| Ank-Cha/Social-Distancing-Analyser-COVID-19 |
405 |
|
0 |
0 |
almost 4 years ago |
0 |
|
9 |
other |
Python |
| A social distancing analyzer AI tool to regulate social distancing protocol using video surveillance of CCTV cameras and drones. Social Distancing Analyser to prevent COVID19 |
| pliablepixels/zmMagik |
153 |
|
0 |
0 |
about 5 years ago |
0 |
|
6 |
gpl-2.0 |
Python |
| Post processing video magic with ZoneMinder: find missing objects, blend multiple events, annotate videos, and more |
| harishrithish7/Fall-Detection |
144 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
gpl-3.0 |
Matlab |
| Human Fall Detection from CCTV camera feed |
| NakulLakhotia/Live-Streaming-using-OpenCV-Flask |
102 |
|
0 |
0 |
over 5 years ago |
0 |
|
|
|
Python |
| A Flask Web-App to stream live from local webcam or CCTV (rtsp link) |
| jeeliz/jeelizPupillometry |
88 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
apache-2.0 |
JavaScript |
| Real-time pupillometry in the web browser using a 4K webcam video feed processed by this WebGL/Javascript library. 2 demo experiments are included. |
| OlafenwaMoses/DeepStack_ExDark |
53 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
mit |
Python |
| A DeepStack custom model for detecting common objects in dark/night images and videos. |
| rohanrao619/Social_Distancing_with_AI |
46 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage. |
| sakibreza/Traffic-Rules-Violation-Detection-System |
37 |
|
0 |
0 |
almost 3 years ago |
0 |
|
4 |
gpl-3.0 |
Python |
| An Image Processing and Computer Vision based traffic rules violation detection system from CCTV camera footage (including GUI App). |
| khaledsabry97/Argus |
27 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Python |
| [IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that detects road accidents and reports them in real-time as well as allowing the monitoring of accidents using a client server architecture and an interactive GUI. |
| AsRaNi1/live-cctv |
24 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
Python |
| To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process. |
