Panoptican Blob Detection app analytics for September 5

SurveillanceBlobs uses on-device machine learning to detect and visualize objects in real time through your camera — no internet required. DETECTION MODES - BOX — bounding boxes around detected objects - LABEL — class name + confidence overlay - LINES — connection lines between objects with distance labels - MASK — instance segmentation with liquid mask effects - PIX — pixelate detected regions (inside or outside) - DIV — subdivide and animate detected regions with sine-wave motion, adjustable BPM, amplitude, and collapse effects FEATURES - Multiple detectable objects - Front and rear camera support with full device rotation - Record video with all visual effects baked in - Import existing videos and apply detection + effects - Per-class color coding - Adjustable confidence threshold, line width, and tracking persistence - Class filtering — choose which object types to detect - All processing runs on-device using Core ML — your camera feed never leaves your phone SETTINGS & CUSTOMIZATION - Box, label, and grid color pickers - Pixelation block size control - DIV mode: grid density, collapse amount, BPM, sine amplitude, foreground/background targeting - Detection persistence for smooth, stable tracking