Abstract
This paper is aimed at preventing car accidents by managing four significant aspects related to car drivers. Firstly, it has been observed that 10–30% of road accidents are related to drowsiness of the drivers mainly at night or at drunken state. Detecting the drowsiness in drivers and alerting him can improve the safety on roads. The system could also measure alcohol molecules in driver’s breath and automatically halt the car if the legal drinking limit is exceeded. Secondly, accidents occur due to medical emergency conditions of the drivers. A system that continuously monitors the health of drivers can effectively reduce accidents. Thirdly, the designed system would continuously monitor the distance of the vehicle from obstacle by the use of Light Detection and Ranging (LIDAR). The LIDAR upon detection of the obstacle would warn the driver as well as decrease the speed of the vehicle and will stop the vehicle when reaches a certain distance of the obstacle by actuating the braking system and ignition system. Fourthly, the system would also monitor lane changing to assist drivers to ensure that their vehicles are within lane constraints when driving, so as to make sure traffic is smooth and minimize chances of collisions with other cars in nearby lanes. We propose to implement the system using microcontroller and a few numbers of desired heartbeat, ultrasonic and breathe-based sensors to detect irregular heartbeat in case of medical emergency of the driver, alcohol content of the driver and distance of the vehicle from the obstacle, respectively. For brain activity, we have designed an artificial neural network model on field-programmable gate array (FPGA) to detect drowsiness of the driver. The initial phase of the research work has been conducted in the laboratory environment where all the electronics circuit with sensors and microcontroller have been built up and tested at the laboratory environment on human subjects. In the second phase, the electronic circuits were integrated into the car. The testing of the project has been performed in a controlled environment at workshop. Results show the efficiency and benefit of the proposed research work.
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Chakraborty, M., Chattopadhyay, A.K. (2020). Microcontroller-Based Automotive Control System Employing Real-Time Health Monitoring of Drivers to Avoid Road Accidents. In: Chakraborty, M., Chakrabarti, S., Balas, V. (eds) Proceedings of International Ethical Hacking Conference 2019. eHaCON 2019. Advances in Intelligent Systems and Computing, vol 1065. Springer, Singapore. https://doi.org/10.1007/978-981-15-0361-0_12
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DOI: https://doi.org/10.1007/978-981-15-0361-0_12
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