Eos Embedded Perception
in Harsh Conditions

Algolux Eos Embedded Perception per frame object detection (no tracking) vs. Tesla Autopilot Radar/Camera Fusion + Tracking

Object Detection

Object Detection

Object Detection

Object Detection

Object Detection


Dirty Lens, Dark

Inference with ON Semi AR0130 Tier 1 Camera

How Eos helps you perceive
more clearly

Eos increases system safety by overcoming the shortcomings of computer vision, especially in harsh lighting and poor weather.

Up to 3x more accurate than any alternative, especially in difficult edge cases.

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.


Camera-Based Perception

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.

Multi-Sensor Fusion

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.

End-to-End Perception

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.

Ready to Perceive More Clearly?

Get in touch with one of our experts today to discuss your next project.

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