Difference between revisions of "Smarter Door"
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== Challenges == | == Challenges == | ||
*Learning Python | *Learning Python | ||
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*Gaining familiarization with Twilio | *Gaining familiarization with Twilio | ||
*Security of user interface | *Security of user interface | ||
*Building a 3D casing for raspberry pi detector | *Building a 3D casing for raspberry pi detector | ||
| + | *Ensuring motion detector only signals to camera to take a picture when there is truly someone in front of the door rather than when people walk by or there is motion in the background | ||
== Security Concerns == | == Security Concerns == | ||
Revision as of 04:23, 25 March 2019
Contents
Link to Log
Proposal Presentation
Proposal Presentation
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.
Goals
- Photograph anyone who tries to open door
- Recognize owner from an uploaded photo collection
- Text owner if unrecognized face is seen
- Respond to owner's text with security light
- Design plastic housing to make unit presentable
The goal of this project is to build a facial recognition security system for a door. The system will increase security by taking a picture of anyone who tries to open the door. If the person is not recognized by the system, a text will be sent to the user informing him/her that someone has tried to open the door. If the user does not recognize the person in the picture, they can respond via text and a security light will go on. This light should discourage people from trying to open a random door, and it also indicates to law enforcement that someone unknown has tried to enter the door.
Gantt Chart
Challenges
- Learning Python
- Gaining familiarization with Twilio
- Security of user interface
- Building a 3D casing for raspberry pi detector
- Ensuring motion detector only signals to camera to take a picture when there is truly someone in front of the door rather than when people walk by or there is motion in the background
Security Concerns
- Who can upload a picture to be recognized
- Who receives the text from the Raspberry Pi
- Who can text the Raspberry Pi
Budget
- Raspberry Pi: provided ($35)
- Raspberry Pi Camera: provided ($12)
- Infrared PIR motion Sensor: ($12) (https://www.adafruit.com/product/189?gclid=CjwKCAiAqaTjBRAdEiwAOdx9xo34FxU9DTSkwjdc8BoTUGuFJe6SMUgkO7Ussy_YMhy5Z-2xehN72xoCVYsQAvD_BwE)
- Twilio Messaging ($10)
- Amazon Web Services Recognition: ($5)
- 3D Printing software and materials: ($10)
- OpenCV facial recognition programs: Free
- Small breadboard ($6)
- a LED
- a 330 ohm resistor
Total: $90
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.
Learning Raspberry Pi
- Made blinking LED
