Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 7 | Non-Intrusive Smart Unlocking Mechanism for College Dormitory Rooms |
Arnav Mehta Raghav Pramod Murthy Yuhao Cheng |
John Li | design_document1.pdf final_paper3.pdf grading_sheet1.pdf other1.pdf proposal1.pdf video |
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| # Non-Intrusive Smart Unlocking Mechanism for College Dormitory Rooms Team Members: Raghav Pramod Murthy (raghavp4)\ Arnav Mehta (arnavm7)\ Yuhao Cheng (yuhaoc7) # Problem Many college students living in dorms frequently face the problem of forgetting their keys. For many students, it’s their first time having to manage keys to get into their rooms, and with busy schedules, it’s very easy to forget or even misplace them. This can create a huge hassle. While some systems, like facial recognition systems, can bypass the standard key-lock system, they are not feasible to install on the college dorm doors; they need to be drilled into the interior of doors, which is costly. Other forms of authentication, such as voice recognition, are not easy to add either. This brings us to a more practical and non-intrusive solution: a lock/unlocking mechanism that does not modify the internal locking system of the door. Almost all door locks can be unlocked through the rotation of some exterior component of the door like the lock or the handle. This naturally leads us to explore a solution geared towards a flexible rotation system that can more easily integrate with existing door locks. # Solution We propose a portable system that turns the lock on the door (similar to how a person on the inside of the door would manually turn it to let someone in). This non-intrusive unlocking mechanism will be portable and transferable – it can be easily removed from one door and put onto another. The user attempting to access a room would scan their face on an app, and make a sound for 5 seconds (picked up by a microphone on the cellphone) to initiate voice authentication. The authentication would occur in the backend. If the face and the voice match a face and voice that has been previously registered on the app, the web app will send a signal to the microcontroller to initiate the unlocking process. The user will also be able to register other faces and voices (for example for their roommate) to allow multiple people to use this unlocking system. An important note is that this entire unlocking system will not interfere with manual unlocking with a key. # Solution Components ## Subsystem 1: Turning Mechanism This will be the component that physically turns the lock to unlock the door once it receives a signal. ESP32-S3 microcontroller chip\ DRV8825 Stepper Motor Driver\ Stepper Motor: STEPPERONLINE Nema 17 Stepper Motor Bipolar 2A\ Custom PCB\ LM1117-2.5 Voltage Regulator\ 12 V Battery\ Flexible Steel Cable to turn the handle ## Subsystem 2: Facial recognition + Voice Recognition app/User Interface for Authentication Function: Authenticate the user by scanning their faces and analyzing their voice Components: Android app\ Flask backend hosted in GCP\ Google Cloud speech-to-text + recognition API\ DeepFace open source model to compare faces\ MongoDB instance to store face data / voice data # Criterion For Success Unit Test Goals: 1. Desired accuracy of the facial recognition model: 95% (on large online dataset and around 20 of our own pairs of cellphone images) 2. Desired accuracy of the speech-to-text + recognition API model: 90% 3. Processing times (from when user submits voice and face to when the signal is sent to the PCB) under 5 seconds Functionality Goals: Portability/Transferability of Unlocking System: 1. We will achieve this goal if we can mount our contraption onto a door in under ten minutes. Facial Recognition + Voice Recognition: 1. We will achieve this goal if users who authenticate themselves (registering their face and voice), take a picture of themselves, and submit a voice sample can unlock the door without a key. 2. We will achieve this goal if an unauthorized user (a user who has not authenticated themselves with face and voice through the app) is unable to open the door. |
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