With the large-scale application of mobile robots in warehousing, logistics, medical and health care, etc., how to ensure that mobile robots can stably and reliably achieve obstacle avoidance functions in complex environments is becoming an important technical challenge. In practical applications, the obstacle avoidance function is not perfect, which can easily lead to potential safety hazards such as collisions and accidents, and reliable obstacle avoidance requires the robot to have accurate environmental perception and understanding ability during movement.
▲Meyer Microvision S series obstacle avoidance camera semantic recognition measurement
As the first company focusing on mobile robot vision technology in China, Myer Microvision has launched the cost-effective RGB-D multi-modal industrial-grade obstacle avoidance camera S series last year for the obstacle avoidance application of mobile robots, which has been used in batches in various scenarios such as unmanned forklifts, stackers, latent trucks, container trucks, industrial cleaning robots, and medical and service robots.
The S series obstacle avoidance camera can obtain the three-dimensional information and RGB texture information of the surrounding environment in real time, and can well perceive low and suspended obstacles, and the obstacle avoidance algorithm that comes with the S series obstacle avoidance camera can understand the surrounding environment more comprehensively by combining RGB images and depth images, and achieve efficient semantic recognition and classification, which can not only identify the location and size of obstacles, but also understand their types, such as people or objects of different shapes. Compared with 2D lidar, the S series obstacle avoidance camera can better realize the obstacle avoidance function of mobile robots, making the operation of mobile robots safer, more stable and more intelligent.
▲迈尔微视多模态避障相机S2
In the initial stage of the design of the S series, in order to improve the ease of use and stability of the product, the Meyer Microvision team fully drew on years of experience in the field of mobile robots, and carefully considered the data communication mode, physical interface, obstacle avoidance parameter setting and result output format of the camera.
●The data communication and transmission interface of the camera is designed with industrial-grade aviation plug to ensure stable and reliable data transmission.
●Considering that when the mobile robot uses 2D lidar as the obstacle avoidance sensor, its function is generally realized by defining the obstacle avoidance area, so the S series obstacle avoidance camera is the first in the industry to adopt the 3D space obstacle avoidance area of the mobile robot to realize the detection of the entire 3D space obstacle, and the detection result is also directly informed to the controller through the I/O interface, which is very convenient for the docking and joint debugging of the mobile robot control system.
●In actual use, considering the diverse needs of different users for different application scenarios, the Meyer Microvision obstacle avoidance solution allows users to customize the obstacle avoidance parameters according to the actual path and environment, so as to enhance the adaptability and accuracy of the system, so that the S series obstacle avoidance camera can better meet the visual obstacle avoidance needs of industrial mobile robot applications.
In order to further enhance the competitiveness of the product, Myer Microvision will continue to launch two upgraded obstacle avoidance camera products, S2 Max and S3 camera, the new product will improve the recognition ability of the black wishbone and better adapt to the obstacle avoidance solution installed at the lower end of the fork teeth. Friends who are interested in obstacle avoidance solutions for mobile robots can keep an eye on Myer's new products!