Since its inception, blue core technology has been determined to be a new generation of industrial mobile robots, through the depth vision to give mobile robots three-dimensional vision perception ability, improve the security and stability of mobile robots.
The new product, The 3D Vision Sensor Eagle-M3, is the third generation of cost-effective obstacle avoidance cameras “Tailored”for mobile robots by the Blue Chip Technology Vision Product Research and Development Center. After a large number of commercial scenarios of the previous two generations, M3 has been iteratively upgraded on the Algorithms of ambient light suppression and anti-motion Blur, and its obstacle avoidance performance is better. In addition, the M3 has been optimized in terms of hardware architecture, making it compact and easy to integrate.
| M3 -- Obstacle avoidance performance |
MINIMUM OBJECT RECOGNITION: In conventional indoor conditions, Eagle-M3 can identify obstacles 3 cm above the ground or pits 3 cm below the ground level.
The longest detection distance: After Algorithm optimization, Eagle-M3 detection distance of up to 12 meters.
Output Image: output intensity map, depth map, point cloud map can be synchronized.
EAGLE-M3 can effectively suppress ambient light, the product is suitable for indoor or semi-outdoor scenes; The unique anti-motion Blur Algorithm enables M3 to avoid obstacles even in the face of direct sunlight, metal wire-drawn objects and with a reflectivity as low as 5% . Therefore, EAGLE-M3 can solve the mobile robot in factories, hospitals, shopping malls, hotels and other complex environment faced with many technical problems.
Obstacle avoidance effect of black dynamic obstacle
| M3 -- optimization of hardware structure |
The structure of Eagle-M3 is compact and dexterous. The overall hardware size is 78 × 32 × 43.5 mm, which is only a little higher than the one-dollar coin.
| Optimal Scheme for obstacle avoidance |
There are many kinds of obstacle avoidance sensors on the market, such as: single-line Lidar, ultrasonic, Collision Bar, etc. . The collision bar is usually used as the last violent measure to avoid collision, and the ultrasonic obstacle avoidance is often misjudged Single-line Lidar has a large blind area (only scanning obstacles in two-dimensional plane, the obstacles below or above the laser can not be detected, there is a greater security risk) ; 3d vision sensor can make up for the laser this defect. Therefore, at present, the best way for Mobile ROBOT TO AVOID OBSTACLES IS 3D vision sensor + Lidar, in which 3D vision sensor can avoid obstacles accurately at short and medium distances, and lidar can avoid obstacles accurately at long distances.
With the popularization and application of robot technology, more and more robots enter enterprises and public places to serve human beings, the security and stability of mobile robots can not be ignored. The 3d vision sensor is like the “Eye”of the mobile robot, which can enhance the robot’s ability to perceive and understand the three-dimensional environment, and guarantee the robot to provide more reliable services for human beings under the premise of safety.