Eos is an award-winning end to end neural network stack that can be embedded in any vision system. It delivers improvements in perception accuracy of more than 30% as compared to today’s most accurate computer vision algorithms, especially in the harshest scenarios.
Eos Perception Software
Industry-best Perception Accuracy
Single Camera Perception
Single Camera Perception
Perception software for front-facing autopilot, rear-view, and mirror-replacement use cases and surveillance applications.
Multi Camera Perception
Multi Camera Perception
Perception software for 360-degree use cases, such as self-parking and autopilot.
Multi Sensor Fusion
Multi Sensor Fusion
Perception software for early multi-sensor fusion for Level 2 and higher autonomous vehicles and robots.
End-to-End Perception
End-to-End Perception
Perception software providing a path up the autonomous stack deliver fully end-to-end learned systems.
Eos Deep Learning Technology
Robust and Scalable Perception for Vision-critical Applications
Compared with today’s leading perception models, Eos delivers much higher robustness and accuracy across the most difficult environments.
- Deliver industry-leading robust accuracy across all conditions, with over 30% better accuracy vs. alternate approaches
- Easily scale support for any sensor configuration and processing environment
- Significantly reduce BoM costs and power by enabling use of lower-cost components or even completely removing ones, such as the image signal processor (ISP)
Flexible implementation of single-camera through multi-sensor fusion perception architectures