Finger print detection by Krishnam Goyal

Today, one of our customer Krishnam Goyal Worked on and shared a nice OpenCV based code to detect hand (fingers) using simple camera module and python code.

This is not a tutorial but just a shared post to congratulate Krishnam for nice work and to encourage to create more such projects.

Its the photo of Krishnam doing the experiment and code

Python Code

import cv2 as cvimport mediapipe as mpimport timecap = cv.VideoCapture(0)class handDetector(): def __init__(self, mode = False,maxHands = 2, detectionCon = 0.5, trackcon = 0.5): self.mode = mode self.maxHands = maxHands self.detectionCon = detectionCon self.trackcon = trackcon self.mpHands = mp.solutions.hands self.hands = self.mpHands.Hands(self.mode,self.maxHands,self.detectionCon,self.trackcon) self.mpDarw = mp.solutions.drawing_utils def findHands(self,img,draw = True): imgRgb = cv.cvtColor(img, cv.COLOR_BGR2RGB) self.results = self.hands.process(imgRgb) if self.results.multi_hand_landmarks: for handLms in self.results.multi_hand_landmarks: if draw: self.mpDarw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS) return img def findposition(self,img,handNo = 0, draw=True): lmlist = [] myHand = self.results.multi_hand_landmarks[handNo] if self.results.multi_hand_landmarks: for id, lm in enumerate(myHand.landmark): # print(id,lm) h, w, c = img.shape cx, cy = int(lm.x * w), int(lm.y * h) lmlist.append(id, c, cy) # print(id, cx, cy) # if id == 4: # cv.circle(img, (cx, cy), 25, (255, 0, 255), cv.FILLED)' return lmlistdef main(): Pt = 0 cT = 0 #cap = cv.imread(0) cap = cv.VideoCapture(0) detector = handDetector() while True: success, img = cap.read() img = detector.findHands(img) detector, cT = time.time() fps = 1/(cT-Pt) Pt = cT cv.putText(img,str(int(fps)),(18, 78), cv.FONT_HERSHEY_COMPLEX,3,(255,0,255)) # if fps >= 20: # cv.putText(img, str(int(20)), (180, 78), cv.FONT_HERSHEY_COMPLEX, 3, (255, 0, 255)) cv.imshow("Video", img) cv.waitKey(1) if (__name__ == "__main__"): main()

The modules needed to run this code

• OpenCV contrib (pip3 install opencv-contrib-python)

• mediapipe (pip3 install mediapipe)

Feel free to experiment with this code.