Last week, José Alvarez of Xilinx (whose recently published tutorial video I hope many of you have already auditioned) emailed me a heads-up on an online article titled "Make Computers See with SimpleCV — The Open Source Framework for Vision". Authored by Anthony Oliver, Chief Technology Officer at Ingenuitas, the writeup definitely piqued my interest. […]
SimpleCV: Is An “OpenCV For The Masses” Necessary? Read More +
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The automotive industry has undergone a profound transformation over the years, with technological advancements driving innovation at an unprecedented pace. One of the most influential technologies shaping the future of vehicles is Artificial Intelligence. AI’s integration into
The Impact of AI On the Automotive Industry Read More +
The Alliance provides a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind. Learn about the latest vision, AI and deep learning technologies, standards, market research and applications – and how to get involved in the community.
Programs – Webinars Read More +
This blog post was originally published at eInfochips’ website. It is reprinted here with the permission of eInfochips. Over the past several years, with strong advances in technology, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become available in highly compact chipsets. These chipsets have been adopted across vision solutions including low power wearable
Developing and Deploying Vision-based Multi-camera Solutions Read More +
LETTER FROM THE EDITOR Dear Colleague, Next Thursday, October 17, 2024 at 9 am PT, SiMa.ai will present the free webinar “Delivering High Performance, Low Power Complete Edge AI Applications with the SiMa.ai One Platform MLSoC and Toolset” in partnership with the Edge AI and Vision Alliance. SiMa.ai has redefined AI at the edge. With
Edge AI and Vision Insights: October 9, 2024 Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning process to enhance system accuracy in the first part and second part. NVIDIA Metropolis
Simplifying Camera Calibration to Enhance AI-powered Multi-Camera Tracking Read More +
Kevin Camera, Vice President of Product for Lumotive, demonstrates the company’s latest edge AI and vision technologies and products in Lattice Semiconductor’s booth at the 2024 Embedded Vision Summit. Specifically, Camera demonstrates a sensor hub for concurrently fusing together and processing data from multiple sources: Velodyne’s VLP-16 LiDAR, Lumotive’s M30 solid state LiDAR, Texas Instruments’
Lumotive Demonstration of a Sensor Hub for LiDAR, Radar and Camera Fusion Read More +
Welcome to the May 2024 Embedded Vision Summit Replay page, a compilation of all to-date published content from the 2024 Summit! Please revisit this page in the coming months as additional 2024 Summit content is published and added here. Jump to Section Main Menu Overview Main Menu Business Insights Main Menu Enabling Technologies Main Menu
May 2024 Embedded Vision Summit Replay Read More +
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. In the realm of smart edge devices, signal processing and AI inferencing are intertwined. Sensing can require intense computation to filter out the most significant data for inferencing. Algorithms for simultaneous localization and mapping (SLAM), a type
Oriented FAST and Rotated BRIEF (ORB) Feature Detection Speeds Up Visual SLAM Read More +
Highlights: Single DSPs for embedded vision, radar, lidar and AI processing boost performance while providing significant area, power and cost savings New radar accelerator provides a highly programmable hardware solution for offloading 4D imaging radar workloads, increasing performance Designed for sensor fusion processing in multi-sensor automotive, drone, robotics and autonomous vehicle system designs SAN JOSE,
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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