Intelligent vision capsule identification device

Abstract

The invention discloses an intelligent mechanical device, and specifically refers to a device which is used in fields like health-care medicines, medicines and packaging for detecting, identifying, determining and sorting hollow transparent capsule, hollow nontransparent capsule and capsule filled with drug granules. The device comprises a collating unit, a transferring unit, an identifying unit, a separating unit and an intelligent controlling unit. L-type grooves in the collating unit enable capsule to be transferred from an L-type groove at one side to another L-type groove at the other side; on the surface of a circular wheel is provided with an arc-shaped protection screen; capsule in the transferring unit can freely rotate in capsule grooves through the fraction between the transferring unit and a supporting band; the main light source of the identifying unit employs parallel light and the backlight of the identifying unit employs flat source; and the separating unit is provided with a plurality of magnet plungers respectively corresponding to capsule grooves on a linking sheet. The invention has the advantages of high efficiency in separating, improved correct rate of separating, substantial reduction of labor intensity and high automation. The intelligent mechanical device provided in the invention has a wide range of usages in the industries of pharmacy and foodstuff.

Description

technical field [0001] The invention relates to an intelligent mechanical device, specifically a device for detecting, identifying and judging and classifying hollow transparent capsules, hollow non-transparent capsules and capsules filled with drug particles used in the fields of health care medicine, medicine and packaging. Background technique [0002] At present, manufacturers in health care, medicine, packaging and other fields, as well as hollow capsules and capsules filled with medicines, use visual inspection or simple auxiliary equipment to move capsules to detect, and sort them on the backlit glass. Selection under irradiation is low in efficiency, high in cost, high in labor intensity, and poor in quality stability. Eye fatigue will cause visual errors of varying degrees, which cannot meet industry standards. There are serious hidden dangers in the sanitation, and human influence and skin contact will bring infectious secondary pollution. In view of the fact that ...

AI Technical Summary

Problems solved by technology

[0002] At present, manufacturers in health care, medicine, packaging and other fields, as well as hollow capsules and capsules filled with medicines, use visual inspection or simple auxiliary equipment to move capsules to detect, and sort them on the backlit glass. Selection under irradiation is low in efficiency, high in cost, high in labor intensity, and poor in quality stability. Eye fatigue will cause visual errors of varying degrees, which cannot meet industry standards. There are serious hidden dangers in the sanitation, and human influence and skin contact will bring infectious secondary pollution. In view of the fact that the above artificial visual inspection methods and simple auxiliary testing methods cannot meet the needs of the industry and cannot guarantee the packaging of pharmaceuticals, so visual intelligence Capsule testing is a must

[0003] The capsule detection equipment disclosed in the Chinese invention patent specification [CN 10198505 A] is composed of an arrangement device, a transmission device, an identification device and a separation device. The identification includes image processing, electric control components, optical one-by-one imaging and identification, and then consists of an electromagnet and a thrust rod. Rejection, although it solves the secondary pollution, it can't really realize the separation of the capsules, and they will be mixed together, so the separation and classification cannot be realized. Unable to achieve 360-degree image acquisition, will cause missed inspection on the surface of the capsule, unable to achieve comprehensive detection, let alone 3D image data, and true judgment and detection of capsules

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