move_detect/edge/detectors/fall.py
유창욱 2ea0420de7 fix(delivery): resolve codex + workflow review findings across edge/cloud/deploy
Two independent adversarial reviews (codex CLI + a 6-dimension verification
workflow) of the delivery-hardening branch surfaced ~40 findings; this closes
the confirmed correctness/security/deploy blockers plus a codex re-review pass.

edge:
- geometry: track_displacement per-second threshold recalibrated (0.02->0.25,
  env-tunable via MOTION_THR, validated finite/positive); confidence-filter
  keypoints with a bbox-center fallback so hallucinated points don't fake motion
- fall: low-confidence frames no longer cancel an active FALLING/FALLEN incident
  (freeze + reset recovery timer so recovery needs a fresh confident streak);
  baseline height only seeded from trusted frames
- queue: PostClient.send() returns a tri-state SendResult; only definite 4xx
  count toward the poison drop cap, so a network outage (incl. 408/425/429/5xx)
  never deletes queued safety events; legacy rows persist their minted uuid
- config: reject placeholder / http / short DEVICE_SECRET at startup
- zones: warn+skip legacy pixel-space polygons that would silently match nothing

cloud:
- zone endpoints wired into P3-2b site-scope (cross-site read/write/delete
  closed) + role gate on list; catch narrowed so DB faults surface as 500
- snapshot purge keeps the DB row when unlink() fails (no untrackable PIPA orphan)
- ingest dedup path re-stores missing snapshots (+ short-write guard); UNIQUE
  (event_id, content_hash) makes recovery idempotent under retry/race
- event list cursor carries full-precision occurred_at (no float rounding at the
  page boundary); string keyset end-to-end
- SiteScope '' fails closed (only NULL is global); dashboard fetches full page cap
- runnable migration (site/event_uuid + backfill ordering + indexes); rate-limit
  reap fails open

deploy:
- offline bundle hashes EVERY file (fatal on missing/failed/injected; models in
  SBOM; arch in tarball name; REQUIRE_SIGNATURE option)
- installer verifies before any mutation, Hailo arch preflight before install,
  atomic src swap, backend reconcile preserves a working operator choice
- systemd DeviceAllow=char-dma_heap (the /dev/dma_heap/ dir form was inert)

Verified: edge pytest 165 passed / 2 skipped; cloud phpunit 109 passed / 4
skipped; deploy scripts bash -n clean. Reviewed by codex twice (findings +
fixes) with the second-pass findings folded in.
2026-07-17 19:24:42 +09:00

125 lines
5.7 KiB
Python

from dataclasses import dataclass
from edge.tracking import Track
from edge.geometry import (
torso_angle_deg, head_below_hips, core_visible, visible_count,
track_displacement,
)
@dataclass
class FallConfig:
falling_angle: float = 45.0
fallen_angle: float = 70.0
aspect_ratio: float = 1.25
height_collapse: float = 0.35 # baseline 대비 남은 높이 비율(이 값 미만이면 급붕괴)
prone_confirm_s: float = 3.0
no_motion_s: float = 10.0
motion_thr: float = 0.25 # per-second normalized joint speed (units/s); MOTION_THR env
min_conf: float = 0.5
min_visible: int = 10
recover_grace_s: float = 1.0 # 사고 상태에서 회복 판정까지 요구되는 지속 비-prone 시간
@dataclass
class _State:
name: str = "STANDING"
baseline_height: float | None = None
prone_since: float | None = None
still_since: float | None = None
fall_emitted: bool = False
no_motion_emitted: bool = False
not_prone_since: float | None = None
class FallDetector:
def __init__(self, cfg: FallConfig):
self.cfg = cfg
self._states: dict[int, _State] = {}
def forget(self, track_id: int) -> None:
self._states.pop(track_id, None)
def _prone(self, kps, bbox, st: _State, kp_ok: bool) -> tuple[bool, dict]:
ar = bbox.aspect
remaining = 1.0
if st.baseline_height:
remaining = bbox.height / st.baseline_height
# bbox cues need NO keypoints — a fallen person is wide-and-short, or their bbox height
# collapsed. These stay live even when the pose model has lost confidence (occluded /
# on the floor), which is exactly when a fall must not be missed.
prone = ar > self.cfg.aspect_ratio or remaining < self.cfg.height_collapse
angle = torso_angle_deg(kps)
# keypoint cues only when the keypoints are actually trustworthy, else they are noise.
if kp_ok:
prone = prone or angle > self.cfg.fallen_angle or head_below_hips(kps)
return prone, {"torso_angle": round(angle, 1),
"aspect_ratio": round(ar, 2),
"height_remaining": round(remaining, 2)}
def update(self, track: Track, now: float) -> tuple[str | None, dict]:
st = self._states.setdefault(track.track_id, _State())
f = track.latest
kps, bbox = f.keypoints, f.bbox
# Confidence gate — no longer a blanket early-return (that disabled fall/no_motion/
# ghost for the occluded person on the ground). It now only decides whether the
# KEYPOINT-based cues are trustworthy; the bbox cues always run.
kp_ok = core_visible(kps, self.cfg.min_conf) and visible_count(kps) >= self.cfg.min_visible
prone, meta = self._prone(kps, bbox, st, kp_ok)
# incident 비활성일 때만 baseline(정상 키높이) 갱신 = incident 중 freeze. Only trust a
# confident standing frame for the baseline so a bad low-conf bbox can't corrupt it.
if st.name == "STANDING" and not prone and kp_ok:
st.baseline_height = bbox.height
if not prone:
if st.name in ("FALLING", "FALLEN", "NO_MOTION"):
# Only a CONFIDENT non-prone frame may recover an active incident. A low-conf
# (kp_ok False) frame's bbox-only "not prone" reading is untrusted: occlusion of
# a still-fallen worker must FREEZE the incident, not run the recovery countdown
# on noise. Freezing also protects baseline_height below (only seeded here, when
# kp_ok holds, so a bad low-conf bbox can't corrupt the next fall's collapse cue).
if not kp_ok:
# Occlusion PAUSES recovery — it must not count toward the grace window. Reset
# so recovery requires a FRESH, continuous run of confident non-prone frames;
# otherwise a confident frame at t0 plus a lone confident frame after a long
# low-conf gap would recover instantly on wall-clock elapsed alone.
st.not_prone_since = None
return None, {}
# 단일 튐(noisy) 프레임만으로 CRITICAL 사고를 즉시 취소하지 않도록
# recover_grace_s만큼 지속된 (신뢰) 비-prone을 요구한다.
if st.not_prone_since is None:
st.not_prone_since = now
return None, {}
if now - st.not_prone_since >= self.cfg.recover_grace_s:
self._states[track.track_id] = _State(baseline_height=bbox.height)
return "recover", {}
return None, {}
st.prone_since = None
return None, {}
# prone 상태 (재-prone 프레임은 대기 중인 recover 유예를 취소)
st.not_prone_since = None
if st.prone_since is None:
st.prone_since = now
st.name = "FALLING"
if now - st.prone_since >= self.cfg.prone_confirm_s and not st.fall_emitted:
st.name = "FALLEN"
st.fall_emitted = True
st.still_since = now
return "fall", meta
# FALLEN 이후 미동 감시
if st.fall_emitted:
if track_displacement(track) < self.cfg.motion_thr:
if st.still_since is None:
st.still_since = now
elif now - st.still_since >= self.cfg.no_motion_s and not st.no_motion_emitted:
st.name = "NO_MOTION"
st.no_motion_emitted = True
return "no_motion", {**meta, "immobility_s": round(now - st.still_since, 1)}
else:
st.still_since = None
return None, {}