Date of Award

6-8-2021

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2021.

Departments

Electrical and Computer Engineering; Computer Science and Engineering

First Advisor

Ying Liu

Second Advisor

Shoba Krishnan

Abstract

Nowadays, waiting takes big chunks of daily-life activity. People may always find themselves facing long queues, waiting in a crowded facility, even when they have tried to avoid peak hours. Heading to a highly populated public area may have felt like heading to a battlefield. Without access to the real-time information of the facility, people start to discover that waiting starts to become an unpredictable event that can sometimes delay their schedule or even worse. This project serves as a solution to tackle this lack of transparency. Crossroad aims to combine facilities’ cameras with micro-controller to see the engagement of crowds, and uses machine learning algorithms to process and to visualize the data. The system will empower customers to be better navigated based on the live in formation on crowd movement and density.

Download
COinS