MASKTracker

MASKTracker is a project focused on creating a system that can detect whether people are wearing face masks in real time. It is designed to work with devices like the Pynq-Z2 board and a Raspberry Pi, which are often used in the Internet of Things (IoT).

Benefits

MASKTracker offers hardware acceleration for face mask detection. This means it can process information very quickly, making it suitable for live applications. The project provides source code and results, allowing others to understand and potentially build upon its technology.

Use Cases

This technology is ideal for real-time applications, especially on IoT devices. It can be used in various settings where monitoring mask usage is important, such as public spaces or workplaces, to help ensure safety guidelines are followed.

Additional Information

The project utilizes a Pynq-Z2 board and a Raspberry Pi. The Pynq-Z2 requires internet access, like through a WiFi dongle. The project's repository includes code for both the Pynq-Z2 and the Raspberry Pi, as well as pre-trained models for mask detection and performance reports. To replicate the results, users will need the specified hardware and certain software installations.