Difference between revisions of "Smarter Door"
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*3D Printing software and materials: Free | *3D Printing software and materials: Free | ||
*OpenCV facial recognition programs: Free | *OpenCV facial recognition programs: Free | ||
| + | *Small breadboard | ||
| + | *a LED | ||
| + | *a 330 ohm resistor | ||
== Why this project? == | == Why this project? == | ||
Revision as of 20:18, 1 February 2019
Contents
Link to Log
Team Members
- Jonathan Strek
- Katie Cardwell
- Andrew Koltz
- Ethan Shry (TA)
- Professor Feher
Overview
We are building a door security system that sends the user a picture when an unknown person tries to open the door. The user will receive a text and be able to interact with the door by responding over text. Our security system includes a red light that illuminates when the user says the visitor is not welcome, or when the user has not authorized entry after a set period of time.
Goal
Gantt Chart
Challenges
- Learning Python
- Learning SQL
- Gaining familiarization with Twilio
- Security of user interface
- Building a 3D casing for raspberry pi detector
Budget
- Raspberry Pi: $35
- Raspberry Pi Camera: $40
- Raspberry Pi Camera Cable:
- Infrared PIR motion Sensor: $12
- Amazon Web Services Recognition: Free basic tier services
- 3D Printing software and materials: Free
- OpenCV facial recognition programs: Free
- Small breadboard
- a LED
- a 330 ohm resistor
Why this project?
Security in dorms or houses is always a concern, and we hope to alleviate such worries. The increase in dependence on online retailing means more strangers than ever are using your address to find your place of residence. With Smarter Door you will not have to worry about who is at the door. Dorms can also be safer as a red light outside of a dorm will be a sign that an RA or even WUPD should be called.
