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Advisor: Prof. Gong Department of Electrical and Computer Engineering Team 8 Alternative Choices November 26 th, 2012 Mid-course Design Review.

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Presentation on theme: "Advisor: Prof. Gong Department of Electrical and Computer Engineering Team 8 Alternative Choices November 26 th, 2012 Mid-course Design Review."— Presentation transcript:

1 Advisor: Prof. Gong Department of Electrical and Computer Engineering Team 8 Alternative Choices November 26 th, 2012 Mid-course Design Review

2 Advisor: Prof. Gong Department of Electrical and Computer Engineering Vangjush Dedo EE Salvador Rivera EE Lusheng Tang EE Stenli Duka CSE Team Alternative Choices Professor Gong Advisor

3 Advisor: Prof. Gong Department of Electrical and Computer Engineering  Current Food Service Slow and overcrowded during peak hours Safety hazard inside facilities  Students have no way of knowing if a place is crowded or not  Inefficient use of school resources Inefficient Food Service in US Campuses

4 Advisor: Prof. Gong Department of Electrical and Computer Engineering Requirements Analysis: Specifications  Real-Time measurement of number of people  Facility specific information  Multiple entrances  Compact design  Information accessible online  Updates every thirty seconds  Detect multiple people leaving/entering

5 Advisor: Prof. Gong Department of Electrical and Computer Engineering Requirements Analysis: Inputs and Outputs  Input Sensor data  Output Current people count in a food facility History of people count in a food facility Expected amount of people in future Offer nearby alternate locations with less people

6 Advisor: Prof. Gong Department of Electrical and Computer Engineering Our Solution: Block Diagram Power Supply Processing Sensors Database Modification DB Connection Data Collection Data Storage Real-Time Data Future Prediction Database Processing History User Interface Wireless Transmission Alternatives Database

7 Advisor: Prof. Gong Department of Electrical and Computer Engineering Sensors  Requirement Two sensors to proper count up/down Availability: 200 ms Continuous detection  Demonstrated Sensors detect movement for count Slow response in between detections

8 Advisor: Prof. Gong Department of Electrical and Computer Engineering Sensors Challenge  Primary requirement Availability: 200 ms In-lab value: 1 second Not fast enough for our purpose  PIR Implementation Unstable readings Need 5V supply which Arduino can’t output

9 Advisor: Prof. Gong Department of Electrical and Computer Engineering Power Constraints  Operating voltages Arduino: 5V Sensors: 5V-12V  Power supply USB power from computer Arduino outputs 5V Actual output: 4.3V Not enough for sensors Additional 5V DC source needed

10 Advisor: Prof. Gong Department of Electrical and Computer Engineering Arduino Yun  Data Counting based on direction/detection of sensor Reset state if person turns back after first sensor State machine determines action from sensor triggers Count up/down  Implementation Arduino Yun

11 Advisor: Prof. Gong Department of Electrical and Computer Engineering  Requirements Occurs every 30 seconds Connect to school Wi-Fi  Progress Successful connection to WPA-PSK protected AP Correct transmission to database every count change Unable to use school Wi-Fi WPA2 Enterprise needed Wireless Transmission

12 Advisor: Prof. Gong Department of Electrical and Computer Engineering Database  Requirements Store people count every 30 seconds Timestamp for each people count Location for each people count  Progress MongoDB database set up on MongoHQ Access using MongoHQ REST API Successfully updated using Linux OS (Linino) on Arduino Yun

13 Advisor: Prof. Gong Department of Electrical and Computer Engineering User Interface  Requirements Easy to use Deliver results ­Real-Time Data -Alternative Choices -History  Progress Website built Current count display History count display Python using Flask framework Currently hosted locally

14 Advisor: Prof. Gong Department of Electrical and Computer Engineering  Demonstration of People Counting PIR sensor data processed on Arduino Yun Data wireless transmitted to database  Demonstration of User Interface Interpret database -Display real-time people count -Display history Proposed MDR Deliverables

15 Advisor: Prof. Gong Department of Electrical and Computer Engineering Demo

16 Advisor: Prof. Gong Department of Electrical and Computer Engineering  Upgrade to better sensors (Salvador) Active sensing Improved sensor availability: At least ½ second Power supply  Wireless communication (Lusheng) Connect to school Wi-Fi  Upgrade Arduino Yun processor (Vangjush) Multiple sets (2) of sensor data handling Multiple door monitoring  User Interface (Stenli) Interpret data from multiple entrances of a building Display of people count in multiple buildings Looking Ahead: CDR

17 Advisor: Prof. Gong Department of Electrical and Computer Engineering Thank You


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