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Threat Verification- NAVATA Tim Quinn, Jacques Dupuis, Henry Mossell

Networked Advanced Vehicle Anti-Tamper & Alert System. 2011- Vermont Technical College Electro-Mechanical Senior Project. Threat Verification- NAVATA Tim Quinn, Jacques Dupuis, Henry Mossell. Problem Statement. Deployed Vehicles Unattended ARA designed a vibration sensing

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Threat Verification- NAVATA Tim Quinn, Jacques Dupuis, Henry Mossell

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  1. Networked Advanced Vehicle Anti-Tamper & Alert System 2011- Vermont Technical College Electro-Mechanical Senior Project Threat Verification- NAVATATim Quinn, Jacques Dupuis, Henry Mossell

  2. Problem Statement • Deployed Vehicles Unattended • ARA designed a vibration sensing anti-tamper system • Threats tamper while unattended • Wide open spaces and wind gust • Not immune to vibrations due to wind • False alarms • Determine an actual threat from wind gusts

  3. Solution Statement • To design a system that uses sensors to differentiate between wind and a real threat to the vehicle, that can be used in harsh environments, robust enough to withstand constant vibration and impact, and easy to maintain.

  4. Tremble Sensor Array Tremble Sensor Array Tremble Sensor Array Vehicle Node Vehicle Node Vehicle Node Threat Verification Sensor Threat Verification Sensor Threat Verification Sensor System Overview Vehicle 1 Vehicle 2 Vehicle 3 Motor Pool Network Gateway Facility Security Console Broadcast Wireless

  5. Areas of Responsibility • Tim Quinn • ARA POC • Passive Infrared Sensor Research, design, and testing • Jacques Dupuis • Secretary • Anemometer, Pitot tubes Research, design, and testing • Henry Mossell • Project Manager • Pressure Sensor, and Ultrasonic Proximity Sensor Research, design, and testing Areas of responsibility are subject to change as the program progresses • Other duties may be assigned as required

  6. Sensor Testing Platform Tim Quinn Passive Infrared Henry Mossell Pressure Ultrasonic Jacques Dupuis Anemometer Pitot Tube • After Testing each sensor • Create a matrix table comparing the 4 sensors results • Determine sensor of best fit for our application

  7. Passive Infrared Sensors • PIR sensors are detecting a change in radiation in its field of view • Sensor is split into two half and the IR levels are compared between the 2 halves. • If one side detects a higher IR radiation than the other side the output is pulled up or down • The use of a lens give a wider field of view as will a greater comparator sensitivity

  8. Budget • Unlimited

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