Real-Time-Violence-Detection-with-raspberry-pi
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projectRVD
projectRVD
Realtime Violence Detection with Raspberry-pi
Project RVD : Realtime Violence Detection with Raspberry Pi
- Client: J.Oh
- Starts at: 2021/04/08
- Ends at: 2021/05/17
- Members: Sukwang Lee, Hyewon Rho, Jeonghun Park, Jimin Chae, Yeong-Min Choi
Introduction
- Violence detection by using MobileNet + LSTM (Binary classification : Violence / Non-Violence)
- Add captions of violence dection result on video screen (video file or realtime video streaming) >> Fast Link
- Using Raspberry Pi & camera module for realtime video streaming >> Fast Link
Environment
- Linux OS
- Python ≥ 3.8
- OpenCV ≥ 4
- Tensorflow ≥ 2.4.0
- Keras 2.4.0
Tools
- Jupyterlab ≥ 3.0
- Pycharm ≥ 2
- Raspberry Pi +3
- Camera Module
Result
Examples
Change of Accuracy & Loss of Model
- Result Log : View Table
Reference
Datasets
- RWF2000 : https://github.com/mchengny/RWF2000-Video-Database-for-Violence-Detection
- Hocky : http://visilab.etsii.uclm.es/personas/oscar/FightDetection/index.html
- raw.zip : https://github.com/niyazed/violence-video-classification
- cam1, cam2 : https://github.com/airtlab/A-Dataset-for-Automatic-Violence-Detection-in-Videos/tree/master/violence-detection-dataset/non-violent/cam1
- RVD : -
Examples
- UCF Anomaly Detection Datasets : https://webpages.uncc.edu/cchen62/dataset.html
- Those video files were used only for making output videos & GIFs.
projectRVD