Capsule Identification Technology In Machine Vision Technology

With the rapid development of economy and technology, people’s living standardsrequirements are also increasing. All walks of life are increasingly high requirements fordetection. Especially in the pharmaceutical industry with their own health is closelyrelated to the testing requirements are also rising. Daily life, we usually buy capsule drugscommonly used to judge the quality of drugs by the naked eye or capsule drugs contour,color alone. Capsule production line in China, many pharmaceutical manufacturers arestill simply rely on a special quality inspector standing next to the production line with thenaked eye drugs individually determine the shape and the color. This need the staff eyesstaring at the time the production of numerous drugs in the pipeline. The strength of theirwork is very large, and inevitably affected by many uncertain factors, so that the testingstandards can not be unified. Both time-consuming and labor-intensive to increase theoperating costs of the pharmaceutical manufacturers can not guarantee the quality of thedetection capsules, a considerable part of the substandard capsules drugs into the market.In this context, this paper presents a capsule recognition system based on machinevision technology. NI LabVIEW software combined with Vision Builder AI on the corepart of the capsule detection system-hardware design, damaged capsules detection,system software design were studied and the results have been achieved in LabVIEW.In terms of hardware, real-time requirements of the because the capsules detectionequipment, the article uses the LED light source as capsules detection light source, andalso made a series of experiments contrast in the way of light. Camera Daheng image toDH-HV1303UC, acquisition capsules image.On the software side, we mainly rely on NI LabVIEW software, Vision Builder AIand other related supporting software, LabVIEW application on the basis of the theory ofdigital image processing control unit image image enhancement, image filtering, capsulesimage damaged identify a series of technical processing. A series of processes for thecapsule image detector.