![]() ![]() "Color Feature-based Pillbox Image Color Recognition." In VISIGRAPP (4: VISAPP), pp. The three steps used are feature extraction, matching, feature retrival. 2 (2014): 1011-1015: This paper mainly concentrates on legal and illegal pills based on the features such as color, shape, text if they match it is illegal if not illegal pills. "Color and shape feature extraction and matching in pill identification systems." International Journal of Computer Science and Information Technologies 5, no. The size, shape and color of a pill are represented by using shape distribution model, and this is sampled from the centroid of the drug.Īnnasaro, E., and A. IEEE, 2012: This paper introduces a simple technique to automatically identify prescription drugs within image. "Automatic identification of prescription drugs using shape distribution models." In 2012 19th IEEE International Conference on Image Processing, pp. Shape of the pill by making use of Raspberry pi, camera, memory card and LCD as Hardware requirements and the Raspbian OS and OpenCV as software specifications.Ĭaban, Jesus J., Adrian Rosebrock, and Terry S. In this paper, we are detecting the color and ![]() As the technology is improved day by day, there are many online websites which help to identify the pill on the stored databases but it is time consuming and may be erroneous. Hence, there is a requirement of a system which identifies the shape and color of the pill. Since, the nurses have to look after many other patients, it becomes difficult for them to remember the name of the tablet, whom to provide it and at what time. Some people stay in old-age homes where they are taken care by the nurses. Therefore, it becomes important to have a system which identifies the color and shape of the pill. Due to the consumption of wrong pills a person may end up his life. Most of the elderly people are illiterate and dont have knowledge about the pill which they need to consume and at what time. Due to these health problems, they need to take the different pills at different times. Now-a-days, most of senior citizens face different kinds of issues regarding their health. In the present world, all the youngsters go to work and the elderly people stays at home. Keywords Color Recognition, Contour Approximation, OpenCV, Ramer-Douglas Peucker Algorithm, Shape detection. This is mainly applicable in hospitals which help caretakers to provide correct medication to the patients. In this paper, we propose a drug image identification system based on multiple features such as shape and color with the help of raspberry pi and camera by capturing the image and detecting the pill. The pill can be identified using online pill database but this is time consuming and may be erroneous. Many drug recognition system offer keyword searches based on drug names which may vary from product to product. For patients, correct pill information is important. So, it is mandatory to have pill identification system in-terms of color and shape. But, due to the lack of knowledge in the medical aspects people are taking the un-prescribed drugs and ending up their life. It is very difficult among the elderly people to identify the correct pill which they need to take during their medication. The possibility of misidentification and adverse drug events has been increased. The prescription of drugs is increasing day by day among youth and older people. Patient care and patient safety are main priorities of hospital. Health care has not been the priority in India and government has more other priorities. Million people died in India due to the medical errors. Indias 2018 population is estimated around 1.35 billion. of Electronics and Communication Engineering SMVITM, Bantakal Udupi, IndiaĪbstract India is the second largest country in the world. Color and Shape Recognition of Pills using Image Processingĭept. ![]()
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