BossSensor
BossSensor project leverages image classification to automatically hide computer screens when a boss is approaching. Using Python 3.5 and OpenCV, the system requires a webcam and a comprehensive facial image dataset for training. End-users benefit from quick reaction to proximity alerts, making it suitable for OSX users seeking privacy in supervised environments. The installation involves setting a virtual environment and transitioning the Keras backend to TensorFlow, ensuring software compatibility without overstated features.
