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Projects > ELECTRONICS > 2017 > IEEE > EMBEDDED SYSTEMS
Drowsy is the reason for most of the road accidents. Manually tracing the drowsy driver is not an easy task, because every day thousands of vehicles are running on the roads. So we need a system that must come with every car and if it detects the sleepy driver it must stop the vehicle immediately. In addition to this if the driver is slept the vehicle will be stopped, and it monitors the heartbeat, Respiration rate and temperature of the driver and displays it in the LCD. These three parameters are very important because it shows the body status of the driver. These parameters are monitored manually and in case of emergency the in-charge of the ward calls the doctor.
Eye State and Head Pose for Driver Alertness Monitoring.
The aim of this project is to develop a prototype drowsiness detection system. The focus will be placed on designing a system that will accurately monitor the eye blink rate, heart-beat respiration rate and temperature of the driver. In this project we use sensors to measure all these factors. The values measured will be sent to the microcontroller where the measured values will be compared with the reference values. If the values measured do not match with the reference values, then the microcontroller will send a warning signal in the LCD display thereby preventing accidents. This is a small system, so we can easily embed it on any vehicle. The Eye blink sensor is fixed to the driver. The eye blink sensor senses the movement of the eyeball. The sensor output is connected to a microcontroller. The car engine starting system is directly controlled by the microcontroller. If the sensor detects the no output from the sensor because there no movement in the eyeball, it sends the signal to the microcontroller. The microcontroller immediately stops the engine or locks it from starting, also give warning signal and display the reason in a LCD. The system is developed by interfacing a heartbeat sensor, eye blink sensor and a temperature sensor with an ADC which converts the analog readings to digital, thus extracted digital data is processed using a microcontroller. The reference values of these three parameters and the phone number are stored in the microcontroller memory. If anyone of these three parameter exceeds the reference value, the microcontroller automatically calls the stored number. The microcontroller used here is PICI6F877 A, it has an inbuilt ADC and counters, and the counter is used to count heartbeat, respirator rate and ADC for converting analog temperature to digital.
Block diagram of proposed Drowsiness Alert Unit
Power Supply Unit Diagram