ai_camera_recognition.py

import cv2
import numpy as np

# -------------------------
#  AI RECOGNITION VIA CAMERA
# -------------------------

def recognize_ai_from_camera(model_path=None):
    """
    Attempts to recognize a user's AI (e.g., a visual marker, QR code, or face) using the webcam.
    If a model_path is provided, loads a custom AI recognition model (placeholder for extension).
    """
    cap = cv2.VideoCapture(0)
    if not cap.isOpened():
        print("Camera not accessible.")
        return None

    print("Press 'q' to quit.")
    recognized = False
    while True:
        ret, frame = cap.read()
        if not ret:
            print("Failed to capture frame.")
            break

        # Example: Try to detect a QR code as a stand-in for AI identity
        detector = cv2.QRCodeDetector()
        data, bbox, _ = detector.detectAndDecode(frame)
        if bbox is not None and data:
            print(f"AI Identity Detected: {data}")
            recognized = True
            cv2.polylines(frame, [np.int32(bbox)], True, (0,255,0), 2)
            cv2.putText(frame, f"AI: {data}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255,0), 2)
        else:
            cv2.putText(frame, "No AI detected", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0,0,255), 2)

        cv2.imshow('AI Recognition', frame)
        if cv2.waitKey(1) & 0xFF == ord('q') or recognized:
            break

    cap.release()
    cv2.destroyAllWindows()
    if recognized:
        return data
    else:
        print("No AI identity recognized.")
        return None

if __name__ == "__main__":
    recognize_ai_from_camera()