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import cv2 import mediapipe as mp from math import hypot from ctypes import cast, POINTER from comtypes import CLSCTX_ALL from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume import numpy as np cap = cv2.VideoCapture(1) mpHands = mp.solutions.hands hands = mpHands.Hands() mpDraw = mp.solutions.drawing_utils devices = AudioUtilities.GetSpeakers() interface = devices.Activate(IAudioEndpointVolume._iid_, CLSCTX_ALL, None) volume = cast(interface, POINTER(IAudioEndpointVolume)) volMin, volMax = volume.GetVolumeRange()[:2] current_vol = volume.GetMasterVolumeLevel() # Smoothing parameters alpha = 0.2 # Adjust this value for smoother changes while True: success, img = cap.read() imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) results = hands.process(imgRGB) lmList = [] if results.multi_hand_landmarks: for handlandmark in results.multi_hand_landmarks: for id, lm in enumerate(handlandmark.landmark): h, w, _ = img.shape cx, cy = int(lm.x * w), int(lm.y * h) lmList.append([id, cx, cy]) mpDraw.draw_landmarks(img, handlandmark, mpHands.HAND_CONNECTIONS) if lmList: x1, y1 = lmList[4][1], lmList[4][2] x2, y2 = lmList[8][1], lmList[8][2] cv2.circle(img, (x1, y1), 4, (255, 0, 0), cv2.FILLED) cv2.circle(img, (x2, y2), 4, (255, 0, 0), cv2.FILLED) cv2.line(img, (x1, y1), (x2, y2), (255, 0, 0), 3) length = hypot(x2 - x1, y2 - y1) target_vol = np.interp(length, [15, 220], [volMin, volMax]) current_vol = alpha * target_vol + (1 - alpha) * current_vol # Smoothing volume.SetMasterVolumeLevel(current_vol, None) # Display rounded volume level on the screen cv2.putText(img, f"Vol: {int(round(current_vol))}%", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2) cv2.imshow('Image', img) if cv2.waitKey(1) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows()

Gesture-Controlled Volume Adjustment using Python 🎮🔊 Source Code 👇🏻

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