case study 1
driver drowsiness detection
The last quarter of 2017, the leadership at Ola decided to explore solutions that ensures rider/driver safety on the roads. When we looked at data related to drivers' behaviour, we found that most of our drivers continuously took rides for more than 18 hours a day or more. I wanted to know if this behaviour makes our drivers drowsy and as a consequence compromise safety of themselves and others.
When I looked at research papers and accident data for India, I found out that it didn't exist. Then I explored data about other countries and came across a treasure trove of information to my surprise. The National Highway Traffic Safety Administration in the United States had extensive data on drowsiness related accidents.
I was the sole designer and the developer on this project. I led the research, designing of a solution and developing the android application as a proof of concept.
I decided to make an android application as a proof of concept as Ola driver devices are android based. I used facial recognition technology to track visual cues on a human face to detect drowsiness and sound an alarm if the driver is found to be drowsy.