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@article{206050,
        author = {Amitha D M and Abin Joseph and Saran das H and Vimal Krishna and Aswathy R},
        title = {SMART VEHICLE BLACKBOX USING IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {342-348},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206050},
        abstract = {The increasing number of road accidents caused by reckless driving, drunk driving, and delayed emergency response has become a major concern worldwide, leading to significant loss of life and property. To address these challenges, this paper presents the design and implementation of an IoT-based Smart Vehicle Monitoring and Black Box System using the ESP32 microcontroller. The proposed system continuously monitors the vehicle and driver by integrating multiple sensors and communication modules. A force sensor detects sudden impacts or collisions, while an MQ-3 alcohol sensor identifies the presence of alcohol to help prevent drunk driving. A GPS module provides the real-time location of the vehicle, and an ESP32-CAM records a short video clip of the accident event, including moments before and after the crash, providing visual evidence for emergency response and accident investigation. The ESP32 acts as the central controller, collecting data from all sensors and transmitting it to a cloud platform via Wi-Fi for real-time monitoring and secure storage. When an accident or abnormal condition is detected, the system automatically captures an image, retrieves the current GPS coordinates, and sends an emergency alert containing the accident location and other relevant information to predefined contacts or emergency services, thereby reducing rescue response time and improving the chances of saving lives. In addition, the recorded sensor data and captured images function as a digital vehicle black box, providing valuable evidence for accident investigation, insurance claim verification, and legal proceedings. The proposed system is cost-effective, reliable, energy-efficient, and scalable, making it suitable for both personal and commercial vehicles. By combining IoT technology, cloud connectivity, intelligent sensing, and real-time communication, the system enhances road safety, promotes responsible driving behavior, improves accident management, and contributes to the development of modern Intelligent Transportation Systems (ITS), offering an effective and practical solution for future smart transportation and vehicle safety applications.},
        keywords = {Internet of Things (IoT), Smart Vehicle Monitoring, Vehicle Black Box System, ESP32, ESP32-CAM, Force Sensor, MQ-3 Alcohol Sensor, GPS Tracking, Accident Detection, Emergency Alert System, Real-Time Monitoring, Cloud-Based Data Storage, Intelligent Transportation System (ITS), Driver Safety, Road Safety, Wireless Communication, Vehicle Tracking, Accident Analysis, Embedded Systems, Smart Transportation.},
        month = {July},
        }