IoT Based Speed Control and Accident Avoidance Using Black Box

The system employs various sensors and advanced algorithms to lessen traffic hazards. Onboard sensors like GPS, accelerometers, gyroscopes, and proximity sensors track vehicle data in real-time. This data is analyzed locally or sent to a central unit for further processing. Sophisticated computers assess the data to anticipate collision risks, predict dangers, and recommend safe speeds. Proactive measures, like automated speed adjustments and collision avoidance, are taken when hazards are detected. Communication technologies such as V2X facilitate real-time data sharing between infrastructure and vehicles, enhancing situational awareness and collaborative decision-making. A black box records crucial data for accident investigation and performance analysis. Machine learning algorithms continuously improve system functionality based on real-world data. Due to the usage of black box, the data which has been collected will sent to nearly located base station, police station, hospital, or home along with latitude and longitude of the vehicle’s location.