Appearance detection scheme of plastic bottle caps for plastic parts

Release time：2024-08-05Hits：

Plastic bottle caps are a common packaging material used to close the openings of bottles or containers and protect liquid or solid substances from external pollution or leakage. The plastic bottle cap has good sealing performance, which can effectively prevent the leakage or pollution of liquid or solid substances. Most plastic bottle caps are designed to be easy to open and close, providing a convenient operation experience. Plastic bottle caps can be designed in various shapes, colors and sizes according to different needs to meet the needs of different containers. Plastic bottle caps are usually made of polyethylene (PE), polypropylene (PP) and other plastic materials, which have good corrosion resistance and durability.

Sputek's AI machine vision system can quickly and accurately identify various defects in the bottle cap, such as color mixing, product size, logo, mixed color dirt, missing material, flying edge, etc. Through the intelligent analysis of the cap image, the system can detect the appearance and quality of the cap in real time to ensure the overall quality of the product packaging.

Machine vision system is a system based on computer vision technology, which realizes the automatic recognition, analysis and processing of objects, scenes, etc. through the acquisition and processing of visual information such as images and videos. Machine vision systems can use cameras, sensors and other devices to obtain image data, and use image processing algorithms to preprocess images, extract features and other operations. Through machine learning, deep learning and other technologies, the machine vision system can detect, identify and classify the targets in the image to achieve automated target recognition tasks. In the field of production and manufacturing, machine vision systems can be used for product quality control, defect detection and other tasks to improve production efficiency and product quality. It can be applied to the field of intelligent monitoring, video analysis and security to realize real-time analysis and alarm of surveillance camera shots. The key components of automatic navigation and unmanned driving technology realize intelligent navigation of vehicles by identifying roads, obstacles and other information.