Human detector light is detected by car head light

import cv2
import numpy as np
import tensorflow as tf

model = tf.keras.applications.MobileNetV2(weights="imagenet")


def preprocess_image(image):
    img = cv2.resize(image, (224, 224))
    img = img.astype("float32")
    img = tf.keras.applications.mobilenet_v2.preprocess_input(img)
    img = np.expand_dims(img, axis=0)
    return img

def is_human_detected(predictions):
    for _, label, score in predictions[0]:
        if label == "person" and score > 0.5:
            return True
    return False

def stop_car():
    print("Human detected! Stopping the car.")


cap = cv2.VideoCapture(0) 

while cap.isOpened():
    ret, frame = cap.read()
    if not ret:
        break
    
   
    preprocessed_image = preprocess_image(frame)
    
    
    predictions = model.predict(preprocessed_image)
    
    
    decoded_predictions = tf.keras.applications.mobilenet_v2.decode_predictions(predictions, top=1)
    
    
    if is_human_detected(decoded_predictions):
        stop_car()
    
   
    cv2.imshow('Headlight Camera', frame)
    
   
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release the video capture and destroy all windows
cap.release()
cv2.destroyAllWindows()