eyeguard-20-20-20 / eye_guard_2020.py
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"""
EyeGuard 20-20-20: Robust Eye Rest Enforcement System
=======================================================
Enforces the 20-20-20 rule for eye health:
- Every 20 minutes of screen time
- Look at something 20 feet away
- For at least 20 seconds
Anti-spoofing features:
- BOTH eyes must be closed for the full 20 seconds
- One-eye-closed tricks are detected and rejected
- Face must remain visible throughout the rest period
- Blink detection prevents counting short blinks as rest
Uses MediaPipe Face Mesh for precise per-eye landmark tracking,
with EAR (Eye Aspect Ratio) geometric calculation for each eye independently.
"""
import cv2
import mediapipe as mp
import numpy as np
import time
from dataclasses import dataclass, field
from enum import Enum, auto
from typing import Optional, Tuple, List
import warnings
warnings.filterwarnings("ignore")
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
# MediaPipe Face Mesh eye landmark indices
LEFT_EYE_IDX = [362, 385, 387, 263, 373, 380]
RIGHT_EYE_IDX = [33, 160, 158, 133, 153, 144]
# EAR thresholds (tuned for typical webcam distances)
EAR_OPEN_THRESHOLD = 0.22
EAR_CLOSED_THRESHOLD = 0.18
# Timing constants (20-20-20 rule)
SCREEN_TIME_ALERT_SECONDS = 20 * 60
REST_DURATION_SECONDS = 20
MIN_CONSECUTIVE_CLOSED_FRAMES = 15
BLINK_MAX_DURATION_FRAMES = 10
class Status(Enum):
SCREENING = auto()
ALERT = auto()
RESTING = auto()
REST_COMPLETE = auto()
SPOOFING = auto()
NO_FACE = auto()
# ---------------------------------------------------------------------------
# Geometry helpers
# ---------------------------------------------------------------------------
def euclidean(p1, p2) -> float:
return np.sqrt((p1[0] - p2[0]) ** 2 + (p1[1] - p2[1]) ** 2)
def eye_aspect_ratio(landmarks, eye_indices, img_w, img_h) -> float:
pts = [(landmarks[i].x * img_w, landmarks[i].y * img_h) for i in eye_indices]
v1 = euclidean(pts[1], pts[5])
v2 = euclidean(pts[2], pts[4])
h = euclidean(pts[0], pts[3])
if h < 1e-6:
return 0.0
return (v1 + v2) / (2.0 * h)
# ---------------------------------------------------------------------------
# Tracker state
# ---------------------------------------------------------------------------
@dataclass
class EyeState:
ear: float = 1.0
is_closed: bool = False
closed_start: Optional[float] = None
closed_frames: int = 0
@dataclass
class TrackerState:
status: Status = Status.SCREENING
screen_timer_start: float = field(default_factory=time.time)
rest_start_time: Optional[float] = None
rest_completed_time: Optional[float] = None
last_face_seen: float = field(default_factory=time.time)
left_eye: EyeState = field(default_factory=EyeState)
right_eye: EyeState = field(default_factory=EyeState)
ear_history_left: List[float] = field(default_factory=list)
ear_history_right: List[float] = field(default_factory=list)
history_maxlen: int = 5
spoofing_detected_at: Optional[float] = None
spoofing_count: int = 0
blink_count: int = 0
last_blink_end: float = 0.0
total_rests_completed: int = 0
total_rest_seconds: float = 0.0
failed_rests: int = 0
fps: float = 30.0
frame_times: List[float] = field(default_factory=list)
def update_eye_state(eye, ear, threshold_open, threshold_closed):
eye.ear = ear
if eye.is_closed:
if ear > threshold_open:
eye.is_closed = False
eye.closed_start = None
eye.closed_frames = 0
else:
if ear < threshold_closed:
eye.is_closed = True
