Machine vision-based information collection system for collector coin grading boxes

Abstract

With the goal of automating the information system acquisition of collector coin grading boxes, this paper designs a vision-based grading box target acquisition robot platform. For the problem of information extraction of grading box images, a character recognition algorithm based on watershed area segmentation is proposed to improve the recognition accuracy of sticky characters, and an information acquisition robot application software is developed. The experimental and application results show that the image acquisition of the collector coin grading box information acquisition system is clear and the character information recognition rate reaches 1000%, which realizes the efficient and fully automated information acquisition of the collector coin grading box information acquisition system.