Formatting

.project

@@ -0,0 +1,17 @@
+<?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

@@ -0,0 +1,5 @@
+<?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 and send a Serial signal 'o' to be received by arduino. 
+### Python code to run in Raspberry Pi with PiCamera to recognize certin faces.

SensorsArd/SensorsArd.ino

@@ -7,7 +7,9 @@ const int buzzerPin = 3;
 int inputVal = 0;
 long duration;
 int distance;
-char piInput = 'N';
+boolean IROK = false;
+boolean UltraOK = false;
+char pi = 'N';
 
 void setup() {
   pinMode(trigPin, OUTPUT);
@@ -15,7 +17,7 @@ void setup() {
   pinMode(LED_BUILTIN, OUTPUT);
   pinMode(relayPin, OUTPUT);
   pinMode(buzzerPin, OUTPUT);
-  pinMode(ProxSensor,INPUT);
+  pinMode(ProxSensor, INPUT);
   digitalWrite(buzzerPin, LOW);
   digitalWrite(relayPin, LOW);
   Serial.begin(9600);
@@ -24,9 +26,63 @@ void setup() {
 
 void loop() {
 
+  IROK = false;
+  UltraOK = false;
+  pi = 'N';
 
-  boolean IROK = false;
+  distance = readDistance();
-  boolean UltraOK = false;
+  if (distance < 70) UltraOK = true;
+  else UltraOK = false;
+  if (digitalRead(ProxSensor) == LOW ) IROK = true;
+  else  IROK = false;
+
+  
+  if (Serial.available() > 0) {
+    pi = Serial.read();
+  }
+
+  delay(500);
+
+  Serial.println(pi);
+  Serial.println(IROK);
+  Serial.println(UltraOK);
+
+  if (IROK && UltraOK && pi == 'o') {
+    openShifter();
+  }
+  IROK = false;
+  UltraOK = false;
+}
+
+void openShifter() {
+  digitalWrite(relayPin, HIGH);
+  playBuzzer(300, true);
+  delay(7000);
+  digitalWrite(relayPin, LOW);
+  IROK = false;
+  UltraOK = false;
+  pi = 'N';
+  serialFlush();
+}
+
+void serialFlush() {
+  while (Serial.available() > 0) {
+    char t = Serial.read();
+  }
+}
+
+void playBuzzer(int time, boolean ok) {
+  tone(buzzerPin, 3000);
+  delay(time / 2);
+  noTone(buzzerPin);
+  delay(100);
+  tone(buzzerPin, 3000);
+  delay(time / 2);
+  noTone(buzzerPin);
+
+}
+
+int readDistance() {
   // Clears the trigPin
   digitalWrite(trigPin, LOW);
   delayMicroseconds(2);
@@ -37,56 +93,6 @@ void loop() {
   // Reads the echoPin, returns the sound wave travel time in microseconds
   duration = pulseIn(echoPin, HIGH);
   // Calculating the distance
-  distance= duration*0.034/2;
+  return 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(); }
-  delay(500);
-  Serial.println(pi);
-  Serial.println(IROK);
-  Serial.println(UltraOK);
-  //if (IROK && UltraOK) Serial.println("A");
-  if (IROK && UltraOK && pi == 'o'){
-    //if (Serial.read() == 'o') {
-      digitalWrite(relayPin, HIGH);
-      playBuzzer(300,true);
-      delay(4000);
-      digitalWrite(relayPin, LOW);
-      IROK = false;
-      UltraOK = false;
-      pi = 'N';
-      serialFlush();
-    //}
-  }
-  IROK = false;
-  UltraOK = false;
-}
-
-void serialFlush(){
-  while(Serial.available() > 0) {
-    char t = Serial.read();
-  }
-}
-
-void playBuzzer(int time, boolean ok){
-  tone(buzzerPin, 3000);
-  delay(time/2);
-  noTone(buzzerPin);
-  delay(100);
-  tone(buzzerPin, 3000);
-  delay(time/2);
-  noTone(buzzerPin);
 
 }
-
-
-
-
-
-
-
-

main.py

@@ -64,7 +64,7 @@ def start( camera, face_cascade):
 		img = rawCapture.array
 		gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 		faces = face_cascade.detectMultiScale(gray, 1.3,5)
-		i = 0;
+		i = 0
 		for (x,y,w,h) in faces:
 			i += 1
 			j += 1
@@ -110,6 +110,8 @@ def recognize(image,face_recognizer, names):
 		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)

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): '))
@@ -32,22 +32,24 @@ 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") ]
+    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'
+        # faceFilePath = '/faces/hesham-saeed2'
-		faceFile = 'faces/'+ oldFileName
+        faceFile = 'faces/' + 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')
@@ -63,18 +65,19 @@ def addPerson(label, newFileName, oldFileName):
         gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
         face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
         faces = face_cascade.detectMultiScale(gray, 1.3, 5)
-		for (x,y,w,h) in faces:
+        for (x, y, w, h) in faces:
-			images.append(gray[y:y+h, x:x+w])
+            images.append(gray[y:y + h, x:x + w])
             labels.append(label)
-			cv2.imshow('face',gray[y:y+h, x:x+w])
+            cv2.imshow('face', gray[y:y + h, x:x + w])
             cv2.waitKey(100)
-			print('Learning '+ image_name)
+            print('Learning ' + image_name)
     if new:
         face_recognizer.train(images, np.array(labels))
     else:
         face_recognizer.update(images, np.array(labels))
-	face_recognizer.save('faces/'+newFileName)
+    face_recognizer.save('faces/' + newFileName)
-	print('Updated and saved file in faces/'+newFileName) 
+    print('Updated and saved file in faces/' + newFileName)
+
 
 def capture(count):
     try:
@@ -86,17 +89,18 @@ def capture(count):
     except:
         print('[ Error ] Can not initialize PiCamera')
         sys.exit()
-	for i in range(1, count+1):
+    for i in range(1, count + 1):
-		pic = 'train/'+str(i)+'.jpg'
+        pic = 'train/' + str(i) + '.jpg'
         camera.capture(pic)
-		photo = cv2.imread(pic,1)
+        photo = cv2.imread(pic, 1)
-		cv2.imshow('Photo',photo)
+        cv2.imshow('Photo', photo)
-		print('Captured '+str(i)+'\nPath '+ pic)
+        print('Captured ' + str(i) + '\nPath ' + pic)
         cv2.waitKey(100)
         sleep(1)
     cv2.destroyAllWindows()
     print('Done!')
 
+
 def promptNew():
     filemode = raw_input('Make new File? (y/n): ')
     if filemode == 'y':
@@ -107,8 +111,8 @@ def promptNew():
         print('incorrect input')
         promptNew()
 
-def addName(newName):
 
+def addName(newName):
     with open("faces/names.json", "r") as read_file:
         exist = False
         namesJson = json.load(read_file)
@@ -117,12 +121,13 @@ def addName(newName):
         for name in names:
             if newName == name:
                 exist = True
-				print('name already in names list with index '+str(i))
+                print('name already in names list with index ' + str(i))
             i += 1
         if not exist:
             names.append(newName)
-			print('Added '+newName+'to names.json file')
+            print('Added ' + newName + 'to names.json file')
-	with open("faces/names.json","w") as write_file:
+    with open("faces/names.json", "w") as write_file:
-		json.dump(names,write_file)
+        json.dump(names, write_file)
+
 
 start()