The Fusion "Fall Detection Solutions" which was launched by Chiun Mai Communication Systems was honored to win the Category Award of Best Choice Award at Computex 2021. Fusion introduced IoT technology to the healthcare industry, and provided AI-powered cloud platform and solutions which integrated indoor positioning, sensing technology, deep learning, and cloud services to frontline medical staff, patients, and the elderly.
mmWave Radar Fall Detection System
“Fusion Fall Detection Solutions” detect the distance, speed and angle of objects (4D point cloud information) through millimeter electromagnetic wave reflection signals integrated with AI algorithm for people’s stance identification. Compared with image recognition, infrared sensing, ultrasonic and thermal sensor, mmWave radar has much higher accuracy and has a strong adaptability to environmental conditions such as darkness, strong light, smoke, and steam. Millimeter radar does not use camera to capture people’s image so it can maintain privacy all the time.
“Fusion Fall Detection Solutions” automatically detect the activities of the elderly in the room, bathroom and other spaces, and analyze whether falling or staying too long, and provide reminders and records of the patient from getting up/out of bed to reduce the risk of accidents. At the same time, the sleep tracking will show the frequency of on-off bed period and monitor the rate of breathing. The thin, clean and no-lens appearance combined with night light function is designed to put no pressure on the elderly and reduce the risk of falling in the dark.
The cloud platform will collect big data from people’s stance to train deep learning models, and optimize the result of detection. The intuitive graphical interface of management dashboard assists caregivers to know the situation about bed rest, falling, getting out of bed, space status and location. When detecting an emergency occurs, the cloud platform will send alert to the management dashboard and caregiver’s mobile phone so instant assistance can be given.
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