CARE . SMARTER . SA!FER
We are a team of audacious computer vision and deep learning specialists who wish to apply their skills in service of the aging population.
Flexible trends in job markets are pushing families apart and evermore elderly people live at home alone. According to a report released by the World Health Organization, the number of people over 65 years is expected to double by 2050. This poses a big challenge to the society in helping its elderly population to live healthy and safely.
One of the biggest challenges is providing 24/7 support to elderly persons in their daily activities, in which an automatic detection of most frequent types of accidents plays a key role. The most commonly occuring accident is falling and more a person is aged - higher is the probability of serious injuries caused by fall.
Most importantly, the time the person passes lying until proper care gets administered directly determines the seriousness of the aftermath of fall. It has been proved that the earlier a fall is reported, the higher probability the patient would recover from the accident. There is a staggering statistic that death occures after fall due to untimely reactions of unawareness of this accident in as much as 80% of cases. Going from a scale of developed over developping and up to underdeveloped societies this number only increases.
We firmly believe that a low-cost and accurate accident detection is essential for improving safety and prolonging autonomy of elderly. To this end, we developed a vision-based solution for fall detection by applying deep learning based AI.
THE SA!FER TEAM
Get to Know Us
Founder / CEO
PhD Embedded Vision
PhD Candidate Electronics
MSc Computer Science
Life Science Consultant
Business Development Consultant
Co-Founder / CEO
Time is of the Essence
Our fall detector is an ambient camera based device.
It processes visual information which is rich in ambient context. The artificial intelligence behind image acquisition is able to directly filter hazardous actions, including falling, on the spot and in real time.
User privacy is strictly respected as there is neither transfer nor recording of video.
When an accident has been detected, the caretaker is immediately alerted by an SMS.
This isn't a video surveillance system, it is a specific action related detector.