Difference between revisions of "BetaDelta"
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===Data Upload=== | ===Data Upload=== | ||
| − | We developed entirely our own framework, using bits and pieces from tens of tutorials. Our code was two-pronged, including a first set that interpreted the input from the motion sensor and raspberry pi, and a second set that handled the upload of data, display, and communication between our server and database. | + | We developed entirely our own framework, using bits and pieces from tens of tutorials. Our code was two-pronged, including a first set that interpreted the input from the motion sensor and raspberry pi, and a second set that handled the upload of data, display, and communication between our server and database. The code we typed in the raspberry pi was with the python language. This code looked at whether any motion was sensed by the PIR sensor and based on the result of occupied or unoccupied would send the respective information to our database which was created with PickleDB. Then utilizing our ec-2 user, we got information from the database, and depending on what it told us we used a flask application to present if our simulated room was occupied or unoccupied. We then used our jinja2 html code to further redesign and make our website look nice. |
====Evolution==== | ====Evolution==== | ||
Revision as of 02:06, 2 May 2017
Contents
Overview
The purpose of BetaDelta is to provide real-time updates on the availability of a given study room. The information will be uploaded to a website, developed through Amazon Web Services, based on input from the BetaDelta device. The goal for the BetaDelta device is to detect occupancy via motion sensor, connected to a raspberry pi, and encased in a 3D printed shell.
Team Members
- James Tiffany
- Rebecca Smith
- Nial Alwash
- Nathan Schmetter (TA)
Objectives
Device
- Constructed with a raspberry pi and motion sensor
- Encased in a 3D printed shell
- Contain python code capable of processing input from the motion detector
Website
- Developed with Amazon Web Services
- Display updated room occupancy on any device that can access wifi
- Change colors based on occupancy (red for occupied, green for available)
Challenges
- Learn Python coding techniques
- Learn how to use CAD and 3D print
- Recreate circuit tutorials for motions sensor to raspberry pi connection
- Create our own framework for the server and website using Amazon Web Services
Budget
Gantt Chart
Engineered Solutions
3D Printing
First, we created a model of our design in CAD. Next, we printed a scaled-down version to see if the printer could handle its shape and intricacies. Then we printed our first to-scale version, and soon after printed our final version.
Evolution of 3D Models
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--> 
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Circuitry and Code
We found a tutorial online for how to connect the motion sensor to the raspberry pi, completed the circuit, and then edited a version of code we found online using a counter technique to accept input from the sensor.
Evolution
Data Upload
We developed entirely our own framework, using bits and pieces from tens of tutorials. Our code was two-pronged, including a first set that interpreted the input from the motion sensor and raspberry pi, and a second set that handled the upload of data, display, and communication between our server and database. The code we typed in the raspberry pi was with the python language. This code looked at whether any motion was sensed by the PIR sensor and based on the result of occupied or unoccupied would send the respective information to our database which was created with PickleDB. Then utilizing our ec-2 user, we got information from the database, and depending on what it told us we used a flask application to present if our simulated room was occupied or unoccupied. We then used our jinja2 html code to further redesign and make our website look nice.
Evolution
Results
Presentation Poster
Repository
