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Web Enabled Patron Queuing System

Web Enabled Patron Queuing System. Professor Weibo Gong Raj Wadwal Subash Unni Vinh Pham John Danaher. Introduction. Background Development Approach Principle of Operation Design Constraints Sensor Configurations Determining Success Deliverables MDR Conclusion. Background.

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Web Enabled Patron Queuing System

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  1. Web EnabledPatron Queuing System Professor Weibo Gong Raj Wadwal Subash Unni Vinh Pham John Danaher

  2. Introduction • Background • Development Approach • Principle of Operation • Design Constraints • Sensor Configurations • Determining Success • Deliverables MDR • Conclusion

  3. Background • Why a Web Enabled PQS? • Patron • find long lines • wastes time • no fun • Customer • presented with bursty patron traffic • slow service time • patron may bypass establishment

  4. Background • Broad Solution • Detect Congestion locally • Inform Potential Patrons via Customer website • Patron adjusts schedule • Life is better

  5. Development Approach • Multi-Phase Design Approach • Phase I – Show Efficacy • Implement and Install a PQS • Advertise System to Public • Measure Performance • Refine Sensor Arrangement

  6. Development Approach • Multi-Phase Design Approach • Phase II – Improve System • Design lower cost sensors • Scale micro-controller • Minimize sensor number • Wireless

  7. Principle of Operation • Detect Events • Compare to Congestion Threshold • Determine Congestion Level • Conveys Conclusion via WIFI • Patron visits web page

  8. Principle of Operation

  9. Design Constraints • Human Nature • Strict Queue • Unfeasible • Lumped Queue • Requires Smart Controller • Non-Interfering Web interface

  10. Design Constraints • Strict Queue - Unfeasible • Conspicuous • May conflict with existing lobby configuration • Human Nature • Use exit for entrance • Sensor Interference

  11. Sensor Configurations Strict Queue with Entrance Trigger with time out

  12. Sensor Configurations Strict Queue with Entrance and Exit Counting

  13. Sensor Configurations • Lumped Queue • Volume Detection • Patrons and non-Patrons mixed • Multiple Detection Points/ Areas • Live Image Capture • Low Resolution for privacy

  14. Sensor Configurations Lumped Queue with Volume Estimation

  15. Sensor Configurations Lumped Queue with Volume Estimation

  16. Design Constraints • Web Interface • Seamless non-interfering • Security

  17. Determining Success • Installed and Functioning PQS • PQS function must correspond to observed data • Patron Feedback • Customer Feedback • Reasonable Cost

  18. Deliverables for MDR • One (1) implementation of a PQS • Ready for Test Installation • Controller • Sensors • Server Side Software

  19. Conclusion • Technology Useful Daily • Human nature impacts solution • Thoughtful Engineering • Reduces Costs • Improves System Predictability

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