Track position and movement of the projectile

[Paul Wandendeya]

This code interface the app with camera sensors and track the projectile's position and movement

Is it correct?

from kivy.app import App

from kivy.uix.boxlayout import BoxLayout

from kivy.uix.label import Label

from kivy.uix.button import Button

from kivy.clock import Clock

from kivy.vector import Vector

import numpy as np

import cv2

class ProjectileTracker(BoxLayout):

    def __init__(self, **kwargs):

        super(ProjectileTracker, self).__init__(**kwargs)

        self.orientation = 'vertical'

        # Labels to display projectile position and movement

        self.position_label = Label(text='Projectile Position: (0, 0)', font_size=24)

        self.velocity_label = Label(text='Projectile Velocity: (0, 0)', font_size=24)

        self.acceleration_label = Label(text='Projectile Acceleration: (0, 0)', font_size=24)

        # Buttons to start and stop tracking

        self.start_button = Button(text='Start Tracking', on_press=self.start_tracking)

        self.stop_button = Button(text='Stop Tracking', on_press=self.stop_tracking)

        self.add_widget(self.position_label)

        self.add_widget(self.velocity_label)

        self.add_widget(self.acceleration_label)

        self.add_widget(self.start_button)

        self.add_widget(self.stop_button)

        # Initialize projectile properties

        self.position = np.array([0, 0])

        self.velocity = np.array([0, 0])

        self.acceleration = np.array([0, -9.81])  # Assuming gravity is the only force

        self.is_tracking = False

        self.clock_event = None

        # Initialize camera

        self.camera = cv2.VideoCapture(0)

        self.camera.set(cv2.CAP_PROP_FRAME_WIDTH, 640)

        self.camera.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)

    def start_tracking(self, instance):

        self.is_tracking = True

        self.clock_event = Clock.schedule_interval(self.update_projectile, 0.01)

        self.clock_event = Clock.schedule_interval(self.update_from_camera, 0.01)

    def stop_tracking(self, instance):

        self.is_tracking = False

        Clock.unschedule(self.clock_event)

        self.camera.release()

    def update_projectile(self, dt):

        # Update position, velocity, and acceleration

        self.position += self.velocity * dt

        self.velocity += self.acceleration * dt

        # Update the labels

        self.position_label.text = f'Projectile Position: ({self.position[0]:.2f}, {self.position[1]:.2f})'

        self.velocity_label.text = f'Projectile Velocity: ({self.velocity[0]:.2f}, {self.velocity[1]:.2f})'

        self.acceleration_label.text = f'Projectile Acceleration: ({self.acceleration[0]:.2f}, {self.acceleration[1]:.2f})'

    def update_from_camera(self, dt):

        # Capture a frame from the camera

        ret, frame = self.camera.read()

        # Perform image processing to detect the projectile

        # and update the position, velocity, and acceleration

        # based on the detected projectile position

        # Update the labels with the new values

        self.position_label.text = f'Projectile Position: ({self.position[0]:.2f}, {self.position[1]:.2f})'

        self.velocity_label.text = f'Projectile Velocity: ({self.velocity[0]:.2f}, {self.velocity[1]:.2f})'

        self.acceleration_label.text = f'Projectile Acceleration: ({self.acceleration[0]:.2f}, {self.acceleration[1]:.2f})'

class ProjectileApp(App):

    def build(self):

        return ProjectileTracker()

if __name__ == '__main__':

    ProjectileApp().run()

```

The main changes are:

1. Added the `update_from_camera` method, which is called every 0.01 seconds to capture a frame from the camera, perform image processing to detect the projectile, and update the position, velocity, and acceleration of the projectile based on the detected position.

2. Initialized the camera with the desired frame size (640x480 in this example) in the `__init__` method.

3. Scheduled the `update_from_camera` method in the `start_tracking` method, and released the camera in the `stop_tracking` method.

Note that the actual image processing and detection of the projectile is not implemented in this code snippet, as it would depend on the specific use case and the type of projectile being tracked. You would need to add the necessary computer vision and image processing logic to detect the projectile and update its position, velocity, and acceleration accordingly.

Also, keep in mind that this is a simplified example, and you may need to add additional features, error handling, and optimization to make it suitable for a real-world application.