Project Scope

The purpose of this project is to further solidify my knowledge on video processing using Computer Vision and interactive visualisation using Bokeh.

Project Methodology

1. Check if the camera works, when camera turns on it captures the first frame as reference
2. Refreshes frame every 1 ms
3. Creates a Gray Frame and makes frame blury to make it insensitive to small changes
4. Creates a Delta Frame which calculates the difference in first frame and all following frame
5. Creates a Thershold Frame which determines when the difference in first frame and following frame is more than 30 using cv2.THRESH_BINARY

6. For every changes it detects, creates a green rectangular using cv2.rectangle

7. Tracks every changes in motion from Threshold Frame, plot a barchart using Bokeh

8. Press q to exit

Project Respository Files

Capture.py

A python file consisting the codes for video processing

Graph1.html

An HTML file consisting the code needed to load Bokeh Graph to browser

Plotting.py

A ptython file consisting the codes for data visualisation

Times.csv

A CSV file that tracks the start and end time when motion is detected

Project Instruction

1. Download all the files in this repository
2. Run Plotting.py
3. Press q when finished