Traditional steel pipe counting can only be performed manually, which has the problems of large workload, error prone and low efficiency. This paper proposes a steel pipe counting system based on image recognition. First of all, the steel pipe image is collected from the camera, and then the digital image processing technology is used to perform image enhancement, edge detection and morphological operation and other preprocessing, then the steel pipe is identified and counted by the Hough circle transformation, and finally the steel pipe automatic is developed using VC++ software Technical software. Experiments show that the automatic counting accuracy and efficiency of steel pipes in this system are high.
KEYWORDS: Operating systems, Laser processing, Data conversion, Mobile robots, Particles, Transform theory, Laser range finders, Data processing, Distance measurement, Data acquisition
Laser SLAM can be implemented using ROS and Ubuntu system. However, it cannot be run in Windows operating system which is more stable than Ubuntu. To implement the laser SLAM in Windows system, the main program of laser SLAM in ROS is carefully analyzed and modified to make it adapt to Windows system. The main programs of laser processing, coordinate transformation and map construction are rewritten and reorganized. To verify the effectiveness of our work, experiments were conducted in real-world environments. The results of experiments validated that laser SLAM can be implemented in Windows system by rewriting and reorganizing these main programs.
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