Design teams and SoC/ISP providers can now securely scale and deploy automated camera optimization to maximize vision system performance; solution support extended to Arm and Renesas ISPs Montreal, Canada – April 6, 2021 – Algolux, the leading provider of robust and scalable perception solutions, has announced the next generation of its Atlas Camera Optimization Suite, […]
How an Automotive Tier 1 Supplier Used Atlas to Improve Computer Vision Accuracy By Up to 48% mAP Within Days This blog post was originally published at Algolux’s website. It is reprinted here with the permission of Algolux. Computer vision is a fundamental technology in automotive Advanced Driver Assistance Systems (ADAS) for pedestrian, vehicle, or
Optimizing Image Processing for Computer Vision Read More +
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
Free Webinar Explores Camera ISP Optimization For Improved Computer Vision Accuracy Read More +
Montreal, Canada – December 8, 2020 – Algolux today announced that it has joined Partners for Automated Vehicle Education (PAVE) to help raise public awareness about the real-world challenges that Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle (AV) perception systems face in difficult driving conditions, and the advanced technologies applied to address them. A
Felix Heide, Co-Founder and Chief Technology Officer at Algolux, presents the “Designing Cameras to Detect the “Invisible”: Handling Edge Cases Without Supervision” tutorial at the September 2020 Embedded Vision Summit. Vision systems play an essential role in safety-critical applications, such as advanced driver assistance systems, autonomous vehicles, video security, and fleet management. However, today’s imaging
Expanded Eos portfolio leverages new AI deep learning framework to massively improve system scalability, development costs, and robust accuracy for all operating conditions September 23, 2020 – Algolux, a leading provider of robust perception software solutions for safety-critical applications, today announced at the Embedded Vision Summit the next generation of its Eos Embedded Perception Software.
This blog post was originally published at Codeplay Software’s website. It is reprinted here with the permission of Codeplay Software. Codeplay’s Charles Macfarlane, CBO, and Illya Rudkin, Safety-Critical Software Development Lead, have contributed to this white paper as part of the Autosens conference proceedings. The paper emphasizes the need for the automotive industry to embrace
Open Standards Enable Continuous Development in Automotive Read More +
Atlas automatically optimizes camera hardware systems and computer vision models jointly, improving object detection or instance segmentation results by up to 30 mean average precision (mAP) points and reducing effort and time by more than 10x vs. today’s expert manual tuning approaches, addressing a critical need for Tier 1 manufacturers and other vision system providers
This article was originally published by AutoVision News on behalf of Agolux. It is reprinted here with the permission of AutoVision News and Algolux. Algolux has taken home the top award from the 2020 Tech.AD Europe Conference, based on voting by members of the automotive and autonomous vehicle industries. The company’s Eos Embedded Perception Software
This blog post was originally published at Algolux’ website. It is reprinted here with the permission of Algolux. The state of autonomy is not where anyone predicted it would be. About two years ago, Nvidia’s CEO Jensen Huang was at CES to discuss how their tech would lead to Level 4 autonomy by 2020. As
How Rethinking AI in Automotive Can Improve Driving Safety 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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