eye.closed_start = time.time()
eye.closed_frames = 1
else:
eye.closed_frames = 0
if eye.is_closed:
eye.closed_frames += 1
return eye
# ---------------------------------------------------------------------------
# Main Tracker
# ---------------------------------------------------------------------------
class EyeGuard2020:
def __init__(self, ear_open=EAR_OPEN_THRESHOLD, ear_closed=EAR_CLOSED_THRESHOLD):
self.ear_open = ear_open
self.ear_closed = ear_closed
self.state = TrackerState()
self.mp_face_mesh = mp.solutions.face_mesh
self.face_mesh = self.mp_face_mesh.FaceMesh(
max_num_faces=1, refine_landmarks=True,
min_detection_confidence=0.5, min_tracking_confidence=0.5
)
self.mp_drawing = mp.solutions.drawing_utils
self.mp_drawing_styles = mp.solutions.drawing_styles
self.running = False
def _smooth_ear(self, history, new_val):
history.append(new_val)
if len(history) > self.state.history_maxlen:
history.pop(0)
return np.median(history)
def process_frame(self, frame: np.ndarray) -> Tuple[np.ndarray, TrackerState]:
h, w = frame.shape[:2]
now = time.time()
self.state.frame_times.append(now)
if len(self.state.frame_times) > 30:
self.state.frame_times.pop(0)
if len(self.state.frame_times) > 1:
self.state.fps = len(self.state.frame_times) / (self.state.frame_times[-1] - self.state.frame_times[0])
rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
rgb.flags.writeable = False
results = self.face_mesh.process(rgb)
rgb.flags.writeable = True
face_visible = results.multi_face_landmarks is not None
if not face_visible:
self.state.last_face_seen = now
if self.state.status in (Status.RESTING, Status.SPOOFING):
if self.state.status == Status.RESTING:
self.state.failed_rests += 1
self.state.status = Status.NO_FACE
self.state.rest_start_time = None
elif self.state.status == Status.ALERT:
pass
else:
self.state.status = Status.NO_FACE
return self._draw_overlay(frame), self.state
self.state.last_face_seen = now
landmarks = results.multi_face_landmarks[0].landmark
ear_left_raw = eye_aspect_ratio(landmarks, LEFT_EYE_IDX, w, h)
ear_right_raw = eye_aspect_ratio(landmarks, RIGHT_EYE_IDX, w, h)
ear_left = self._smooth_ear(self.state.ear_history_left, ear_left_raw)
ear_right = self._smooth_ear(self.state.ear_history_right, ear_right_raw)
self.state.left_eye = update_eye_state(self.state.left_eye, ear_left, self.ear_open, self.ear_closed)
self.state.right_eye = update_eye_state(self.state.right_eye, ear_right, self.ear_open, self.ear_closed)
self._draw_eyes(frame, landmarks, w, h, ear_left, ear_right)
screen_elapsed = now - self.state.screen_timer_start
both_eyes_closed = self.state.left_eye.is_closed and self.state.right_eye.is_closed
one_eye_closed = (self.state.left_eye.is_closed and not self.state.right_eye.is_closed) or \
(not self.state.left_eye.is_closed and self.state.right_eye.is_closed)
if self.state.status == Status.RESTING and one_eye_closed:
self.state.spoofing_detected_at = now
self.state.spoofing_count += 1
self.state.status = Status.SPOOFING
self.state.failed_rests += 1
self.state.rest_start_time = None
return self._draw_overlay(frame), self.state
if self.state.status == Status.ALERT and one_eye_closed:
self.state.spoofing_detected_at = now
self.state.spoofing_count += 1
if self.state.status == Status.SCREENING:
if screen_elapsed >= SCREEN_TIME_ALERT_SECONDS:
self.state.status = Status.ALERT
elif self.state.status == Status.ALERT:
if both_eyes_closed and self.state.left_eye.closed_frames >= MIN_CONSECUTIVE_CLOSED_FRAMES:
