Development of machine vision module for intelligent portable bowling system

Abstract

This design analyzes the functional requirements of portable bowling system, and designs the overall framework of machine vision module based on the whole bowling system. The UP Board was chosen as the master chip, and Intel Realsense D435 as the data acquisition device. The HOG (Histogram of Oriented Gradient) feature and Adaboost algorithm were combined to detect the status of the bowling pins. We integrated all algorithms into the program, and completed the software design of the whole module, and debugged and improve the hardware. Finally, the software and hardware of the machine vision module are fully combined, running stably and realizing normal functions, which meets all the requirements of this design.