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https://github.com/amhsirak/human-monitoring-system
Real-time human detection, tracking and counting using MobileNet SSD
https://github.com/amhsirak/human-monitoring-system
computer-vision deep-learning footfall-analysis image-processing mobilenet-ssd opencv python
Last synced: about 2 months ago
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Real-time human detection, tracking and counting using MobileNet SSD
- Host: GitHub
- URL: https://github.com/amhsirak/human-monitoring-system
- Owner: amhsirak
- Created: 2021-10-04T03:30:32.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-04-19T15:09:24.000Z (over 2 years ago)
- Last Synced: 2024-04-08T04:39:32.335Z (9 months ago)
- Topics: computer-vision, deep-learning, footfall-analysis, image-processing, mobilenet-ssd, opencv, python
- Language: Python
- Homepage:
- Size: 56.6 MB
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Human Monitoring System
Real-time human detection, tracking and counting using MobileNet SSD and Centroid Tracking.
- **Use case:** Counting the number of people in stores/buildings/shopping malls etc., in real-time.
- Sending an alert to the staff if the people are way over the limit.
- Automating features and optimising real-time stream for better performance (with threading).
- Acts as a measure towards footfall analysis.
- Compatible with IP cameras and web cameras.
## Results
## Features
- **Real Time Alert:** If selected, an email alert in real-time is sent.
- **Scheduler:** Automatic scheduler to run the software at your desired time.
- **Timer:** To stop the software after a certain time.
- **Simple Log Maintainer:** Logs all data at end of the day with information including time and number of people.
- **Threading:** Removes OpenCV's internal buffer and thus reduces lag/increases fps in real-time stream.
All these features can be easily turned on/off in `lib/config.py`file.
## Screenshots
### Email Alert
### Simple Log
## How To Use
- Install all dependencies
```
pip install -r requirements.txt
```
- To run on a test video file
```
python main.py --prototxt mobilenet_ssd/MobileNetSSD_deploy.prototxt --model mobilenet_ssd/MobileNetSSD_deploy.caffemodel --input videos/example.mp4
```
- To run on IP camera / Web camera
For web camera, set `url = 0`
```
python main.py --prototxt mobilenet_ssd/MobileNetSSD_deploy.prototxt --model mobilenet_ssd/MobileNetSSD_deploy.caffemodel
```
## Run On Your Local Machine
- Fork the repository
- Clone the repository
```
git clone https://github.com/karishmashuklaa/human-monitoring-system.git
```
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