Difference between revisions of "BetaDelta"

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==Overview==
  
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==Project Overview==
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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.  
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The purpose of the BetaDelta Website is mainly to provide real-time updates on the availability of residential study rooms to the South 40 WashU student body. Study room availability will be uploaded to the BetaDelta website via Wifi dongle, based on information from light, motion, and sound detectors, which will be connected through a raspberry pi system. The raspberry pi will be encased in a 3D printed shell and will placed in the optimal position in a given study room, based on its shape and size.  
 
  
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Information from each of the three sources will be displayed with its corresponding study room, where motion and sound will report its most recent activity and the light reporting a status of either "on" or "off." The website will have a couple of additional key highlights, the first of which will be easily accessible logs of past weekly study room availabilities. This will allow students to predict the timing and location of future study sessions. The second key highlight will be the ability to see which subjects are being studied in rooms around the South 40, where students are open to collaboration on a user-input basis. The third key highlight is that study rooms indicating signs of vacancy will be displayed on the BetaDelta website in order of probability of being available. The probability of availability will be based on how recently motion (the most weighted component) and sound have been detected in each study room as well as whether or not its light is on.
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==Team Members==
  
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==Team Members==
 
 
*James Tiffany
 
*James Tiffany
 
*Rebecca Smith  
 
*Rebecca Smith  
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==Objectives==
 
==Objectives==
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Create a device that:
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*Is contructed with a raspberry pi
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===Device===
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**connected to a light, motion, and sound detector
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*Constructed with a raspberry pi and motion sensor
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*Has a 3D printed casing
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*Encased in a 3D printed shell
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*Can update the BetaDelta website through a Wifi dongle
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*Code the raspberry pi to receive input from the sensor and upload it onto our server
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Create a functional website, BetaDelta, that can provide real-time information:
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*Whether or not room occupied
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===Website===
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*Ranking of study room availability probability
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*Developed with Amazon Web Services
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*What subject is being studied
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*Have the to display updated room occupancy via wifi
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*Log of study room usage
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*Change colors based on occupancy (red for occupied, green for available)
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Create a demo-room for simulation
 
  
 
==Challenges==  
 
==Challenges==  
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*Learn Python
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*Learn how to 3D print
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*Learn Python coding techniques
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*Design circuit involving R-Pi with sensors
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*Learn how to use CAD and 3D print
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*Learn how to connect R-Pi with website thru internet connection
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*Recreate circuit tutorials for motions sensor to raspberry pi connection
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*Create our own framework for the server and website using Amazon Web Services
  
 
==Budget==
 
==Budget==

Revision as of 22:33, 1 May 2017

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
  • Code the raspberry pi to receive input from the sensor and upload it onto our server

Website

  • Developed with Amazon Web Services
  • Have the to display updated room occupancy via 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

Item Quantity Price Vendor Link
Raspberry Pi 1 $0 Lab
Micro SD Card (8GB) 1 $9.95 + $7.14(Adafruit shipping) = $17.09 Adafruit https://www.adafruit.com/products/3259
Light (LDR) Sensor 1 $6.95 Adafruit https://www.adafruit.com/product/1980
1uF Capacitor 2 $11.98 Uxcell http://www.uxcell.com/1uf-50v-105c-radial-electrolytic-capacitor-5x11mm-p-162619.html
Motion sensor 1 $9.95 Adafruit https://www.adafruit.com/product/189
Sound detector 1 $6.95 Adafruit https://www.adafruit.com/products/1063
Breadboard Wires 1 $7.29 Amazon http://www.amazon.com/Solderless-Flexible-Breadboard-Jumper-Wires/dp/B005TZJ0AM
4 Digit Display 1 $11.95 Adafruit https://www.adafruit.com/products/881
Perfboard 1 $12.50 Adafruit https://www.adafruit.com/product/571
Noise Canceling Foam Panels 1 $29.95 + $12.68 = $42.63 ATS Acoustics https://www.atsacoustics.com/foam-wedge-acoustic-panels-12charcoalblue.html?d=GPGEN01&kw=1275-FW12-ChBl&gclid=CjwKEAiAi-_FBRCZyPm_14CjoyASJAClUigOOMzNOCQuiDdpuEa-mnZzNmtAIb-ONqLhZf-7JBGokhoCHY7w_wcB
Website For 3 months $2.99(X3) = $8.97 WordPress https://wordpress.com/#plans
Total $136.56


Gantt Chart UpdatedG.jpg

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