To solve the problems of low manual detection efficiency, weak anti-interference ability of traditional machine vision detection, and insufficient parameter adaptive adjustment in drug packaging detection, the work aims to design a combined detection system for drug bottle defects and liquid level based on improved fuzzy PID. Firstly, the core requirements and current technological bottlenecks of drug packaging detection were analyzed. It was determined that the detection system consisted of image acquisition, transmission control, intelligent decision-making, and execution rejection. Dynamic factors such as changes in conveyor belt speed, environmental light interference, and changes in bottle specifications during the detection process were optimized and processed. On the premise of ensuring detection accuracy, an improved fuzzy PID controller with adaptive weight factors was adopted to automatically adjust the camera exposure time, image acquisition frequency, and servo motor speed, so that the fuzzy rule weights dynamically changed with time and environmental conditions to achieve optimal detection results. The experimental results showed that compared with traditional PID control and ordinary fuzzy PID control, the improved fuzzy PID control system reduced the false detection rate by 61.3%, the missed detection rate by 60.4%, and the response time by 46.7% under the same working conditions. It could also accurately identify defects such as scratches, cracks, stains, and liquid level deviations on the bottle body. The combined detection system has good anti-interference and adaptability, with detection accuracy and efficiency meeting the industrial production needs of drug packaging, providing a new technical solution for drug packaging quality control.
Key words
drug packaging detection /
machine vision /
improved fuzzy PID /
defect detection /
liquid level detection
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