1 Patron Queuing System Team Gong Archit Agarwal Thanh Nguyen Adnan Salam

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

3 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

4 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

5 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

6 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

7 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

8 Design Constraints Human Nature – Users entering through exits Strict Queue Lumped Queue – Requires Smart Controller Web Interface – Database management – Security

9 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

10 System Block Diagram 10

11 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

12 Environmentally Protective Boxes TransmitterReceiver

13 How does the count works? Receiver 1 Receiver 1

14 Sensor Configurations X

15 Sensor Configurations

16 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

17 Graph from the Database

18 Data Model and Applications 30 sec 30 min15 min 5 min Data PQS Web Site Statistical Graphs Real-time Graph

19 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.

20 Determining Success Installed and Functioning PQS PQS data corresponds to observed data Will install in Bursars office (Permission process) Customer Feedback Reasonable Cost

21 Marketing Marcus Café – Market Web site – ECS Portal Bursars Office – Daily Collegian – Posters

22 Why PQS ???? Testing – Functional testing – User interface testing – Maintenance testing Marketing – Most engineers have low opinion about marketing – Consumer approach

23 Q & A Questions and Comments