Hand washing movement recognition technology
Offshelfai has developed a hand washing movement recognition technology, which leverages AI and machine learning techniques to identify complex hand washing movements from video data captured by camera.
Amidst the ongoing global COVID-19 pandemic, the importance of hand washing as a measure to protect people’s health from bacteria, influenza, and other infectious diseases is gaining renewed attention worldwide. Under new regulations worldwide, healthcare facilities and food business operators will be required to implement stronger measures to ensure hygiene in accordance with international food safety standards, creating an urgent need for a non-invasive approach to quickly and accurately confirm that handwashing is carried out in a proper manner.
Anticipating this, Offshelfai has developed a customizable hand washing recognition system, which can recognize a variety of subtle and complex human movements without relying on large amounts of training data. Specifically, Offshelfai has refined recognition capabilities for hand movements to create technology to automatically recognize complicated hand movements performed during hand washing.
This technology makes it possible to easily determine whether someone is following each of the 6 steps for hand washing recommended by the Japanese Ministry of Health, Labour and Welfare , reducing the number of man-hours required for intrusive visual checks by inspectors for on-site sanitation management.
Moving forward, Offshelfai envisions this technology being used in a variety of other contexts, including in medical facilities, schools, hotels, and venues for large events, and plans to conduct field trials and additional research and development into it as a potential solution for its AI portfolio in the future.