.gitignore

@@ -1,4 +1,3 @@
 *.[Jj][Pp][Gg]
 *.pyc
 *.suo
-*.png

.project

@@ -1,17 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<projectDescription>
-	<name>FaceRecognition-python</name>
-	<comment></comment>
-	<projects>
-	</projects>
-	<buildSpec>
-		<buildCommand>
-			<name>org.python.pydev.PyDevBuilder</name>
-			<arguments>
-			</arguments>
-		</buildCommand>
-	</buildSpec>
-	<natures>
-		<nature>org.python.pydev.pythonNature</nature>
-	</natures>
-</projectDescription>

.pydevproject

@@ -1,5 +0,0 @@
-<?xml version="1.0" encoding="UTF-8" standalone="no"?>
-<?eclipse-pydev version="1.0"?><pydev_project>
-<pydev_property name="org.python.pydev.PYTHON_PROJECT_INTERPRETER">Default</pydev_property>
-<pydev_property name="org.python.pydev.PYTHON_PROJECT_VERSION">python interpreter</pydev_property>
-</pydev_project>

README.md

@@ -1 +1 @@
-### Python code to run in Raspberry Pi with PiCamera to recognize certin faces.
+### Python code to run in Raspberry Pi with PiCamera to recognize certin faces and send a Serial signal 'o' to be received by arduino. 

SensorsArd/SensorsArd.ino

@@ -7,9 +7,7 @@ const int buzzerPin = 3;
 int inputVal = 0;
 long duration;
 int distance;
-boolean IROK = false;
+char piInput = 'N';
-boolean UltraOK = false;
-char pi = 'N';
 
 void setup() {
   pinMode(trigPin, OUTPUT);
@@ -26,35 +24,35 @@ void setup() {
 
 void loop() {
 
-  IROK = false;
-  UltraOK = false;
-  pi = 'N';
 
-  distance = readDistance();
+  boolean IROK = false;
+  boolean UltraOK = false;
+  // Clears the trigPin
+  digitalWrite(trigPin, LOW);  
+  delayMicroseconds(2);
+  // Sets the trigPin on HIGH state for 10 micro seconds
+  digitalWrite(trigPin, HIGH);
+  delayMicroseconds(10);
+  digitalWrite(trigPin, LOW);
+  // Reads the echoPin, returns the sound wave travel time in microseconds
+  duration = pulseIn(echoPin, HIGH);
+  // Calculating the distance
+  distance= duration*0.034/2;
+
   if (distance < 70) UltraOK = true;  
   else UltraOK = false;
+
   if(digitalRead(ProxSensor) == LOW ) IROK = true;
   else  IROK = false;
-
+  char pi = 'N';
-  
+  if (Serial.available() > 0) { pi = Serial.read(); }
-  if (Serial.available() > 0) {
-    pi = Serial.read();
-  }
-
   delay(500);
-
   Serial.println(pi);
   Serial.println(IROK);
   Serial.println(UltraOK);
-
+  //if (IROK && UltraOK) Serial.println("A");
   if (IROK && UltraOK && pi == 'o'){
-    openShifter();
+    //if (Serial.read() == 'o') {
-  }
-  IROK = false;
-  UltraOK = false;
-}
-
-void openShifter() {
       digitalWrite(relayPin, HIGH);
       playBuzzer(300,true);
       delay(7000);
@@ -63,6 +61,10 @@ void openShifter() {
       UltraOK = false;
       pi = 'N';
       serialFlush();
+    //}
+  }
+  IROK = false;
+  UltraOK = false;
 }
 
 void serialFlush(){
@@ -82,17 +84,10 @@ void playBuzzer(int time, boolean ok) {
   
 }
 
-int readDistance() {
-  // Clears the trigPin
-  digitalWrite(trigPin, LOW);
-  delayMicroseconds(2);
-  // Sets the trigPin on HIGH state for 10 micro seconds
-  digitalWrite(trigPin, HIGH);
-  delayMicroseconds(10);
-  digitalWrite(trigPin, LOW);
-  // Reads the echoPin, returns the sound wave travel time in microseconds
-  duration = pulseIn(echoPin, HIGH);
-  // Calculating the distance
-  return duration * 0.034 / 2;
 
-}
+
+
+
+
+
+

faces/names.json

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

main.py

@@ -1,11 +1,10 @@
 
 from time import sleep
-from PIL import Image
+from io import BytesIO
 import os
 import serial
 import sys
 import json
-import datetime
 
 try:
     import numpy as np
@@ -19,7 +18,7 @@ except Exception as ex:
 
 def init():
 	go = True
-	print('Initilizing..')
+	print('Initilizing Camera and cascade components..')
 	try:
 		camera = PiCamera()
 		camera.resolution = (640, 480)
@@ -36,82 +35,66 @@ def init():
 	except:
 		print('[ Error ] Can not load cascade File')
 		go = False
-	try: 
-		os.mkdir('unknown')
-	except OSError as ex:
-		print('Found (unknown) folder')
-		
 	if (go):
 		print('Starting Photo loop..')
-		print('Known people are '+str(loadNames()))
 		start(camera, face_cascade)
 		
 	else: 
 		print('closing')
+	#else:
+		#print('Sensors not Satisfied')
 	
