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iothings:proiecte:2021:doorsmartlock [2022/01/25 21:53] mihai_florin.neacsu [Conclusions] |
iothings:proiecte:2021:doorsmartlock [2022/01/27 20:06] (current) mihai_florin.neacsu [ANEX] |
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| Using a face recognition method for securing the lock raises some issues: | Using a face recognition method for securing the lock raises some issues: | ||
| - | * ItemBecause the embedded device is not as powerful as a personal computer, the convolutional neural network that is going to be used must be pre-trained (otherwise the training will take a lot of time). | + | * Because the embedded device is not as powerful as a personal computer, the convolutional neural network that is going to be used must be pre-trained (otherwise the training will take a lot of time). |
| * Finding the face in the image, because even on a portrait image, there is still the background/clothes which do not give any relevant characteristic of the face. | * Finding the face in the image, because even on a portrait image, there is still the background/clothes which do not give any relevant characteristic of the face. | ||
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| [4] https://developers.google.com/machine-learning/crash-course/embeddings/video-lecture, //Embeddings//, 24.01.22 | [4] https://developers.google.com/machine-learning/crash-course/embeddings/video-lecture, //Embeddings//, 24.01.22 | ||
| + | ====== ANEX ====== | ||
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| + | Code: https://gitlab.com/neacsumihaiflorin/smart-lock-using-esp32 | ||
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| + | Demo: https://www.youtube.com/watch?v=qgijS8pG4ec | ||
