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Practical AI and computer vision technology is being developed for systems that span virtually every application, and many of these application areas will experience huge growth rates. With trendsetting products demonstrating what is possible, system designers have discovered that the suppliers of computer vision technology have removed the barriers to building practical computer vision systems—unleashing a huge wave of innovation for new products and applications.
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SPIE Photonics West: Stamp-sized Embedded Vision System
February 11, 2021 – Vision Components presents what is probably the world’s smallest embedded vision system: VC picoSmart is hardly bigger than an image sensor module and one of the innovations at the 2021 Photonics West Digital Forum (March 6–11). The board with a miniature footprint of only 22 mm x 23.5 mm contains not
“Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild,” a Presentation from Skydio
Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild” tutorial at the September 2020 Embedded Vision Summit. Skydio ships autonomous robots that are flown at scale in complex, unknown environments every day to capture incredible video, automate dangerous inspections and… “Tackling Extreme Visual Conditions for
Vision Components Presents the Smallest Embedded Vision System at Embedded World
February 10, 2021 – Probably the world’s smallest embedded vision system – fully integrated in one board and hardly bigger than an image sensor module: VC picoSmart from Vision Components will premiere at embedded world 2021 DIGITAL (March 1–5). Only 22 mm x 23.5 mm in size, this board camera yet contains all components necessary
“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Skydio
Gareth Cross, Technical Lead for State Estimation at Skydio, presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the September 2020 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross provides foundational knowledge; viewers are not expected to have… “Introduction to Simultaneous Localization and
Accelerating AI-Defined Cars
Convergence of Edge Computing, Machine Vision and 5G-Connected Vehicles Today’s societies are becoming ever more multimedia-centric, data-dependent, and automated. Autonomous systems are hitting our roads, oceans, and air space. Automation, analysis, and intelligence is moving beyond humans to “machine-specific” applications. Computer vision and video for machines will play a significant role in our future digital
“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland
Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking” tutorial at the September 2020 Embedded Vision Summit. The recent COVID-19 outbreak necessitated monitoring in communities such as tracking of quarantined residents and tracking of close-contact interactions with sick… “Multi-modal Re-identification: IOT + Computer
The Rise and Fall of the ADAS Promise Now Disrupted by AVs
This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. Advanced driver assistance systems (ADAS) have been developed for more than ten years now, in pursuit of increased safety in the world of automobiles. Combining a set of sensors, mostly radars and cameras combined
Free Webinar Explores Camera ISP Optimization For Improved Computer Vision Accuracy
On March 30, 2021 at 9 am PT (noon ET), Marc Courtemanche, Product Architect at Algolux, will present the free half-hour webinar “Optimizing a Camera ISP to Automatically Improve Computer Vision Accuracy,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Cameras are the most ubiquitous sensor used
Lattice FPGAs Power Real-Time Radar Adapter Cards
This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. If you were to ask them (and I have), you would discover that many people think of radar in the context of things like airplanes and ships and the evening weather forecast on TV. As
“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung
Jake Lee, Principal Engineer and Head of the Machine Learning Group at Samsung, presents the “Image-Based Deep Learning for Manufacturing Fault Condition Detection” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Lee explores applying deep learning to analyzing manufacturing parameter data to detect fault conditions. The manufacturing… “Image-Based Deep Learning for Manufacturing
