Plastic cap visual inspection machine

Yuzhen Technology's plastic cap visual inspection machine is an intelligent device specifically designed for detecting appearance defects in bottle caps. It is widely used in industries such as dairy products, beverages, pharmaceuticals, and daily chemical products. Utilizing machine vision and AI deep learning technology, the machine is equipped with 2-8 sets of high-precision industrial cameras, enabling 360° detection of the top, bottom, inner, and outer surfaces of bottle caps without blind spots. The inspection covers common defects such as deformation, burrs, black spots, dirt, material shortage, and gasket abnormalities. It can automatically reject defective products, ensuring consistent quality upon leaving the factory.

The equipment supports high-speed cap feeding, with a maximum detection speed of up to 3,000 caps per minute (or 180,000 caps per hour), significantly enhancing production efficiency and far surpassing manual detection capabilities. The system features remote debugging and data recording functions, allowing real-time feedback of detection results to the factory's intelligent manufacturing system, assisting enterprises in achieving quality data-driven and intelligent management. Additionally, the equipment is compatible with various types of bottle caps, such as tamper-evident caps, combination caps, butterfly caps, aluminum-plastic caps, etc., offering multi-purpose functionality and flexible adaptation to different production line requirements.

Based on mature and stable visual algorithms and modular design, this inspection machine is easy to operate and supports manual/automatic switching modes, making it convenient for debugging and maintenance. It has been successfully applied in well-known enterprises such as Coca-Cola, Yili, and Harbin Pharmaceutical Group, with over 2,000 implementation cases and serving more than 500 customers, thus possessing a strong industry verification foundation.