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Humber International Visitor Tracking and Flow Prediction using Webcam

Team

Justin Philip Dela Cruz, Tajay Housen

Categories

Artificial Intelligence,Big Data/Business Intelligence,Machine Learning,MySQL,Python

Overview

Our project is built on Python, utilizing the OpenCV library for cutting-edge image processing, serving artificial intelligence applications. It interfaces with MySQL databases, which underscores our commitment to robust data management. With the integration of Pandas, we delve into data analysis, catering to business intelligence objectives. The PyQt5 toolkit is employed to craft a user-friendly GUI, ensuring a seamless interaction experience for users. We've incorporated scheduling to automate regular tasks, streamlining our operational efficiency. Our project also features email capabilities for automated alerts and report sending, facilitating effective communication. Logging is integral to our approach, providing thorough monitoring and troubleshooting to enhance security and manageability.

Tracking Visitor Using Webcam

video of Humber International Visitor Tracking and Flow Prediction using Webcam

Computer vision software automatically detects and counts faces, logging data to a database. An intuitive GUI monitors metrics in real-time, while scheduled reports keep employees at Humber International informed. Automated processes optimize workflow efficiency.

Project Poster

Poster for the project Humber International Visitor Tracking and Flow Prediction using Webcam

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