This drowsiness detection system that will detect that if a person is drowsy while driving, this system will alert the driver when drowsiness is detected. Along with the alert, this system will send the location of the driver & a text message to near-by police station, relatives & hospital to save the driver in case any emergency happens or before that.
Project Objective:
The objective of this project is to build a drowsiness detection system that will detect that if a person is drowsy while driving, this system will alert the driver when drowsiness is detected. Along with the alert, this system will send the location of the driver & a text message to near-by police station, relatives & hospital to save the driver in case any emergency happens or before that.
Socio-economic Benefits:
Driver drowsiness detection is a car safety technology which prevents accidents when driver is getting drowsy. Driver inattention might be the result of lack of alertness when driving due to drowsiness and distraction. The system alerts driver through alarm in real time & save him from any mishap. It will improve safety on the road.
Project Methodology:
The system works through a camera which will detect the drivers eyes. After that, the inout goes onto the Raspberry Pi which performs algorithm to check if the driver is drowssy or not. The Pi is then connected to an alarm system. If the driver is drowsy, then the alarm system will turn on. Also, the Pi is connected to a GSM & GPS module. In case the driver isn't alert after the alarm then the system will the location & a text message to near-by police station, hospital & relatives.
Project Outcome:
The project's outcome is a HW/SW integrated system that will solve a major issue of our society & will save precious lives.
