fume-analysis-image-processing

Fume Analysis is a key check used by mining engineers while blasting. It focuses on checking specific fumes which are toxic in nature, This is a image processing / computer vision approach to filter and find percentage of these toxic fumes based on colors

This is a standard usecase and can be used to filter any moving object in a stabilised camera with consistent camera position.

Following is a series of snap showing the three phases (Raw | Background Subtraction | Harmful Fume Subtraction)

1. Python3.7
2. If Docker Approach is selcted:
   1. Docker
   2. Docker Compose

The program can run in either of the two following ways:

1. Running the python file directly by passing the video url with the python file:

   pip install -r requirements.txt
   

   python fume_detect_extract_classify.py --vid {vid_path}
   

2. I've also made it as a complete dockerized server with proper authentication. Following is the way to run the dockerized version:

   cd dockerized_flask_container
   

   sudo docker-compose build
   

   sudo docker-compose up
   

Resource Chart for Rest API:

Resources	URL	Method	Param	Status	Param Body type
Register	/register	post	uname, pass	200 OK, 301 username already exist	JSON
Classify	/classify	post	uname, pass, video_file	200 OK, 301, 302 Incorrect id or pass, 303 Out of token, 304 Invalid input	Form

Database.ini:

I have used a public database but you can replace it with your credentials in the web/req_files/database.ini file