The number of road accidents is going up fast and this is a big problem. We need systems that can detect accidents away and help people get medical care quickly. The old way of reporting accidents and dealing with insurance claims is slow. Relies too much on people doing things by hand. This can lead to people not getting help on time a lot of paperwork and fake insurance claims. Most systems that try to make vehicles safer only focus on tracking where they’re navigating but they do not have a way to automatically check if an accident really happened and start the insurance claim process. This paper is about a system that uses Artificial Intelligence to detect vehicle accidents and automatically start the insurance claim process. This system combines sensors that are connected to the internet Global Positioning System tracking and Machine Learning algorithms to detect accidents away and automate what happens after an accident. The system is always checking how the vehicle is moving, looking for things like an impact the vehicle tilting in a weird way or a lot of vibration. If the system detects a collision it sends out real-time alerts with the location to people who need to know, like emergency contacts healthcare services, the police and insurance companies. The system uses Machine Learning to look at the patterns, from the sensors and make sure the accident really happened, which allows it to automatically start the insurance claim process and give an idea of how much damage was done. This system helps get people help faster reduces the amount of paperwork makes everything more transparent and prevents claims. We tested the system. Found that it can detect accidents reliably communicate with emergency services quickly and process claims efficiently. This system shows that Artificial Intelligence and the Internet of Things can be used to create vehicle safety systems that’re smart, responsive and secure.
Kavitha et al. (Tue,) studied this question.