An Intelligent IoT Solution with Real-Time Monitoring for Road Safety

Driver drowsiness is the major reason for accidents, as per the research conducted all over India in October 2023. Paper introduces an innovative IoT solution aimed at combating accidents resulting from drowsy driving. Leveraging Raspberry Pi, alcohol sensor, GPS, ultrasonic sensor, ADC, WiFi, and IoT connectivity enables real-time monitoring. Central to its functionality is the integration of Convolution Neural Network (CNN) algorithms for accurate drowsiness detection. The Raspberry Pi serves as the central processing unit, coordinating data collection and analysis from multiple sensors. The alcohol sensor detects alcohol levels, while the ultrasonic sensor identifies obstacles on the road. GPS technology tracks the vehicle’s location, aiding navigation and emergency response. ADC ensures precise sensor measurements. WiFi and IoT connectivity enable seamless data transfer to remote servers for analysis. IoT provides timely alerts to prevent accidents caused by drowsy driving. Behavioral features are non intrusive and is used for monitoring the driver. Analysis of data dumped in the server aims to refine algorithms, improve accuracy, and enhance effectiveness in preventing accidents by using the dataset for training of deep learning algorithm, ensuring continuous optimization of the system. For accident prevention, once the drowsiness is detected in the server, speed control of the vehicle and informing relatives via IoT can be considered as future work.