Driver Monitoring Systems: Present and
Face Mask Detection in Street Camera Video Streams Using AI: Behind the Curtain
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the new world of coronavirus, multidisciplinary efforts have been organized to slow the spread of the pandemic. The AI community has also been a part of these endeavors. In particular, developments for monitoring social distancing or identifying
