What contributions have blister packaging machines made in the pharmaceutical packaging industry?

There are three main ways of drug packaging: bottled, bagged and aluminum-plastic blister packaging. Among them, the aluminum-plastic blister packaging of pharmaceutical tablets accounts for a large share in pharmaceutical packaging. In the production and packaging process of tablets, it is necessary to go through stirring, dosing, sealing, cutting and other flow operations, which is easy to produce leakage, fragments, mixed with foreign matter and other phenomena. Traditional manual selection methods and weight inspection methods are no longer able to meet the growing production needs.
To this end, the application of machine vision and automatic control technology has developed a set of aluminum-plastic blister tablet packaging automatic detection system, real-time detection of cavitation, incompleteness, cracks and foreign matter and other unqualified products, and rejection, to achieve 100% inspection pass rate (ie "zero defect") to provide a favorable technical support.
Machine vision
Machine vision is a technical discipline that studies the use of computers to simulate the function of the visual system of people and creatures, and uses visual means to obtain images of measured objects and compare them with pre-known standards, so as to determine the quality of the measured objects. Machine vision technology is being widely used in all aspects, almost throughout the entire industrial field, and it can even be said that machine vision is almost required in situations where human vision is required. At present, the application of international vision systems is in the ascendant, the market size in 1998 was 4.6 billion US dollars, and in China, industrial vision systems are still in the concept introduction period, leading enterprises in various industries have begun to turn their attention to visual inspection automation after solving the problem of production automation.
Its research goal is consistent with human vision, that is, to let the computer have the ability to sense, abstract and judge the measured object, so as to achieve the purpose of recognition and understanding. A typical machine vision system should accomplish the following tasks: image acquisition, preprocessing, feature extraction, recognition classification, and analysis and description.