Advanced Object Detection for Capsules and Tablets Identification Through Deep Learning

In this study, a novel deep learning framework has been created for the precise detection and identification of pills and capsules in medical photographs. In the pharmaceutical industry, there is always a danger that tablets and capsules will mix up inadvertently. A system has been devised where an alert mechanism is launched if a tablet is spotted in order to avoid such accidents from occuring. The warning system uses WhatsApp’ s messaging service to send a message to a pre-registered number and play a siren alert sound. This method recognises prescription pills with great accuracy and effectiveness using the object detection algorithm YOLO. The algorithm gains the ability to recognise distinguishing visual features and changes unique to particular pills through rigorous training on annotated datasets. The proposed framework could be used to improve automation and reliability in drug detection operations, as well as pharmaceutical manufacturing, quality control, and medicine identification systems.