 def start( camera, face_cascade):
 	j = 0
 	rawCapture = PiRGBArray(camera)
-	face_recognizer = cv2.createLBPHFaceRecognizer()
+	#camera.framerate = 32
-	face_recognizer.load('faces/h')
+	#rawCapture = PiRGBArray(camera, size=(640, 480))
-	names = loadNames()
+	#for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):	
 	while 1:
-		try:
+	#try:
+		#camera.capture('img.jpg')
+		#img = cv2.imread('img.jpg',1)
 		camera.capture(rawCapture, format="bgr")
-		except:
-			print('[ Error ] Can not capture image. Restarting..')
-			init()
 		img = rawCapture.array
 		gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-		faces = face_cascade.detectMultiScale(gray, 1.3,5)
+		faces = face_cascade.detectMultiScale(gray, 1.2,5)
-		i = 0
+		i = 0;
 		for (x,y,w,h) in faces:
 			i += 1
 			j += 1
-			try:
 			roi_gray = gray[y:y+h, x:x+w]
 			roi_color = img[y:y+h, x:x+w]
-				person = recognize(roi_gray, face_recognizer, names)
+			person = recognize(roi_gray)
-				cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),1)
+			if person == 'Hesham' or person == 'Saeed':#Change to if 'unknown' elif openShifter
-				cv2.putText(img, person, (x, y), cv2.FONT_HERSHEY_PLAIN, 1.7, (0,255,0), 2)
-			except:
-				print('[ Error ] Recognition fail')
-			if person == 'unknown':
-				print('Found unknown person')
-				try:
-					RGBImage = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
-					image = Image.fromarray(RGBImage)
-					image.save('unknown/'+str(datetime.datetime.now())+'.png')
-				except Exception as ex :
-					print('[ Error ] Saving unkown fail')
-					print(ex)
-			else:
-				print('Found '+person)
 				OpenShifter()
+				print('Sending to Arduino!')
+			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)
+			
 		cv2.imshow('image',img) 
-		cv2.waitKey(1)
+		cv2.waitKey(100)
 		rawCapture.truncate(0)
 		if cv2.waitKey(1) & 0xFF == ord('q'):
 			cv2.destroyAllWindows()
 			break
 		
+		#except:
+			#print('[ Error ] Unexpected exception')
+			#print('Closing')
+			#break
 
-def recognize(image,face_recognizer, names):
+def recognize(image):
-	
+	names = loadNames()
-	try:
+	face_recognizer = cv2.createLBPHFaceRecognizer()
+	face_recognizer.load('faces/m')
 	img = image.copy()
 	label= face_recognizer.predict(img)
-	except:
+	if label[1] > 120:
-		print('[ Error ] Error in Recognize() function')
-	if label[1] > 70:
-		print(str(label))
 		return 'unknown'
 	else:
 		print(str(label) + ' >>'+names[label[0]])
 		return names[label[0]]
 		
-#def DrawSquares(image,gray,faces,color):
-
 def OpenShifter():
 	try:
 		ser = serial.Serial('/dev/ttyUSB0',9600)
@@ -119,22 +102,13 @@ def OpenShifter():
 		ser.write('o')
 		ser.close()
 	except Exception as ex:
-		print('[ Error ] Can not connect to Arduino at /dev/ttyUSB0 ..')
-		try:
-			ser = serial.Serial('/dev/ttyUSB1',9600)
-			ser.open()
-			ser.write('o')
-			ser.close()
-		except:
 		print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..')
 
 def loadNames():
-	try:
+	
 	with open("faces/names.json", "r") as read_file:
 		data = json.load(read_file)
 		return list(data)
-	except:
-		print('[ Error ] Error in loadNames() function')
 
 
 init()

trainer.py

@@ -7,10 +7,10 @@ import os
 import sys
 import json
 
+
 picCount = 0
 new = False
 
-
 def start():
 	print('Starting training..')
 	label = int(input('Label (Integer): '))
@@ -32,14 +32,12 @@ def start():
 	addPerson(label, newFileName, oldFileName)
 	addName(name)
 
-
 def clearTrainFolder():
 	print('clearing train folder')
 	filelist = [ f for f in os.listdir('train/') if f.endswith(".jpg") ]
 	for f in filelist:
 		os.remove(os.path.join('train/', f))
 
-
 def addPerson(label, newFileName, oldFileName):
 	try:
 		#faceFilePath = '/faces/hesham-saeed2'
@@ -47,9 +45,9 @@ def addPerson(label, newFileName, oldFileName):
 		face_recognizer = cv2.createLBPHFaceRecognizer()
 		global new
 		if new:
-            print('new file. skipping load function')
+			print 'new file. skipping load function'
 		else:
-            print('loading old file')
+			print 'loading old file'
 			face_recognizer.load(faceFile)
 	except:
 		print('[ Error ] Problem in init/loading LBPHfacerecognizer')
@@ -78,7 +76,6 @@ def addPerson(label, newFileName, oldFileName):
 	face_recognizer.save('faces/'+newFileName)
 	print('Updated and saved file in faces/'+newFileName) 
 
-
 def capture(count):
 	try:
 		print('Initializing camera')
@@ -100,7 +97,6 @@ def capture(count):
 	cv2.destroyAllWindows()
 	print('Done!')
 
-
 def promptNew():
 	filemode = raw_input('Make new File? (y/n): ')
 	if filemode == 'y':
@@ -111,8 +107,8 @@ def promptNew():
 		print('incorrect input')
 		promptNew()
 
-
 def addName(newName):
+	
 	with open("faces/names.json", "r") as read_file:
 		exist = False
 		namesJson = json.load(read_file)
@@ -129,5 +125,3 @@ def addName(newName):
 	with open("faces/names.json","w") as write_file:
 		json.dump(names,write_file)
 
-
-start()