Project Details :
- This project is intended to use opencv and deep learning to tackle the problem of intruders entering a house.
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Whenever a new object(a human) is seen in the premises of my house the rpi detects it and sends images of the intuder in two to three batches depending on the distance between the intuder and the camera location to a web server via a POST Request.
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On the webserver a cnn is deployed that runs a python script on the image and returns a response of the probability of different classes in json format.
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The different clases are the different people's names that the cnn has been trained upon.
After KenJee showcased this project in this video, I should say that I started this project in 2019 but this project is in its initial stage.I have to get better at completing projects. I will start working on this idea soon as I am more capable of doing this project in coming months as I have learnt a lot since 2019.
Till then if you have a similar idea, then checkout this : https://github.com/DT42/BerryNet