Project number
25050
Organization
Rob Dollar Foundation
Offering
ENGR498-F2024-S2025
Every year, over 13,000 cyclists get injured in the United States due to car accidents.
In Arizona, A.R.S 28-275 requires vehicles to maintain a 3 feet distance from cyclists, but there is no enforcement mechanism for this law. CycleSafe aims to provide a safer environment for cyclists by creating a mechanism for the enforcement of A.R.S. 28-275
CycleSafe is an automobile proximity sensing, warning, and reporting device that fits in the left handlebar of a bicycle. When a motor vehicle passes within 3-feet of the CycleSafe an ultrasonic sensor triggers a side-facing flashing amber LED to warn the driver and records a burst of images (12 images per second) from a forward facing camera to capture the license plate. These images are stored on a micro SD within the device for export to a computer. These images can be sent to law-enforcement to track unsafe driving incidents and send warnings to unsafe drivers when permitted by law. Offline image analysis can be used to retrieve the license plate number from the images.
In this 3rd phase of the project, the team will design and test several improvements to the device that will make it smaller and lighter, add additional features, and make it more tightly integrated with the smartphone app.
******This sponsor will not be present at Open House. If interested, please sign up for an interview slot here - https://bit.ly/25044_25050Interviews******
In Arizona, A.R.S 28-275 requires vehicles to maintain a 3 feet distance from cyclists, but there is no enforcement mechanism for this law. CycleSafe aims to provide a safer environment for cyclists by creating a mechanism for the enforcement of A.R.S. 28-275
CycleSafe is an automobile proximity sensing, warning, and reporting device that fits in the left handlebar of a bicycle. When a motor vehicle passes within 3-feet of the CycleSafe an ultrasonic sensor triggers a side-facing flashing amber LED to warn the driver and records a burst of images (12 images per second) from a forward facing camera to capture the license plate. These images are stored on a micro SD within the device for export to a computer. These images can be sent to law-enforcement to track unsafe driving incidents and send warnings to unsafe drivers when permitted by law. Offline image analysis can be used to retrieve the license plate number from the images.
In this 3rd phase of the project, the team will design and test several improvements to the device that will make it smaller and lighter, add additional features, and make it more tightly integrated with the smartphone app.
******This sponsor will not be present at Open House. If interested, please sign up for an interview slot here - https://bit.ly/25044_25050Interviews******