ENGS 89/90 Reports

Year of Graduation

2024

Project Advisor

Vicki May

Instructor

Solomon Diamond

Document Type

Report

Publication Date

2024

Abstract

The Bike W alk Census Tool is a machine learning-based counting and analysis device. It is designed to gather data for municipal entities aiming to improve their pedestrian and bike infrastructure. It has two primary components: a portable recording device, to be placed where the user wishes to gather data, and a software package installed on a provided NVIDIA Jetson computer which generates census data on the recorded video. The recording device is modular, weather-resistant, and portable. The user places the device in a clear and unobstructed area, where they can either manually interface with the device using onboard buttons, or use a web application on their phone which also provides a video display of the area being captured and the ability to frame the shot. Once a recording is complete, the user transfers the video over to the computer running the analysis tool. There, the user will draw lines, and the analysis tool increments separate counters for each type of road or sidewalk user crossing each line. After the tool has completed its analysis, which takes approximately as long as the real time duration of the recorded video, the user is provided with count data along with other useful data analyses such as conglomerated tracks and time-segmented counts.

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