Robot system with casting surface autonomous detection and degraded product sorting function

Abstract

The invention relates to a robot system, in particular to a robot system applied in the field of casting autonomous detection and degraded product sorting. The robot system is a mobile development platform based on a robot operating system. The mobile platform is provided with an industrial camera and a depth camera, real-time and online detection of casting products on a transmission platform isperformed, the basic shape size of the casting products are identified, and surface defects of the casting by using an advanced surface detection algorithm based on deep learning are detected; and meanwhile, the mobile platform is provided with an industrial mechanical arm, and degraded products can be grabbed and sorted out according to the detection results. The robot system can detect the casting of various sizes and sort degraded products, adopts a universal robot operating system, and can facilitate later optimization of a robot control algorithm.

Description

technical field [0001] The invention relates to a robot system, in particular to a robot system used in the fields of autonomous detection of castings and sorting of defective products. Background technique [0002] In recent years, with the rapid development of the manufacturing industry, the market demand for castings has continued to grow, and the quality requirements for castings have also continued to increase. As a big country in the foundry industry, China has special advantages in raw materials and human resources. Therefore, my country's foundry industry generally presents a trend of rapid development, which has laid an important foundation for the development of my country's equipment manufacturing industry. However, in the process of casting production, due to environmental factors or human factors, common defects such as pores, cracks, and scratches often occur on the surface of castings. If these defective casting products cannot be detected and screened in time...

AI Technical Summary

Problems solved by technology

However, in the process of casting production, due to environmental factors or human factors, common defects such as pores, cracks, and scratches often occur on the surface of castings. If these defective casting products cannot be detected and screened in time, they will often affect the quality of the product. Therefore, it is of great practical significance to detect defects on the surface of castings in product production.

At present, domestic foundry companies generally use manual defect detection. The detection effect mainly depends on the experience and knowledge of skilled workers. The detection workload is heavy, and random inspection is generally used. Therefore, the detection efficiency and accuracy are affected.

With the market's higher and higher requirements for casting quality and the increase in labor costs of enterprises, relying on traditional manual methods for casting quality inspection has long been unable to meet the requirements of the development of the modern foundry industry.

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