Determination of the Level or Volume of Sugarcane Bagasse using Image Processing

📚 Libraries (requirements.txt)

• certifi==2020.6.20
• numpy==1.19.2
• opencv-contrib-python==4.4.0.44
• opencv-python==4.4.0.44
• wincertstore==0.2

Install the libraries needed for this work:

    { pip install -r requirements.txt }        

✔️ Run First Steps

1. Clone repository

Clone this repository from Github.

2. Detect level

2.1 Command to detect coins Brazilian Real:

    { python main.py }

2.2 Command to detect coins Dollar:

    { python main.py -o dollar }

3. Result images above

Visor

Camera installed

Steps : a) BGR image. b) BGR to Gray. c) Detect circle with hough transform. d) Remove noises with medianBlur. e) Crop the center circle. f) Binary image.

Result: 0% Level

Result: 50.65% Level

Result: 78.10% Level

Result: 100% Level

See the video no Youtube.

Result in real time: