Problem Statement:
In urban settings such as crowded areas, public transit hubs, commercial areas, etc., public altercations like fights and disruptions are a major concern and significant safety risk. These accidents/fights can lead to property damages, physical injuries and even prove fatal in extreme cases if there is no intervention. Traditional systems mostly rely on human intervention which is not effective as these fights tend to escalate rapidly. There is a pressing need to resolve this issue by incorporating intelligent Accident Detection technology which can detect, analyze and respond to accidents in real-time, thus proactively providing a safer environment

Solution:
The solution lies in implementing cutting-edge AI-powered technology to curb accidents/fights. By incorporating smart IoT devices and training AI algorithms, we can create a network which is well integrated, and responds to any accident in real-time using Computer Vision and Pattern Recognition. This intelligent system is also capable of generating automatic alerts to security personnel or concerned authorities for any proactive active that needs to be taken in order to ensure a safer community.

Aimpact Value:

1. Real-Time Surveillance – Real-time feedback from IoT devices for fast response
2. Pattern Recognition – Image analysis to detect anomalies
3. Crowd Monitoring – Detection and analysis of abnormal crowd sizes
4. Automated Alerts – Prompt alerts in case of anomalies
5. Highly Scalable – Comprehensive surveillance coverage

Industries:

1. Travel & Logistics
2. Healthcare
3. Public Services