update

SensorsArd/SensorsArd.ino

@@ -55,7 +55,7 @@ void loop() {
     //if (Serial.read() == 'o') {
       digitalWrite(relayPin, HIGH);
       playBuzzer(300,true);
-      delay(7000);
+      delay(4000);
       digitalWrite(relayPin, LOW);
       IROK = false;
       UltraOK = false;

faces/names.json

@@ -1 +1 @@
-["", "Hesham", "Saeed"]
+["", "Hesham", "Aidarous"]

main.py

@@ -37,6 +37,7 @@ def init():
 		go = False
 	if (go):
 		print('Starting Photo loop..')
+		print('Known people are '+str(loadNames()))
 		start(camera, face_cascade)
 		
 	else: 
@@ -57,7 +58,7 @@ def start( camera, face_cascade):
 		camera.capture(rawCapture, format="bgr")
 		img = rawCapture.array
 		gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-		faces = face_cascade.detectMultiScale(gray, 1.2,5)
+		faces = face_cascade.detectMultiScale(gray, 1.3,5)
 		i = 0;
 		for (x,y,w,h) in faces:
 			i += 1
@@ -65,9 +66,11 @@ def start( camera, face_cascade):
 			roi_gray = gray[y:y+h, x:x+w]
 			roi_color = img[y:y+h, x:x+w]
 			person = recognize(roi_gray)
-			if person == 'Hesham' or person == 'Saeed':#Change to if 'unknown' elif openShifter
+			if not person == 'unknown':
 				OpenShifter()
 				print('Sending to Arduino!')
+			else:
+				print('Found unknown face')
 			cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
 			cv2.putText(img, person, (x, y), cv2.FONT_HERSHEY_PLAIN, 1.7, (255, 0, 0), 2)
 			
@@ -89,7 +92,8 @@ def recognize(image):
 	face_recognizer.load('faces/m')
 	img = image.copy()
 	label= face_recognizer.predict(img)
-	if label[1] > 120:
+	if label[1] > 100:
+		print(str(label))
 		return 'unknown'
 	else:
 		print(str(label) + ' >>'+names[label[0]])

trainer.py

@@ -125,3 +125,4 @@ def addName(newName):
 	with open("faces/names.json","w") as write_file:
 		json.dump(names,write_file)
 
+start()