Jayesh Subhan, S and Navaneethakrishnan, A and Avinash., T and Thirumal., S (2022) Driver’s Safety Management System for Commercial Purposes using IoT. In: 2022 7th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India.
Full text not available from this repository. (Request a copy)Abstract
A low-cost and simple distributed sensors model that is particularly suitable for measuring eye blink of the driver, accident and hand position on a steering wheel. These sensors can be used in automotive active safety systems that aim at detecting driver’s fatigue, a major issue to prevent road accidents. The key point of this approach is to design a prototype of sensor units, so that it can serve as platform for integrating different kinds of sensors into the steering wheel. Since the sensors are attached to the steering wheel, therefore they can’t be detached by the driver. It will also detect dangerous stylish driving which may lead to fatal accidents. To avoid the accidents made by drivers during drowsiness the eye blinker system gets notified and buzzer get alert to the driver who driving. And helps to wake the driver to concentrate in his ride to avoid accident. And the alcohol detector uses to detect the driver who drunk and drive the car to avoid accident the sensor is more usable and after the detection of the alcohol consumed by the driver the car steering get vibrated and intimate the driver to sudden stop to avoid accident zone. And the GPM and GPRS sensor used to send the alcohol consumed to the owner of the car and to take action immediately. And drivers like UBER, OLA acting drivers can be cautious to drive the vehicle and make more comfortable to the passenger
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Computer Science Engineering > Big Data |
Divisions: | Computer Science Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 23 Sep 2024 07:13 |
Last Modified: | 23 Sep 2024 07:13 |
URI: | https://ir.vistas.ac.in/id/eprint/6899 |