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This project aims to address the environmental issues in Bowman Creek tributary caused by dumping and disjoint pipes. By developing a robot equipped with cameras and sensors for sewer inspection, the solution offers both autonomous and human-controlled modes. The robot's chassis with wheels, mounted camera, gyroscope, and sonar sensor facilitate movement in the large sewer pipes to detect sewage treatment problems. The user interface includes an LCD screen for viewing the video feed and a touch screen for control. The system also features motors, gyroscope, and pulse-width modulators for driving the wheels and controlling the camera. The project demonstrates the potential for wireless capabilities and environment sensing. Through automation, the robot can stay upright, avoid obstacles, and detect leaks, enhancing efficiency in sewage inspection.
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Ninja TurtlEEs Bowman Creek Robot Inspection Casey Morris, John O’Brien, Josh Vahala, Justin Yoder
Introduction • Bowman Creek Tributary
Environmental Problem • Aquatic Life • Dumping • Disjoint Pipes • Sewage Treatment
Problem Statement • Movement of current robot in large sewer pipes • Stationary camera • Base of robot if altered with attachment arm
Solution • Chassis with wheels • Mounted Camera • Autonomous and Human Controlled • Gyroscope and Sonar Sensor
Demonstration • Video • Both modes • Show off success • In-Class • Show off control system
Robot Housing • Needs a water resistant casing
Camera Sonar • Simple videocamera • Detecting proximity to walls
User Interface • LCD screen is for viewing the video feed from the robot • A touch screen could also be used to control the robot and the camera
Motors Gyroscope • 4 standard motors and pulse width modulators to drive the wheels. • Aservo will control the camera. • Detects angle of robot • Actual gyroscopes are very small
Video Battery • Video cable transmits back to user • Wireless video transmitters are expensive • Powered by either a battery or a power cord
Engineering Content • Robotics • Control • Making it wireless? • Environment Sensing • Stay upright, avoid walls, detect leaks and obstacles • Automation • Problem spot detection, map marking, auto return