Human Fall Detection

Background and Scope

Our client is an IT company urged to build a device that can detect human fall in real time. The most appropriate technique was to use IoT device coupled with Raspberry pi and a camera to track the exact condition of the elderly or weak people, alerting the healthcare staff or the family member at the time of fall or adverse conditions.

The client engaged SoftmaxAI, An artificial intelligence development company to develop a hardware and software component using sensor network and IoT to discover the fall, as falling is one of the most common event in the elderly or weak patients.

Our approach

According to Centres for Disease Control and Prevention (CDC), nearly 3 million older people (65+ years) are treated in an emergency departments for fall injuries. To cater this problem, especially during the COVID-19 outbreak, where people get isolated alone, we created an alerting device which can caution the care takers and inform them about the fall of the elderly.

Artificial intelligence in health sector is bringing revolutionary changes and this gadget is a perfect example for decreasing the multiple health hazards without any false alarm.

The Fall detector consist of IoT component and a camera with Raspberry pi and has a much planed design. It observes the living area from an angle and detects the movement of humans. The most astonishing part is, it does not trigger an alert by the movements of pet and only alerts when a human fall is detected. Primarily, it preserves the privacy by only sharing the fall detection and not storing any visuals in the camera.

Moreover, the usefulness of the fall detector extends from the household usage for the family to the hospitals where multiple patients could be monitored. In addition to this, it can also be serviceable for independently living seniors by notifying their care takers.