Restricted Zone Monitoring System

Detection of "objects" in a user definable/customizable Region Of Interest.

Description

This project is a full stack application made from Reactjs(Front-End), Flask_API(MiddleWare), and a database of your choice. The application is built to detect "objects" in a virtually created "Region Of Interest" by the user, which is also cuztomizable for future purposes.

Front_End:

• User can create a ROI of their preference in a frame extracted from the Video_feed.

Back_End:

The Processed Frame

Black bg




White bg

The ROI

Detection:

Output

Getting Started

Dependencies

• ReactJS
• Flask
• Axios
• KonvaJS
• React-Router-dom
• styled-components
• react-router
• OpenCv
• flask_cors
• imutils
• numpy

Installing

• Create a react-app using npx create-react-app my-app.
• Make a Virtual Environment for executing python files.
• Run the following command pip install -r requirements.txt

Executing program

• Navigate to Roi/src
• Execute npm start --open
• Execute python roi.py
• Navigate to /Konva on the web-application

Help

• Create a Virtual Environment while executing the python code for minimizing environmental errors.
• Make sure the right packages and its versions are installed.

Authors

Harshavardhan Jothi Kumar

LinkdIn : https://www.linkedin.com/in/harshavardhan-jothi-kumar-259ba8185/