Author: Manikanta Mani

Webcam: abhi

Rating: Excellent (5 out of 5)

Date: 12 October 2026 at 06:31

Advantages of the webcam:
super

Disadvantages of the webcam:
noting

Author’s comment:
import cv2 import mediapipe as mp import numpy as np from ctypes import cast, POINTER from comtypes import CLSCTX_ALL from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume # Connect to the Windows master-volume control speakers = AudioUtilities.GetSpeakers() volume = speakers.EndpointVolume # Start webcam and hand tracking cap = cv2.VideoCapture(0) mp_hands = mp.solutions.hands mp_draw = mp.solutions.drawing_utils with mp_hands.Hands( max_num_hands=1, min_detection_confidence=0.7, min_tracking_confidence=0.7 ) as hands: while cap.isOpened(): success, frame = cap.read() if not success: break frame = cv2.flip(frame, 1) height, width, _ = frame.shape rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) result = hands.process(rgb) message = "Show your hand" if result.multi_hand_landmarks: hand = result.multi_hand_landmarks[0] mp_draw.draw_landmarks( frame, hand, mp_hands.HAND_CONNECTIONS ) # Thumb tip and index-finger tip thumb = hand.landmark[4] index = hand.landmark[8] # Distance between thumb and index finger pinch_distance = np.hypot( thumb.x - index.x, thumb.y - index.y ) # Pinch fingers together to enable volume control if pinch_distance < 0.06: # Move the pinched hand up/down to change volume level = np.clip(1.0 - index.y, 0.0, 1.0) volume.SetMasterVolumeLevelScalar( float(level), None ) message = f"Volume: {int(level * 100)}%" else: message = "Pinch thumb + index to control" cv2.putText( frame, message, (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2 ) cv2.imshow("Hand Gesture Volume Control", frame) # Press Q to exit if cv2.waitKey(1) & 0xFF == ord("q"): break cap.release() cv2.destroyAllWindows()