Three intertwined bodies of work developed and tested together this session.
Full test suite green: python (edge) + phpunit (cloud).
## Edge/Pi install path
- setup_online.sh: apt-lock retry (apt-daily contention), Type=exec unit +
StartLimitIntervalSec in [Unit], journalctl-on-failure, crash-loop detection.
- onnxruntime is now best-effort (no sdist / no 32-bit-ARM wheel); [6/8] probes the
real backend and hard-fails if none works.
- Hailo HEF auto-fetch: edge/tools/fetch_hailo_hef.py (pinned sha256, refuses to guess
8 vs 8L, HAILO_ARCH override for serial-less boards); hailo_pose.py run() timeout fix.
- install_offline.sh: mirrors the backend gate; onnxruntime optional.
## Cafe24 cloud package (cloud/deploy/)
- build_cafe24_package.sh emits move_detect_app/ (private, one folder) + www/move_detect/
(docroot subdir); no-dev classmap autoloader; preflight.php; hardened .htaccess.
- Subdirectory mount support: Request::baseFrom/pathFor strip the mount prefix; index.php
walks up to find the app root; views/JS prefix every URL with APP_BASE; session cookie
scoped to the mount.
## Delivery audit — silent-failure & correctness (docs/delivery-audit.md)
All 4 blockers + all Phase-1 silent-failure + Phase-2 HIGH correctness:
- Edge cloud clients send a custom User-Agent (cafe24 WAF blocks python-requests) and
allow_redirects=False.
- Daemon fails loud on blank CAFE24_URL/DEVICE_SECRET; run_loop logs swallowed exceptions;
heartbeat carries real fps + per-camera health; UvcSource reopens a dead camera;
offline queue is size-capped and drops poison rows; TARGET_FPS/QUEUE_DB validated.
- Zone coordinates normalized 0..1 on both sides (were canvas-px vs camera-px — every zone
misplaced); pinch zones emit PINCH/HIGH (were downgraded to WARNING).
- Fall detection uses bbox cues when keypoints are low-confidence (occluded fallen person);
ghost incident not cancelled by a bystander; displacement normalized per-second (FPS-invariant).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019Xmn8KZWqiQUguEMRtn6rW
edge/app.py run_once used ONE shared KeypointSmoother across all persons
BEFORE tracking assigned IDs. The smoother holds per-joint-index One-Euro
filter state, so with >1 person in frame the filter state was shared and
corrupted across different people, and same-timestamp calls within a frame
would pass through unsmoothed while still clobbering the shared state.
Multi-person scenes could get corrupted torso angles -> missed/false falls.
Add TrackSmootherPool (edge/smoothing.py) that lazily allocates one
KeypointSmoother per track_id. run_once now: tracks raw keypoints first,
then smooths each track's latest frame in place using its own pooled
smoother, and forgets a track's smoother when the track is lost (ties into
FIX 5 lost-track cleanup).
BEHAVIOR CHANGE: keypoints are now smoothed after tracking instead of
before. Single-person pipelines are unaffected (still one smoother, one
identity). Multi-person pipelines get correct, non-cross-contaminated
smoothing.
run_once signature: smoother param replaced with pool: TrackSmootherPool.
build_pipeline now constructs "pool" instead of "smoother".
Tests: tests/test_smoothing.py adds TrackSmootherPool identity/forget
coverage; tests/test_app.py adds test_two_persons_get_independent_smoothing
demonstrating each track's smoothed keypoints stay on its own side instead
of being pulled toward the other person.
