python

Copy code

import time

import random

class VehicleOccupantDetection:

    def __init__(self):

        self.presence_verified = False

        self.occupant_location = None

        self.seat_layout = {

            ‘front_row’: [‘driver’, ‘passenger’],

            ‘middle_row’: [‘seat1’, ‘seat2’, ‘seat3’],

            ‘back_row’: [‘seat1’, ‘seat2’, ‘seat3’]

        }

    def radar_sensor_simulation(self):

        “””

        Simulates radar sensor detection. In real implementation,

        radar sensors would send signals and return proximity data.

        “””

        # Simulate detection of a human by checking object size and proximity

        detected_object_size = random.randint(50, 120)  # Simulate size in cm

        human_detected = detected_object_size >= 90  # Assuming the size threshold for detection

        print(f”Radar detected object with size {detected_object_size} cm”)

        return human_detected

    def verify_presence(self):

        “””

        Verifies the presence of a human for a predefined number of cycles.

        In a real-world scenario, this would involve confirming the object detected

        is a human through machine learning-based verification.

        “””

        print(“Verifying presence…”)

        for cycle in range(4):  # Verify over 4 additional cycles

            if self.radar_sensor_simulation():

                print(f”Cycle {cycle+1}: Presence verified”)

                time.sleep(1)  # Simulate time delay per cycle

            else:

                print(f”Cycle {cycle+1}: No presence detected”)

                return False

        self.presence_verified = True

        return True

    def track_location(self):

        “””

        Tracks the location of the occupant once presence is verified.

        It assigns the occupant to a seat based on predefined seat layout.