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Patron Queuing System

Team GongArchit Agarwal

Thanh Nguyen

Adnan Salam

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Overview

Background MDR Specifications Restrictions Principles of operation System block diagram Sensor configurations MySQL Database Marketing Q & A

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Background

Customers waiting in line Avoid wasting time

– Avoid waiting in line– Profitable to businesses

Less waiting time = more happy customers = more business = more money

Consistent customer flow

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MDR Specification

A robust sensor system– With environmental protection

Intelligent algorithms computing waiting time MySQL Database Web server User friendly web site ECS portal advertising

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Special Restriction

The PQS system can only work in the presence of an Wireless Internet connection

The sensing area should be narrow enough so that only one patron will get counted at a time

Different settings require different setups; i.e. it’s not generic

Any further restrictions will be considered upon evaluation results

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Principle of Operation

Simple setup – One transmitter and two receivers

The PQS project relies heavily on the accuracy of the sensors

The controller board stores the current count for the number of customers at our clients location

Determine Congestion Level

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Principle of Operation

Apache server hosting a multi-thread java server and Web services

A real time updated graph – every 30 seconds interval

Advanced Algorithms will be used to calculate wait time

Data transmitted via WIFI network

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Design Constraints

Human Nature– Users entering through exits

Strict Queue Lumped Queue

– Requires Smart Controller Web Interface

– Database management– Security

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Input / Output

Number people in line sensed by the infrared sensors

Reset counter by the users

Number of people on the line and approximation of wait time showing on PQS Webpage

Acceptance test - A fully functional system is installed at Marcus Café. Its performance is being tracked over time the data will be observed to recognize level of congestion

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System Block Diagram

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Sensor Configurations

Lensed optics reinforce beam strength and provide excellent immunity to false alarms

– 2 sets of sensors for the receiver– 100 meters range– Power Via Ethernet (5V) or DC power adapter– A delay time of 50ms. (700ms)– Built in laser beam alignment system

Automatic input power filtering with special noise rejection circuitry

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Environmentally Protective Boxes

TransmitterReceiver

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How does the count works?

Receiver

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Receiver

1

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Sensor Configurations

X

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Sensor Configurations

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MySQL Database

4 tables storing data every 30 seconds, 5 minutes, 15 minutes, and 30 minutes.– Data stored every 30 seconds for an hour– 5 minutes for a week– 15 minutes for 6 months– 30 minutes for 3 years

30 second table is used for wait time approximation; rest are used for statistics purposes

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Graph from the Database

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Data Model and Applications

30 sec

30 min15 min

5 min

Data

PQSWeb Site

StatisticalGraphs

Real-timeGraph

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Wait Time Algorithm

Compare number of people leaving in last 10 minutes to get approximate time / person.

Multiply the approximate time / person with number of people in line.

In case no customers were in line in last 5-10 minutes, use a default approximate multiplier.

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Determining Success

Installed and Functioning PQS PQS data corresponds to observed data Will install in Bursars office (Permission

process) Customer Feedback Reasonable Cost

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Marketing

Marcus Café– Market Web site– ECS Portal

Bursars Office– Daily Collegian– Posters

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Why PQS ????

Testing – Functional testing– User interface testing– Maintenance testing

Marketing– Most engineers have low opinion about marketing– Consumer approach

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Q & A

Questions and Comments