Screen Hiders - Hides the computer screen automatically when a specific person's face is detected via webcam.
Face Recognition Training - Trains a binary classifier from user-provided images to recognize a specific person's face.
Custom Face Classifier Trainers - Trains a face classifier from user-provided images to recognize a specific person for triggering actions.
Single-Person Binary Classifiers - Trains a binary classifier to distinguish a specific person's face from all others using limited sample images.
Real-Time Facial Recognition - Captures live webcam frames and classifies faces in real time to identify when a designated person enters the field of view.
Boss Detection Screen Hiders - Detects when a specific person approaches a desk using webcam face recognition and automatically hides the screen.
Screen Concealment Triggers - Hides the screen immediately upon detecting a positive face classification match.
Screen Hiders - Triggers a screen-hiding action when the classified person matches a pre-trained boss image.
Webcam Frame Captures - Captures frames from a connected webcam using browser or system APIs for real-time processing.
Real-Time Webcam Pipelines - Captures frames from a connected webcam and processes them through detection and classification stages with minimal latency.
Screen Concealment - Hides the active screen content immediately upon a positive face classification match.
Workplace Privacy Automation - Uses computer vision to preemptively conceal sensitive content when a designated individual is detected.
Approaching Person Detectors - Captures live webcam frames and classifies whether a specific person is approaching the desk.
Boss Detection Screen Hiders - Uses a webcam feed and deep learning to detect a specific person approaching and automatically hide the screen.
Browser-Based Execution - Runs all face detection and classification entirely on the local machine without sending data to external servers.
Automated Screen Privacy - Triggers immediate screen concealment based on visual detection of an approaching person to maintain privacy.
Real-Time Processing Pipelines - Processes each webcam frame through detection and classification stages with minimal latency.
User-Provided Image Ingestion - Accepts and stores user-uploaded images to train a custom face classifier for personalized boss recognition.
CNN Feature Extractors - Uses a pre-trained CNN to extract facial features for classification without training from scratch.
Workplace Surveillance Avoidance Tools - Uses computer vision to monitor for a specific individual's presence and preemptively hide sensitive content from view.
Productivity Tools - AI-based tool for hiding work screens when bosses approach.
