Smart City Gnosys
Smart city article details
| Title | Driver Drowsiness Alert System Using Real-Time Detection |
|---|---|
| ID_Doc | 21015 |
| Authors | Mridha K.; Shaw R.N.; Kumar D.; Ghosh A. |
| Year | 2022 |
| Published | Studies in Computational Intelligence, 1002 |
| DOI | http://dx.doi.org/10.1007/978-981-16-7498-3_5 |
| Abstract | Modern civilization is migrating toward Smart cities, which use sophisticated technologies such as IoT, artificial intelligence, cloud computing, blockchain, and others to improve the quality of life for their citizens in areas such as transportation, traffic management, environment, government interaction, and even the local economy. Maintaining a system is necessary for a time-saving life because of the comfortable lifestyle and digital security. For instance, we must be concerned about the daily road accidents by automobiles to achieve the security required to construct a smart city. Every year, hundreds of people are killed in car accidents around the world as a result of drowsy drivers. This information emphasizes the importance of a sleep sensor application in preventing such tragedies and, ultimately, saving lives. To address this challenge, we offer a unique intensive learning strategy based on neutral neural networks (CNN). The goal of the chapter is to create a working prototype of a sleepiness detection system that can help to make a smart city. The technology works by keeping an eye on the driver's eyes and sounding the warning while it dries. The system is a non-intrusive real-time control system. The main goal is to improve motorist safety without causing any disruption. The driver’s eyelid is identified in this experiment. When a motorist’s eyes are closed for a long time, the driver is regarded indifferent, and an alert sound. To detect facial features, the Haar Cascade library is utilized, and programming is done in OpenCV. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
| Author Keywords | Alarm; CNN; Detection system; Drowsy; Eyes; OpenCV |
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