AI Enhanced Visual Inspection of Post-Polished Workpieces Using You Only Look Once Vision System for Intelligent Robotics Applications

R. Luo, Zheng-Lun Yu
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Abstract

The objective of this paper is to provide a solution of automated optical inspection for post-polished workpieces using you only look once YOLOv5 vision system. It intends to assist human labor who checks workpieces with eyes in the long terms. Robots have now become an essential role in industrial applications. An example application is automating polishing tasks using robots. However, polishing still requires people to be involved in the post-processing especially in product detection. YOLOv5 can be applied in multiple scenarios because it is known for high accuracy and fast detection in real-time image detection. In this paper YOLOv5 approach have been implemented for robotic faucet surface inspection and demonstrated the success of the process.
人工智能增强后抛光工件的视觉检测,使用智能机器人应用的“只看一次”视觉系统
本文的目的是提供一种使用YOLOv5视觉系统对抛光后工件进行自动光学检测的解决方案。它旨在协助长期用眼睛检查工件的人类劳动。机器人现在已经成为工业应用中的重要角色。一个示例应用程序是使用机器人自动化抛光任务。然而,抛光仍然需要人参与后处理,特别是在产品检测中。YOLOv5以其在实时图像检测中的高精度和快速检测而闻名,可以应用于多种场景。本文将YOLOv5方法应用于机器人水龙头表面检测,并演示了该过程的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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