Added the thief detection function.

DBHelper.py

@@ -214,5 +214,12 @@ def remove_removal_data():
     db.child("signal").child("3").remove()
 
 
+# Uploads the data of specified thief into firebase.
+def upload_thief_data(thief_id, date, time):
+    data = {"Date": date, "Time": time}
+    db.child("Thieves").child(thief_id).set(data)
+
+
 if __name__ == "__main__":
-    upload_data("User_3", "RandomFirst", "RandomLast", "Random@gmail.com", "0000000000")
+    upload_register_data("RandomFirst", "RandomLast", "Random@gmail.com", "0000000000")
+    upload_removal_data("RandomFirst", "RandomLast", "Random@gmail.com", "0000000000")

Facial_Recognition_Inference.py

@@ -3,6 +3,9 @@ import dlib
 import cv2
 import numpy as np
 import DBHelper
+import time
+import Upload_Thief
+
 
 def inference():
     try:
@@ -30,6 +33,7 @@ def inference():
     x1 = x2 = y1 = y2 = 0
 
     cond = False
+    t = 0
 
     while DBHelper.get_power() == "on":
         t = time.time()
@@ -97,10 +101,16 @@ def inference():
         elif not cond:
             DBHelper.set_motor("off")
             DBHelper.set_alarm("on")
+            t += 1
+            time.sleep(1)
+            if t == 120:
+                Upload_Thief.upload_thief_face()
+                DBHelper.set_power("off")
 
     DBHelper.set_alarm("off")
     DBHelper.set_motor("off")
     cv2.destroyAllWindows()
 
+
 if __name__ == "__main__":
-    inference()
+    inference()

UI/.idea/compiler.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="CompilerConfiguration">
+    <bytecodeTargetLevel target="1.8" />
+  </component>
+</project>

UI/.idea/gradle.xml

@@ -14,6 +14,7 @@
           </set>
         </option>
         <option name="resolveModulePerSourceSet" value="false" />
+        <option name="useQualifiedModuleNames" value="true" />
       </GradleProjectSettings>
     </option>
   </component>

UI/.idea/misc.xml

@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="ProjectRootManager" version="2" languageLevel="JDK_1_7" project-jdk-name="1.8" project-jdk-type="JavaSDK">
+  <component name="ProjectRootManager" version="2" languageLevel="JDK_1_8" default="true" project-jdk-name="1.8" project-jdk-type="JavaSDK">
     <output url="file://$PROJECT_DIR$/build/classes" />
   </component>
   <component name="ProjectType">

Upload_Face.py

@@ -24,9 +24,14 @@ def upload_your_face(firstname, lastname, email, phone):
         print("Success.")
     except:
         DBHelper.upload_data("User_1", firstname, lastname, email, phone)
+        print("Face registration start...")
         Facial_Recognition_Registration.register_your_face("User_1")
+        print("Data saved! Starting enrollment...")
+        Facial_Recognition_Enrollment.enroll_face_dataset()
+        print("Face registration completed!")
         for i in range(50):
             DBHelper.upload_user_photo("User_1/" + str(i) + ".jpg")
+        print("Success.")
 
 
 if __name__ == "__main__":

Upload_Thief.py

@@ -0,0 +1,37 @@
+import DBHelper
+import Facial_Recognition_Registration
+import Facial_Recognition_Enrollment
+from datetime import datetime
+
+
+def upload_thief_face():
+    # Determines thief ID before adding the data to the database.
+    # Thief ID is determined from number of user dataset in database
+    # Later on it starts face recognition system and uploads it into the database based on the given thief ID.
+    thieves = DBHelper.db.child("Thieves").get()
+    try:
+        count = 1
+        for thief in thieves.each():
+            count += 1
+        Facial_Recognition_Registration.register_your_face("Thief_" + str(count))
+        Facial_Recognition_Enrollment.enroll_face_dataset()
+        for i in range(50):
+            DBHelper.upload_thief_photo("Thief_" + str(count) + "/" + str(i) + ".jpg")
+        date = datetime.now().strftime("%d/%m/%Y")
+        time = datetime.now().strftime("%H:%M:%S")
+        DBHelper.upload_thief_data("Thief_" + str(count), date, time)
+        print("An intruder is recorded.")
+    except:
+        DBHelper.upload_thief_data("Thief_1", date, time)
+        Facial_Recognition_Registration.register_your_face("Thief_1")
+        Facial_Recognition_Enrollment.enroll_face_dataset()
+        for i in range(50):
+            DBHelper.upload_thief_photo("Thief_1/" + str(i) + ".jpg")
+        date = datetime.now().strftime("%d/%m/%Y")
+        time = datetime.now().strftime("%H:%M:%S")
+        DBHelper.upload_thief_data("Thief_" + str(count), date, time)
+        print("An intruder is recorded.")
+
+
+if __name__ == "__main__":
+    upload_thief_face()