Research on the application of intelligent robots in explosive crime scenes

In order to reduce the harmfulness of explosion crime to society, this paper improves the coordinate transformation algorithm from the perspective of bomb demolition, and builds a motion control system suitable for EOD robots. Moreover, this article combines image recognition algorithms to improve machine vision, and obtains an intelligent recognition system suitable for EOD robots. In addition, the optical model of the monocular camera is established to calibrate the camera's own parameters, and a series of image processing algorithms are used for visual image processing to obtain the plane position information of the target object. After the robot recognizes the position of the bomb, it gradually approaches the bomb, its coordinates are constantly changing, and the collected data is transmitted to the data processing center to realize real-time control of the EOD robot. Finally, this paper verifies the reliability of the EOD robot through simulation tests.