An auxiliary system for reducing missed needles in acupuncture using image recognition and IoT

Acupuncture medicine has been proven effective by many studies and is popular in the market. However, in busy medical work, patients often take the needle home because of missed needle removal. In order to solve such incidents, this research introduces Image recognition and IoT sensing technology and design & implement a device that can automatically calculate and compare the number of needles used and the number of recycled needles. The system will send an error alert when the two values are not equal. After three days of actual verification and testing, users (doctors and nurses) are satisfied, and the rate of missed needles during the experiment is 0%, which proves that this product is indeed feasible and effective.