Ashwath0102/Violence-Detection-and-Categorization
Deeply Supervised Practical Implementation of Violence Detection from Videos for Maximizing Performance
This project helps security personnel and surveillance teams automatically identify violent incidents from security camera footage. It takes video streams as input and classifies events into categories like arrest, assault, arson, or abuse, alerting users to specific types of violent actions. Security operations managers, public safety officers, and facility managers would use this tool to enhance monitoring.
No commits in the last 6 months.
Use this if you need an automated system to detect and categorize specific violent acts from surveillance video, reducing the need for constant human monitoring.
Not ideal if your surveillance footage often has poor visibility, as the system relies on clear video input for accurate detection.
Stars
9
Forks
7
Language
Jupyter Notebook
License
—
Category
Last pushed
May 24, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Ashwath0102/Violence-Detection-and-Categorization"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
wondonghyeon/protest-detection-violence-estimation
Implementation of the model used in the paper Protest Activity Detection and Perceived Violence...
chandran-jr/Violence-Alert-System
🎦A violence detector using MobileNetV2 pretrained model and image enhancement algorithms and...
sukhitashvili/violence-detection
Deep learning based algorithm which is capable of detecting violence in indoor or outdoor...
shreyash2610/Convolutional-Long-Short-Term-Memory-based-IOT-node-for-Violence-Detection
Abstract— Violence detection has been investigated extensively in the literature. Recently, IOT...
Jawabreh0/gun-detection
Basic gun detection algorithm, designed using YOLOv7 with AR-15 guns training data