Merge pull request #2 from dpozimski/develop

Develop

LicensePlateCharsExtractor/README.md

@@ -0,0 +1,15 @@
+# Recognition of license plates in the picture
+
+The project is responsible for finding license plates in the pictures from the parking lot
+
+1. The image is converted to shades of gray
+2. By thresholding, we make a stamp from the photo (threshold). Then we can find and mark contours and detect geometrical figures in the picture.
+3. Then, search for license plate contours and their verification:
+- remove the contours located at the image edge
+- search for contours with 4 vertices
+- check if the angles between the straight lines are within the given range
+- check the straight lines proportions
+4. We create a mask based on the received vertices and cut the license plate from the picture. We get a vector describing the license plate
+5. We rotate the license plate to get the shape of a rectangle
+6. We cut 20 pixels from the left to remove the blue bar from license plate
+7. Using a separate application, we created a model table for the neural network learning

ParkingSystem/README.md

@@ -0,0 +1,19 @@
+# Smart automated parking payment system
+
+Business application which detects license plates with image processing, basing on photos taken by a camera installed under the entrance barrier.
+Application communicates with opencv program sending photo to C++ project.
+It returns license plate. 
+Information is saved in the database and there are windows alerts about events assigned to the section.
+
+Application send communication about car's arrive.
+Arrival time is saved in database with read license number.
+In logs there is an information about parking beginning - it is flagged with a green arrow.
+In the case of sending the same photo to the database, driver gets an e-mail about costs from wp.pl domain.
+Meanwhile in logs there is an information about end of parking - it is flagged with a red arrow.
+Parking time is calculated from car's arrive to departure. Cost is 3 PLN per 1 hour.
+
+Technologies:
+1. WPF - graphical subsystem which renders application window.
+2. Server which listens on port 12358 for all post requests with photos in .jpg format.
+3. Application communicates with opencv project using proxy.
+4. SQLite database using Entity Framework 

ParkingSystem/RestServer/Server.cs

@@ -13,7 +13,7 @@ public class Server : IDisposable
 
         public void Start()
         {
-            server = new RESTServer();
+            server = new RESTServer(port: "12358");
             server.Start();
 
             if(!server.IsListening)

ParkingSystem/UI/Utils/Toaster.cs

@@ -3,8 +3,10 @@
 using System.Linq;
 using System.Text;
 using System.Threading.Tasks;
+using System.Windows;
 using Hardcodet.Wpf.TaskbarNotification;
 using ParkingSystem.UI.ViewModels.Core;
+using ParkingSystem.UI.Views.Core;
 
 namespace ParkingSystem.UI.Utils
 {
@@ -13,8 +15,10 @@ public static class Toaster
         public static void Show(ShellViewModel rootVm, string message)
         {
             var icon = BalloonIcon.Info;
-            rootVm.HWND.Dispatcher.BeginInvoke(new Action(() =>
-                rootVm.HWND.TaskbarIcon.ShowBalloonTip("ArcadiaSync", message, icon)));
+            Application.Current.Dispatcher.BeginInvoke(new Action(() =>
+            {
+                ((Shell)Application.Current.MainWindow).TaskbarIcon.ShowBalloonTip("ParkingSystem", message, icon);
+            }));     
         }
     }
 }

ParkingSystem/UI/ViewModels/Core/ShellViewModel.cs

@@ -16,8 +16,6 @@ public DateTime Now
             get { return DateTime.Now; }
         }
 
-        public Shell HWND { get; set; }
-
         public ShellViewModel()
         {
             InitTimer();

ParkingSystem/UI/ViewModels/LogsViewModel.cs

@@ -10,10 +10,11 @@
 using ParkingSystem.ImageHandlerWorker;
 using ParkingSystem.DriversRepository.DAL;
 using ParkingSystem.UI.Utils;
+using System.Windows;
 
 namespace ParkingSystem.UI.ViewModels
 {
-    public class LogsViewModel : ViewModelBase
+    public class LogsViewModel : ViewModelBase, IDisposable
     {
         private LogsDAL _logsDal;
         private WorkerFacade _workerFacade;
@@ -39,7 +40,7 @@ private void OnNumberPlateArrived(object sender, NumberPlateEventArgs e)
         {
             var vm = new LogViewModel(e.Log);
 
-            RootViewModel.HWND.Dispatcher.BeginInvoke(new Action(() =>
+            Application.Current.Dispatcher.BeginInvoke(new Action(() =>
             {
                 Logs.Add(vm);
 
@@ -49,5 +50,10 @@ private void OnNumberPlateArrived(object sender, NumberPlateEventArgs e)
                     $"{e.Owner.FirstName} {e.Owner.LastName} {e.Owner.NumberPlateNumber} needs to pay {e.Price.Value.ToString("N2")} PLN");
             }));
         }
+
+        public void Dispose()
+        {
+            _workerFacade.Dispose();
+        }
     }
 }

ParkingSystem/UI/Views/Core/Shell.xaml

@@ -60,7 +60,7 @@
                 </TabItem>
 
                 <TabItem Header="Logs">
-                    <views:LogsView>
+                    <views:LogsView x:Name="LogsView">
                         <views:LogsView.DataContext>
                             <vm:LogsViewModel />
                         </views:LogsView.DataContext>

ParkingSystem/UI/Views/Core/Shell.xaml.cs

@@ -1,6 +1,8 @@
 using MahApps.Metro.Controls;
 using System.Drawing;
 using ParkingSystem.UI.ViewModels.Core;
+using System.ComponentModel;
+using System;
 
 namespace ParkingSystem.UI.Views.Core
 {
@@ -12,8 +14,12 @@ public partial class Shell : MetroWindow
         public Shell()
         {
             DataContext = new ShellViewModel();
-            (DataContext as ShellViewModel).HWND = this;
             InitializeComponent();
         }
+
+        protected override void OnClosing(CancelEventArgs e)
+        {
+            (LogsView.DataContext as IDisposable).Dispose();
+        }
     }
 }

README.md

@@ -1,2 +1,4 @@
 # ai-parking-system
 Parking system with number plate recognition using neural network.
+
+[![Watch the video](http://github.com/dpozimski/ai-parking-system/tree/develop/Resources/application.jpg)](http://www.youtube.com/watch?v=uCqBg6iALBg&feature=youtu.be)