Millisecond-level autonomous obstacle avoidance
Continuously identify, locate, and analyze obstacles while driving, and correct the route in a timely manner, so that the task can be carried out while ensuring safety;
Centimeter-level high-precision positioning
The independently developed SLAM algorithm integrates multiple sensors (lidar, camera, millimeter-wave radar, GPS, etc.) to accurately locate the target object with an error of less than 10cm;
Kilometer-level path planning
Can cover all indoor and outdoor scenarios, field environments, etc., and plan cruise routes and start and stop at specific locations according to mission objectives.
Temperature sensor
It can detect the temperature of the target and form a thermal image for field exploration, reconnaissance and other operations;
Sound sensor
It can perform sound recognition and noise analysis to determine the status of the instrument. It can be used for inspections of important places such as military factories and computer rooms;
Self-developed AI vision system
Can perform many types of visual recognition detection such as face recognition and instrument data reading.