Abstract: In response to growing safety concerns and increasing accidents and traffic violations, our project offers an advanced solution that combines sensor-based technology, machine learning algorithms and GPS technology to create a powerful system to solve the accident and traffic problem. Violation of the law. The main aim of the project is to create an integrated system that will not only detect incidents in a timely manner, but also manage emergency responses and reduce their impact.
The proposed system uses state-of-the-art sensors to continuously monitor multiple vehicles and can detect anomalies that indicate an accident. Using machine learning algorithms, the system analyses this data to distinguish between driving behavior and situations that require intervention. The addition of GPS technology increases the accuracy of the system, provides accurate location information, and provides instant alerts to drivers and authorities.
The general purpose of the project is not only accident research; It aims to contribute positively to improving road safety, thus saving lives, and reducing industrial accidents and damage to the environment. The system's ability to quickly detect and react to traffic violations also plays an important role in improving overall road discipline and reducing the risk of accidents.
This demonstration aims to investigate the effectiveness of GPS-based collision avoidance, providing a better path to road safety. This innovation, which meets the need to be more efficient in accident and crime investigations, is not only based on modern technology, but also has a social and environmental purpose, being an important step towards safety and better transportation.
The system integrates GPS data collection, vehicle speed monitoring, slope detection and other functions to instantly detect and react to situations. Geo-integration and Google Maps integration improve accuracy and user experience. Machine learning algorithms can identify the situation and trigger SMS alerts and alerts for quick response.
Audio output and LCD screen provide immediate warning to the driver and impress the user. The system's cost efficiency, reliability and scalability allow it to adapt to different vehicles. Live monitoring provides instant feedback, while coordinated emergency response minimizes the impact of an incident. As a result, this new solution uses advanced technology to create a social, simple, efficient and effective crime prevention system and ultimately improve the safe road.
Keywords: Vehicle safety, CNN, yolo, GSM, CCTV, Blind spot detection, ADXL, ADAS.
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DOI:
10.17148/IJARCCE.2024.134134
