Autonomous Robotics



Autonomous Robotics

The rise of autonomous applications is evident across various industries, including the robotics market. Unmanned aerial vehicles (UAVs) are increasingly popular in multiple applications, such as agriculture, industry, aerospace, mining, emergency services, and more.


To navigate dense areas with humans, machinery, and other obstacles, robots require accurate measurements of distance, height, and object locations, with minimal errors. Such precise navigation is crucial in numerous applications, where safety, efficiency, and productivity are paramount.



Our proprietary software-based algorithms create a 3D perception stereo vision that upgrades and amplifies existing vision sensor systems’ performance without requiring new or additional hardware.


Our unique solution allows camera modules to be placed independently apart supporting large baselines without requiring any stringent mechanical constraints or manual calibration allowing higher accuracy at longer distances.


Our point cloud provides 3D raw data that can be used for accurate obstacle detection, in-depth terrain analysis and autonomous vehicle sensor fusion.

QuadSight 2.0™

Our QuadSight multi-spectral vision solution allows for exceptionally accurate obstacle detection in harsh lighting and weather conditions.


Our Automatic Calibration technology uses a dedicated algorithm to assess relative pose estimation, providing an accurate stereoscopic 3D perception.