GitHub Repository

This project implements a real-time detection system to identify potentially dangerous stabbing movements using advanced computer vision and machine learning techniques.

0 starsPython

Real-time violent action detection using computer vision

Name: Real-time violent action detection using computer vision
Availability: InStock
Author: iraton

by iraton·Mar 9, 2026·2 points·1 comment

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AI Analysis

●MidBold Bet

Standard YOLO + LSTM pipeline for violence detection, nothing novel beyond the specific use case.

Strengths

•Multi-stage pipeline combines object detection, pose estimation, and temporal sequence analysis for context.
•Frame skipping logic maintains LSTM input buffer while reducing compute for real-time performance.
•Fine-tuned YOLO model specifically trained on custom knife detection dataset for higher precision.

Weaknesses

•Zero stars, zero forks indicates very early stage with no community validation or production use.
•Violence detection via CV is well-researched; this implements known patterns without novel contributions.