self.state.status = Status.RESTING
self.state.rest_start_time = now
elif self.state.status == Status.RESTING:
if not both_eyes_closed:
self.state.failed_rests += 1
self.state.status = Status.ALERT
self.state.rest_start_time = None
else:
rest_elapsed = now - self.state.rest_start_time
if rest_elapsed >= REST_DURATION_SECONDS:
self.state.status = Status.REST_COMPLETE
self.state.rest_completed_time = now
self.state.total_rests_completed += 1
self.state.total_rest_seconds += rest_elapsed
self.state.screen_timer_start = now
elif self.state.status == Status.REST_COMPLETE:
if now - self.state.rest_completed_time > 3.0:
self.state.status = Status.SCREENING
elif self.state.status == Status.SPOOFING:
if now - self.state.spoofing_detected_at > 3.0:
self.state.status = Status.ALERT
elif self.state.status == Status.NO_FACE:
if face_visible:
if screen_elapsed >= SCREEN_TIME_ALERT_SECONDS:
self.state.status = Status.ALERT
else:
self.state.status = Status.SCREENING
return self._draw_overlay(frame), self.state
def _draw_eyes(self, frame, landmarks, w, h, ear_left, ear_right):
left_pts = np.array([
[int(landmarks[i].x * w), int(landmarks[i].y * h)] for i in LEFT_EYE_IDX
], np.int32)
color_left = (0, 255, 0) if not self.state.left_eye.is_closed else (0, 0, 255)
cv2.polylines(frame, [left_pts], True, color_left, 2)
cv2.putText(frame, f"L-EAR: {ear_left:.3f}", (left_pts[0][0] - 30, left_pts[0][1] - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, color_left, 2)
right_pts = np.array([
[int(landmarks[i].x * w), int(landmarks[i].y * h)] for i in RIGHT_EYE_IDX
], np.int32)
color_right = (0, 255, 0) if not self.state.right_eye.is_closed else (0, 0, 255)
cv2.polylines(frame, [right_pts], True, color_right, 2)
cv2.putText(frame, f"R-EAR: {ear_right:.3f}", (right_pts[0][0] - 30, right_pts[0][1] - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, color_right, 2)
def _draw_overlay(self, frame):
h, w = frame.shape[:2]
now = time.time()
overlay = frame.copy()
cv2.rectangle(overlay, (0, 0), (w, 90), (0, 0, 0), -1)
frame = cv2.addWeighted(overlay, 0.6, frame, 0.4, 0)
cv2.putText(frame, "EyeGuard 20-20-20", (10, 30),
cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 255), 2)
cv2.putText(frame, f"FPS: {self.state.fps:.1f}", (w - 120, 30),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 1)
screen_elapsed = now - self.state.screen_timer_start
screen_left = max(0, SCREEN_TIME_ALERT_SECONDS - screen_elapsed)
mins, secs = divmod(int(screen_left), 60)
timer_color = (0, 255, 0) if screen_left > 60 else (0, 165, 255) if screen_left > 30 else (0, 0, 255)
cv2.putText(frame, f"Next break in: {mins:02d}:{secs:02d}", (10, 60),
cv2.FONT_HERSHEY_SIMPLEX, 0.7, timer_color, 2)
banner_y = h - 80
if self.state.status == Status.SCREENING:
msg, color = "Keep working! Eyes healthy.", (0, 255, 0)
elif self.state.status == Status.ALERT:
msg, color = "TIME FOR A BREAK! Close BOTH eyes for 20 seconds", (0, 0, 255)
if int(now * 2) % 2 == 0:
cv2.rectangle(frame, (0, banner_y - 10), (w, banner_y + 40), (0, 0, 255), -1)
elif self.state.status == Status.RESTING:
rest_elapsed = now - self.state.rest_start_time
rest_left = max(0, REST_DURATION_SECONDS - rest_elapsed)
msg, color = f"RESTING... Keep both eyes closed: {rest_left:.1f}s left", (255, 255, 0)
cv2.rectangle(frame, (0, banner_y - 10), (w, banner_y + 40), (255, 255, 0), -1)
elif self.state.status == Status.REST_COMPLETE:
