Completed a python project, started as interest but completed as an academic project.

smart surveillance system for museum

Requirements
To run this you need a CUDA enabled GPU on your computer. (Highly recommended)
It will also run on computers without GPU i.e. it will run on your processor giving you very poor FPS(around 0.6 to 1FPS), you can use AWS too.
About the project
One needs to collect lots of images of the artifacts or objects for training the model.
Once the training is done you can simply use the model by editing the 'options' in webcam files and labels of your object.

Features
It continuously tracks the artifact.
Alarm triggers when artifact goes missing from the feed.
It marks the location where it was last seen.
Captures the face from the feed of suspects.
Alarm triggering when artifact is disturbed from original position.
Multiple feed tracking(If artifact goes missing from feed 1 due to occlusion a false alarm won't be triggered since it looks for the artifact in the other feeds)

Project link https://github.com/globefire/...

Demo link
https://youtu.be/I3j_2NcZQds