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.pyfile.

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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