Team
Josip Elez
Categories
Artificial Intelligence, Big Data/Business Intelligence, Machine Learning, MySQL, Python
Overview
This is an improved version of the original project that was built in Python. This project utilizes the OpenCV library for cutting-edge image processing, serving artificial intelligence applications. It interfaces with MySQL databases, which showcases our commitment to robust data management. With the integration of Pandas, we delve into data analysis, catering to business intelligence objectives.
The tkinter toolkit is employed to craft a fast user-friendly GUI, ensuring a seamless interaction experience for users. I've incorporated scheduling to automate regular tasks, streamlining our operational efficiency. My 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.
Improved Tracking Visitor 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.
