enter Dept name in Title Master

Wait WatcherMidway Design Review

Alexander Gutowski

Mat Barros

Steve Mitchell

Advisor: Professor Gong

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Overview

Recap Feedback from PDR Updated Design System Components Testing Financial Report Future Goals

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Recap

Pain to be solved: to eliminate wasting time waiting in line to buy lunch or in other services

Designing an embedded system that communicates with a website displaying wait times to the user• Counts people entering and exiting an area• Relates wait times to number of people present

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Feedback from PDR

What is the real purpose behind the website? Cannot have many wires Our website will generate traffic to restaurants at

low times, creating spikes in the data causing unpredicted traffic flows

An empty restaurant could cause concern for patrons

How will wireless communication with the website take place?

Is the backup system, high resolution camera, necessary?

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Updated Design

Updated Purpose Statement: The Wait Watcher system is a website that utilizes an embedded system and infrared sensor grid to count people entering and exiting a restaurant to obtain a busyness level. This real time system aims to inform people how busy a service is before the customer arrives, and to forecast the best time to arrive to minimize the pain of wasting time waiting in line.

People enter through a “grid” of sensors• Using Sensor Fusion to obtain 3 pieces of information:

Order, timing and Distance• Measure the net change in the grid using our decision

making algorithm• Wirelessly communicates to the website

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Current Block Diagram

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Physical Design

Side View of Grid

Overhead view

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Sensor Fusion:

Sensor Fusion: using multiple, less complex, sensors to make one complex and cohesive sensor network

Cheaper More Accurate Decreased failure rate Safer, not as harmful to human eyes

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Neural Networks:

Neural Networks: Using multiple factors as layers in the decision making process

Decision Making Algorithm:

• Decision = Wo + Wt + Wd

• Order of signals tripped: Wo = .75 [∑ s1 + s2+…+sn]

• Time signals were tripped: Wt = .15 [∑ s1 + s2+…+sn]

• Distance of signals tripped: Wd = .1 [∑ s1 + s2+…+sn]

Decision Output Action.80 < D < 1 +1 to Count

-.80 < D < .80 No Action-1 < D < -.80 -1 to Count

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System Components

Sensors:• Sharp Infrared Long Range Proximity Sensor (10 total)

Analog-to-Digital Converter:• Arduino Mega 25600 Board

Microcontroller:• Intel Atom Microprocessor

Wireless Transmitter:• TRENDnet 300Mbps Wireless Router

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Power Supply

A single power cord for the entire system

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Microcontroller Software

Linux Operating System Inputs via USB from Arduino A-to-D converter C program runs decision making algorithm Data is stored in a MySQL database programmed

with SQL query language Database is stored on the 160GB hard drive of

the Atom

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Website Communication

Uses PHP plugin with MySQL to access database Wireless router connected to Atom provides

wireless access point Website is updated accordingly in 1 minute

intervals• Green: < 10 minute wait• Yellow: 10-20 minute wait• Orange: 20-30 minute wait• Red: 30+ minutes

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Testing:

Start by testing in SDP Lab• Refining the algorithm and system optimization

Have received “Go Ahead” from Blue Wall Management• Approved for whatever physical resources or demands

our system requires

Live testing in Blue Wall• Test Projections and database• Check for abnormal use cases in live setting

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Financial UpdatePart Quantity Price

Sharp IR Proximity Sensor 10 $14.99 each

3 Pin IR Wiring Harness 10 $1.50

Intel Atom Microcontroller 1 free

Arduino Mega 2560 1 $64.95

9V AC to DC converter 2 $5.95

TrendNet Wireless Router 1 $38.95

5V breadboard power adapter

1 $9.95

Mini USB to USB cord 1 $3.95

Projected Cost: $295.00 + Housing Costs

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Goals for CDR

Functional sensor network

Decision Making Algorithm completed

Implement database to store and retrieve data

Initiated testing procedures in SDP

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Thank You!

Questions?

Check team website for more updateshttp://www.ecs.umass.edu/ece/sdp/sdp11/gong/

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Business Plan Website will keep track of actual head counts at 15

minute intervals throughout the day• Useful to the business for staffing/resource management

The menu will be on the website • Free Advertising for the restaurant

By keeping the price of the system capped at $500, the system is extremely affordable• A similar infrared people counter that does not offer any

commercial aspect, just a head count of people who come and go, costs $200(+)

• Lends itself to widespread expandability, potentially “Wait Watchers” a social networking site for local restaurants

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Division of Labor

Microcontroller (software side)

Wireless communication

Component research

Website Design

Website software

Neural network and sensor fusion R & D

Alex: Steve: Mat: Microcontroller

(Hardware side)

Test location approval

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Pro’s and Con’s

Pro’s:Decreased wait times to get foodLess crowded in the Blue Wall CaféMore consistent business throughout the day for Blue WallExpandable technology

Con’s:Website might not be used regularlyIf count is not accurate people will not use it Blue Wall might find the system intrusiveCamera’s pose privacy problems

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Design Challenges

Interfaces• Sensors• Wireless

Comprehension of collected data• Signal processing• Integration

Cost Adequate testing location

• Location of sensors