Up to 3x more accurate than any alternative, especially in difficult edge cases.
Eos Embedded Perception
in Harsh Conditions
How Eos helps you perceive
Eos increases system safety by overcoming the shortcomings of computer vision, especially in harsh lighting and poor weather.
Improve your system utilization by enabling effective perception 24/7 in any imaging scenario.
Address the robustness limitations of current vision system architectures through an end-to-end deep learning approach.
Designed for All Vision Systems
Eos is built with a highly optimized end-to-end architecture and a novel AI deep learning framework that uniquely addresses the challenges of perception in harsh conditions.
This reduces model training cost and time by orders of magnitude and removes sensor/lens lock-in, something not possible with today’s deep learning methods.REQUEST INFORMATION
Eos addresses individual NCAP requirements, L2+ ADAS, higher levels of autonomy from highway autopilot and autonomous valet (self-parking) to L4 autonomous vehicles as well as Smart City applications such as video security and fleet management.
Eos provides multi-sensor early fusion for L2+ and higher autonomous vehicles and robots. Combined with stereo or depth-sensing cameras, Eos provides an alternative to Lidar at a fraction of the cost.
Perception software enabling end-to-end learning of computer vision systems. The approach allows customers to easily adapt their existing datasets to new system requirements, enabling reuse and reducing effort and cost vs. existing training methodologies.
Resources & NewsSee all
- Algolux Closes $18.4 Million Series B Round for Robust Computer Vision News
- Algolux Wins Two Tech.AD Awards News
- [Case Study] Algolux Eos Embedded Perception vs. State-of-the-Art Models Case Study
- Algolux Launches Next-Generation of Eos Embedded Perception Software for ADAS and Autonomous Vehicles News
- Fixing Tesla’s Highway Autopilot Blog