Automatic Medicine Analysis System in a Pharmaceutical Industry Using Digital Image Processing

Abstract� Now-a-days people are prone to different types of diseases so medication has become very important in everyone's life as they are suffering from diseases. There are certain diseases which cannot be cured without medication. Since due to spreading of a numerous diseases production of medicines have increased in recent days. In Today's era application of image processing in many industrial processes has proved its universality and superiority. This paper present color based object sorting system as well as deformity in tablets by the use of image processing and machine vision system. The manual survey poses further problems in keeping consistency in uniformity in sorting. For speeding up the process and to maintain the consistency and uniformity of system, we have designed and implemented a prototypical computer vision based sorting system. However during production there may be damages like breakage, cracks present in the tablets or capsules. Utilization of these damaged tablets may cause some severe problems in humans. Despite, most of the tablets are not advisable to be consumed in damage form. So Manual inspection proves to be a challenging task. Image processing plays a major role in automation of visual inspection. So we developed some ideas to identify the damaged tablets after production.