Suspicious Activity Detection from CCTV Footage
A fight detection system made with Python looks at videos to see if there’s a fight happening. It uses special tricks to understand what’s going on, like how things move and change in the video. This helps it tell the difference between normal stuff and fights. By using tools like OpenCV and scikit-learn, programmers make sure the system can understand videos and learn from them. The goal is to help keep places safe by spotting fights quickly. These systems are getting better all the time, making it easier to keep an eye on what’s happening in videos and keep people safe.
Advantages of Violence Detection Intelligent Video Surveillance using Python :-
1. Safety Boost: Helps keep places safe by spotting fights early.
2. Alerts: Notifies people when a fight is detected, prompting quick action.
3. Speedy Response: Security teams can react faster to dangerous situations.
4. Reduced Stress:People don’t need to watch videos all the time; the system does it for them.
5. Enhanced Monitoring:Keeps watch over places where constant human surveillance is difficult.
6. Prevention: Sometimes stops fights from getting worse by catching them early.
Project Working of Real Time Violence Detection System:-
Violence / Fight Detection System using Machine Learning this project developed using python programming language and graphical user interface designed using tkinter. This project will detect and recognize the violence in input video. Model is trained on large dataset of different activities that contains videos. It will recognize the human activity recognition and it will send alert message to registered mobile number. Machine learning is used to train model and dataset is downloaded from kaggle. Model can be integrated with software or web interface.
Real-time Violence Detection using Deep Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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