Panoptican Blob Detection
ASO analysis
Good use of the title field.
Solid length. Make sure the first 252 chars hook the reader.
Used by similar apps in your niche, but not in your title or description. Adding these (where genuinely relevant) can broaden your search reach.
Words you and your peers both use. Confirms positioning in this niche.
Keyword rankings
iTunes Search · top 200About
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