msg, color = "Great job! Break complete. Back to work!", (0, 255, 0)
cv2.rectangle(frame, (0, banner_y - 10), (w, banner_y + 40), (0, 255, 0), -1)
elif self.state.status == Status.SPOOFING:
msg, color = "SPOOFING DETECTED! One eye closed trick won't work!", (0, 0, 255)
cv2.rectangle(frame, (0, banner_y - 10), (w, banner_y + 40), (0, 0, 255), -1)
elif self.state.status == Status.NO_FACE:
msg, color = "No face detected. Please position yourself in front of camera.", (128, 128, 128)
else:
msg, color = "Unknown state", (128, 128, 128)
text_size = cv2.getTextSize(msg, cv2.FONT_HERSHEY_SIMPLEX, 0.8, 2)[0]
text_x = (w - text_size[0]) // 2
bg_color = (0, 0, 0) if self.state.status in (
Status.ALERT, Status.RESTING, Status.REST_COMPLETE, Status.SPOOFING) else None
cv2.putText(frame, msg, (text_x, banner_y + 20),
cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 0) if bg_color else color, 2)
eye_status_y = 110
le_status = "CLOSED" if self.state.left_eye.is_closed else "OPEN"
re_status = "CLOSED" if self.state.right_eye.is_closed else "OPEN"
le_color = (0, 0, 255) if self.state.left_eye.is_closed else (0, 255, 0)
re_color = (0, 0, 255) if self.state.right_eye.is_closed else (0, 255, 0)
cv2.putText(frame, f"Left Eye: {le_status}", (w - 220, eye_status_y),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, le_color, 2)
cv2.putText(frame, f"Right Eye: {re_status}", (w - 220, eye_status_y + 25),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, re_color, 2)
stats_y = h - 10
cv2.putText(frame,
f"Completed: {self.state.total_rests_completed} | Failed: {self.state.failed_rests} | Spoofs: {self.state.spoofing_count}",
(10, stats_y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
return frame
def run(self, source=0):
cap = cv2.VideoCapture(source)
if not cap.isOpened():
print(f"Failed to open video source: {source}")
return
print("=" * 60)
print("EyeGuard 20-20-20 Started!")
print("- Every 20 minutes, close BOTH eyes for 20 seconds")
print("- One-eye tricks are detected and rejected!")
print("- Press 'q' to quit, 'r' to reset screen timer, 't' for test mode")
print("=" * 60)
self.running = True
try:
while self.running:
ret, frame = cap.read()
if not ret:
break
frame = cv2.flip(frame, 1)
annotated, state = self.process_frame(frame)
cv2.imshow("EyeGuard 20-20-20", annotated)
key = cv2.waitKey(1) & 0xFF
if key == ord('q'):
break
elif key == ord('r'):
self.state.screen_timer_start = time.time()
print("Timer reset!")
elif key == ord('t'):
self.state.screen_timer_start = time.time() - SCREEN_TIME_ALERT_SECONDS - 1
print("Test mode: forcing alert!")
finally:
self.running = False
cap.release()
cv2.destroyAllWindows()
self.face_mesh.close()
self._print_summary()
def _print_summary(self):
print("\n" + "=" * 60)
print("SESSION SUMMARY")
print("=" * 60)
print(f"Total rests completed: {self.state.total_rests_completed}")
print(f"Total rest time: {self.state.total_rest_seconds:.1f} seconds")
print(f"Failed rests: {self.state.failed_rests}")
print(f"Spoofing attempts: {self.state.spoofing_count}")
print("=" * 60)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="EyeGuard 20-20-20 Rule Enforcer")
parser.add_argument("--camera", type=int, default=0)
parser.add_argument("--ear-open", type=float, default=EAR_OPEN_THRESHOLD)
parser.add_argument("--ear-closed", type=float, default=EAR_CLOSED_THRESHOLD)
args = parser.parse_args()
guard = EyeGuard2020(ear_open=args.ear_open, ear_closed=args.ear_closed)
guard.run(source=args.camera)