Fujitsu Laboratories and Fujitsu Research and Development Center (FRDC) has announced the development of “Actlyzer” hand wash 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 planned to come into effect in June 2020 in Japan, food business operators will also be required to implement stronger measures to ensure hygiene in accordance with international HACCP 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, Fujitsu has expanded the recognition function of its existing “Actlyzer behavioral analysis technology”, which can recognize a variety of subtle and complex human movements without relying on large amounts of training data. Specifically, Fujitsu 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 handwashing 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, Fujitsu 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.