創新及科技解決方案

Falling is considered the most common source of injury amongst the elderly population. Approximately 30%-50% of falls cause minor injuries such as bruises and abrasions, and around 10% result in major injuries, including fractures and brain injury-related deaths. Elderly centers have been actively trying to prevent the falls, but accidents do happen and an immediate response could avoid the situation to worsen. The existing solution to this problem is the ‘safety bell’ that requires elderlies to always wear it on their necks and push the button whenever there is an emergency- such as they have fallen. Although the device could instantly contact nearby hospitals and inform police stations, it is largely dependent on Elderlies pushing the button, hence when they are unconscious or thinking they could manage by themselves, will often delay the best time to receive medical treatments and worsening the situation.

The falling alert aspect uses facial recognition that identifies the elderly, and key-point recognition that recognizes the body key-points such as joints, limbs etc hence knowing when there are irregular body movements causing a fall. When a fall is detected, an instant alert will be sent to the end-user through an online dashboard (APP/Web) allowing elderlies to receive immediate care preventing the situation to further worsen.