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#!/usr/bin/env python3
"""
Simple Safety Monitor Demo - Just Person Detection
Tests basic camera and person detection functionality.
"""
import cv2
import time
import sys
from ultralytics import YOLO
import numpy as np
def main():
print("🔒 Simple Safety Monitor Demo")
print("============================")
print("This demo just detects people to test basic functionality")
print("Controls: SPACE=pause, S=save, Q=quit")
print("-" * 50)
try:
# Initialize YOLO model
print("Loading YOLO model...")
model = YOLO('yolov8n.pt')
print("✅ Model loaded")
# Print available classes
print("📋 Available detection classes:")
for i, class_name in model.names.items():
if i < 10: # Show first 10 classes
print(f" {i}: {class_name}")
print(" ... and more")
print()
# Initialize camera
print("🎥 Connecting to camera...")
cap = cv2.VideoCapture(0)
if not cap.isOpened():
print("❌ Could not open camera")
return 1
# Set camera properties
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
print("✅ Camera connected")
print("🔍 Starting detection... Press Q to quit")
print()
# Stats
frame_count = 0
fps_start = time.time()
people_detected = 0
while True:
ret, frame = cap.read()
if not ret:
print("Failed to grab frame")
break
frame_count += 1
# Run detection
results = model(frame, conf=0.5, verbose=False)
# Process results
people_count = 0
for result in results:
boxes = result.boxes
if boxes is not None:
for box in boxes:
# Get class info
class_id = int(box.cls[0])
class_name = model.names[class_id]
confidence = float(box.conf[0])
# Only process people
if class_name == 'person' and confidence > 0.5:
people_count += 1
people_detected += 1
# Get bounding box
x1, y1, x2, y2 = map(int, box.xyxy[0])
# Draw green box for person
cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
# Add label
label = f"Person: {confidence:.2f}"
cv2.putText(frame, label, (x1, y1-10),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
# Add stats to frame
stats_text = [
f"People in frame: {people_count}",
f"Total detected: {people_detected}",
f"Press Q to quit, SPACE to pause"
]
for i, text in enumerate(stats_text):
cv2.putText(frame, text, (10, 30 + i * 25),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 2)
# Calculate FPS
if frame_count % 30 == 0:
fps = 30 / (time.time() - fps_start)
fps_start = time.time()
print(f"\r📊 FPS: {fps:.1f} | People: {people_count} | Total: {people_detected}",
end='', flush=True)
# Show frame
cv2.imshow('Simple Safety Monitor - Person Detection', frame)
# Handle keys
key = cv2.waitKey(1) & 0xFF
if key == ord('q') or key == 27:
break
elif key == ord('s'):
filename = f"detection_capture_{int(time.time())}.jpg"
cv2.imwrite(filename, frame)
print(f"\n📸 Saved: {filename}")
elif key == ord(' '):
print("\n⏸️ Paused - press any key to continue")
cv2.waitKey(0)
print("▶️ Resumed")
except Exception as e:
print(f"\n❌ Error: {e}")
return 1
finally:
if 'cap' in locals():
cap.release()
cv2.destroyAllWindows()
print(f"\n\n✅ Demo completed!")
print(f" Total people detected: {people_detected}")
return 0
if __name__ == "__main__":
sys.exit(main()) |