Next-generation Crime Detection System - KVH 009

Описание: The proposed idea involves the creation of an AI-based vision system that utilizes live CCTV feeds to monitor the environment in real-time. The system aims to detect and alert police headquarters about any potential incidents related to women harassment, street crime, violence, theft, and unwanted male following.

To achieve this, the system will capture image data from the environment through the CCTV and feed it to deep learning models. These models include several techniques such as emotion detection, gender identification, violence detection, distance identification, and facial recognition for fetching person details from the database. The system will use popular algorithms such as K-NN, R-CNN, and YOLO for classification purposes.

The AI-based system will analyze the captured data, identify any suspicious activity or individuals, and classify the incidents based on the algorithm used. Once an incident is detected, the system will automatically alert the nearest police headquarters. This will help to ensure that the police respond promptly and efficiently to any potential threat or criminal activity.

Moreover, the system will store crime data for future use. This data can be used to understand crime patterns, create better crime prevention strategies, and improve public safety. With this system in place, there will be an automated, real-time, and efficient crime detection and prevention system, enhancing public safety and reducing crime rates.