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Smart Lock Cam project by Yeshake, Vedant, Toumani and, Olumide. We use the raspberry pi cam to recognise whenever a person is wearing a tie, takes a picture, saves it to a web server and turns a servo to open the door for them. After a few seconds, the door locks. To use this code, install tensorflow and opencv on the raspberry pi.

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ybahita2/SmartLockCam-

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VIDEO DEMO

[Video Link] This is a link to the a Video Showing how it works (https://drive.google.com/open?id=1YCcj1ZsCeDszo0KlHR4uz9E0vCYwxVtv)

PICTURE OF THE HARDAWARE

IMG_2418

TensorFlow Models

This repository contains a number of different models implemented in TensorFlow:

The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here.

The research models are a large collection of models implemented in TensorFlow by researchers. They are not officially supported or available in release branches; it is up to the individual researchers to maintain the models and/or provide support on issues and pull requests.

The samples folder contains code snippets and smaller models that demonstrate features of TensorFlow, including code presented in various blog posts.

The tutorials folder is a collection of models described in the TensorFlow tutorials.

Contribution guidelines

If you want to contribute to models, be sure to review the contribution guidelines.

License

Apache License 2.0

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Smart Lock Cam project by Yeshake, Vedant, Toumani and, Olumide. We use the raspberry pi cam to recognise whenever a person is wearing a tie, takes a picture, saves it to a web server and turns a servo to open the door for them. After a few seconds, the door locks. To use this code, install tensorflow and opencv on the raspberry pi.

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