Available perception

Component	Backend	Output and limits
Objects/people	YOLO26 Nano, COCO 80 classes	Boxes, classes, confidence, centers; class support does not include arbitrary signs/roads
Tracking	ByteTrack	Stream-local IDs and temporal image-plane motion; no tracking across unrelated photos
OCR	EasyOCR	Text polygons and confidence, English and configurable Arabic; low-score text filtered, empty results do not prove no text
Pose/activity	YOLO26 Nano Pose	17 keypoints; conservative static arm-raised geometry; walking/running/waving remain unknown
Faces	MediaPipe Face Landmarker	Observable blendshapes and tentative smiling-looking result for sufficiently large faces; no identity or inner-emotion inference
Depth	Depth Anything V2 Small	Relative heatmap; no metric distance
Walkable candidates	SegFormer B0 / Cityscapes	Sidewalk mask with confidence threshold, uncertain road regions, detected-object boxes marked as obstructions; experimental, not navigation certification

Face outputs are independent of person boxes and are not identity-linked. Small/occluded faces often produce no landmarks or unknown expression. No general-purpose temporal action classifier or SLAM trajectory estimator is implemented. Segmentation does not fuse depth into a calibrated traversability model; never drive a physical robot solely from these outputs. The default detector is optimized for speed; the full CPU pipeline is substantially slower.