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Full-Text Articles in Computer Engineering
Garden Bot: Autonomous Home Garden Weed Removal Robot, Brendon Lovejoy, Robert Connolly, Isaac Lucas, Stevan Veselinov
Garden Bot: Autonomous Home Garden Weed Removal Robot, Brendon Lovejoy, Robert Connolly, Isaac Lucas, Stevan Veselinov
Williams Honors College, Honors Research Projects
With frequent weeding being a tedious chore and an essential task for a successful garden, there is need for an automated method of handling this routine. Existing technologies utilize computer vision, GPS, multiple units and other tools to remove weeds from garden plots. However, these solutions are often complex and expensive, suited for large agricultural plots in contrast to small-scale home gardens. In addition, many of these technologies, along with manual tillers and cultivators suited for home use, are unable to perform weeding within rows of crops in a process known as intra-row weeding. The Garden Bot is an autonomous, …
Motorcycle Helmet Crash Detection/Prevention System, David Witsaman
Motorcycle Helmet Crash Detection/Prevention System, David Witsaman
Williams Honors College, Honors Research Projects
This project proposes a motorcycle safety system that increases safety by actively helping to prevent crashes while also helping in the case that an accident does occur. The system actively helps prevent accidents by keeping the user’s eyes on the road with three additions to the typical helmet. The helmet has a heads-up-display (HUD) containing the speed of the motorcycle and turn-by-turn directions. Instead of tilting their head down the user can see their speed and directions by moving their eyes which will keep the road in their field of view. Blind-spot detection increases the user’s overall awareness of their …
Pothole Reporting System, Alissa L. Mcgill, Brian G. Simmons, Sean D. Querry, Elizabeth J. Hammell
Pothole Reporting System, Alissa L. Mcgill, Brian G. Simmons, Sean D. Querry, Elizabeth J. Hammell
Williams Honors College, Honors Research Projects
The purpose of this project is to create a pothole detection device that can be attached to the underside of a commercial vehicle. Potholes cost motorists around 6.4 billion dollars annually, thus demonstrating the need for a system to aid with the detection and reporting of potholes. The four systems we needed to consider for the implementation of this project were the power system, the sensing system, the data processing system, and the reporting and logging system. Power pulled from the vehicle will enable the sensors and data processing module. The data processing module will analyze the readings from the …