bosssensor

We have hosted the application bosssensor in order to run this application in our online workstations with Wine or directly.

Quick description about bosssensor:

BossSensor is an experimental open-source application that uses computer vision and machine learning to detect when a specific person, such as a supervisor or manager, approaches a computer workstation. The project uses a webcam to continuously capture images and analyze them using a face classification model trained to distinguish between the designated �boss� and other individuals. When the system detects that the trained face appears in the camera view, the program automatically triggers actions such as hiding the user�s screen or switching to a safe display. The software relies on libraries such as OpenCV, TensorFlow, and Python-based machine learning tools to perform face detection and classification. Training the system requires a dataset of labeled images representing the boss and other people so that the model can learn to differentiate between them.

Features:

• Real-time face detection using webcam input
• Machine learning model for recognizing a specific person
• Automatic screen hiding when the target face is detected
• Training scripts for building the face classification model
• Integration with OpenCV and TensorFlow libraries
• Python-based implementation for experimentation and customization

Programming Language: Python.
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