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iothings:proiecte:2021:doorsmartlock [2022/01/24 20:24] mihai_florin.neacsu [Opening/Closing the lock] |
iothings:proiecte:2021:doorsmartlock [2022/01/27 20:06] (current) mihai_florin.neacsu [ANEX] |
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| ===== Android ===== | ===== Android ===== | ||
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| + | {{:iothings:proiecte:2021:smartlock_android_app.png?200 |}} | ||
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| The android application must be able to open/close the electromagnetic lock using two buttons. As a security measure, the lock can be opened only by the owner's face. | The android application must be able to open/close the electromagnetic lock using two buttons. As a security measure, the lock can be opened only by the owner's face. | ||
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| The distance chosen is the Euclidean distance. Formula for Euclidean distance is as follows: {{:iothings:proiecte:2021:smartlock_euclidean_distance.png?100|}} , where **p**, **q** = two points in Euclidean n-space, **pi**, **qi** = Euclidean vectors, starting from the origin of the space (initial point) and **n** = n-space. | The distance chosen is the Euclidean distance. Formula for Euclidean distance is as follows: {{:iothings:proiecte:2021:smartlock_euclidean_distance.png?100|}} , where **p**, **q** = two points in Euclidean n-space, **pi**, **qi** = Euclidean vectors, starting from the origin of the space (initial point) and **n** = n-space. | ||
| + | The application has 3 buttons: | ||
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| + | * One button for setting up the face of the 'Owner' | ||
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| + | * One button for opening the lock by the 'User' (comparing the face of the user with the face of the owner) | ||
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| + | * One button for closing the lock | ||
| ==== Sending HTTP requests ==== | ==== Sending HTTP requests ==== | ||
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| ====== Conclusions ====== | ====== Conclusions ====== | ||
| + | In conclusion the ESP32 board it is a very good development board for IOT projects, having Bluetooth and Wi-Fi support it can be easily connected to an Webpage or an android application. | ||
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| + | Using a face recognition method for securing the lock raises some issues: | ||
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| + | * 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). | ||
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| + | * 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. | ||
| ====== Bibliography ====== | ====== Bibliography ====== | ||
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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 | ||
