The objective of the project is to detect cylinder from a video or a live video stream. This Repository contains the source code file and an output video of the Cylinder Detection Problem.
This model can be intigrated with other Computer Vision based systems to check for Defects, Lekage, damage etc in a gas cylinder preventing accidents.
It can be used at Cylinder Reffiling Centers to inspect the cylinder along with refilling.
The model is trained to detect cylinder by applying Transfer Learning on a pre-trained object detection model downloaded Tensorflow Model Zoo.
To test out the model, you can download the new.ipynb file and run it on Collab or Jupyter Notebook provided you have a video of cylinder 😁.