Integrated capsule defect detection device based on machine vision

Abstract

The invention relates to an integrated capsule defect detection device based on machine vision. The integrated capsule defect detection device comprises an integrated box, a feeding device, an image acquisition device, a discharging device, a feeding device, a rejecting device and a central control system, has comprehensive functions, meets the operation requirements of a capsule quality inspection production line, meanwhile, is high in practicability, the central control system judges the image information of to-be-detected capsules in real time, judges whether the image information reflectslight or not, adjusts an angle of a lighting source in real time according to the position of a light reflection point, processes the capsule image information according to a computer image processingtechnology, is high in computer judgment precision and high in recognition speed, errors of manual recognition are avoided, the detection efficiency of the whole detection device is improved, meanwhile, the rotating speed of a discharging rotary plate and the conveying speed of a conveying belt are adjusted in real time according to the passing frequency of the capsules, and the problem that thecapsules are blocked due to too fast conveying or difficult to remove due to too tight arrangement on the conveying belt is solved.

Description

technical field [0001] The field of the present invention is the field of detection devices, specifically an integrated capsule defect detection device based on machine vision. Background technique [0002] Medicinal capsules are produced and sold by capsule shell manufacturers to pharmaceutical companies, and filled with drugs on the hollow capsule shells on the pharmaceutical production line. Therefore, the quality of hollow capsules directly affects the quality of finished capsules. In the production of hollow capsules , Due to the constraints of the production process, various defects are prone to occur, such as cylinder defects (bubbles, black spots, cracks, deformation, damage), end surface defects (plum blossom heads, pits, holes, incomplete), color defects (mixed batch, Discoloration), etc., seriously affect the surface quality of the capsule, and even directly affect the filling of the drug, causing the capsule to lose its container function or the dosage of the dru...

AI Technical Summary

Problems solved by technology

[0003] 1. The efficiency of manual detection is low, and it is easy to be interfered by human factors, so that the detection results are inaccurate and the detection efficiency is slow;

[0004] 2. The traditional detection device does not realize real-time control of the entire detection process, and cannot adjust the parameters of the detection device according to the size and weight of the capsule, resulting in a high error rate in the detection results and poor detection efficiency

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