This application was inspired by one of teachers I work with wanting to check occupancy of different areas in the school library. I had been using the Computer Vision service to try and identify objects around my home and office which had been moderately successful but not terribly useful or accurate.
I added the Azure Cognitive Services Computer Vision API NuGet packages to my Visual Studio 2017 Windows IoT Core project.
Then I initialised the Computer Vision API client
try
{
this.computerVisionClient = new ComputerVisionClient(
new Microsoft.Azure.CognitiveServices.Vision.ComputerVision.ApiKeyServiceClientCredentials(this.azureCognitiveServicesSubscriptionKey),
new System.Net.Http.DelegatingHandler[] { })
{
Endpoint = this.azureCognitiveServicesEndpoint,
};
}
catch (Exception ex)
{
this.logging.LogMessage("Azure Cognitive Services Computer Vision client configuration failed " + ex.Message, LoggingLevel.Error);
return;
}
Every time the digital input is strobed by the passive infra red motion detector an image is captured, then uploaded for processing, and finally results displayed. For this sample I’m looking for categories which indicate the image is of a group of people (The categories are configured in the appsettings file)
{
"InterruptPinNumber": 24,
"interruptTriggerOn": "RisingEdge",
"DisplayPinNumber": 35,
"AzureCognitiveServicesEndpoint": "https://australiaeast.api.cognitive.microsoft.com/",
"AzureCognitiveServicesSubscriptionKey": "1234567890abcdefghijklmnopqrstuv",
"ComputerVisionCategoryNames":"people_group,people_many",
"LocalImageFilenameFormatLatest": "{0}.jpg",
"LocalImageFilenameFormatHistoric": "{1:yyMMddHHmmss}.jpg",
"DebounceTimeout": "00:00:30"
}
If any of the specified categories are identified in the image I illuminate a Light Emitting Diode (LED) for 5 seconds, if an image is being processed or the minimum period between images has not passed the LED is illuminated for 5 milliseconds .
private async void InterruptGpioPin_ValueChanged(GpioPin sender, GpioPinValueChangedEventArgs args)
{
DateTime currentTime = DateTime.UtcNow;
Debug.WriteLine($"Digital Input Interrupt {sender.PinNumber} triggered {args.Edge}");
if (args.Edge != this.interruptTriggerOn)
{
return;
}
// Check that enough time has passed for picture to be taken
if ((currentTime - this.imageLastCapturedAtUtc) < this.debounceTimeout)
{
this.displayGpioPin.Write(GpioPinValue.High);
this.displayOffTimer.Change(this.timerPeriodDetectIlluminated, this.timerPeriodInfinite);
return;
}
this.imageLastCapturedAtUtc = currentTime;
// Just incase - stop code being called while photo already in progress
if (this.cameraBusy)
{
this.displayGpioPin.Write(GpioPinValue.High);
this.displayOffTimer.Change(this.timerPeriodDetectIlluminated, this.timerPeriodInfinite);
return;
}
this.cameraBusy = true;
try
{
using (Windows.Storage.Streams.InMemoryRandomAccessStream captureStream = new Windows.Storage.Streams.InMemoryRandomAccessStream())
{
this.mediaCapture.CapturePhotoToStreamAsync(ImageEncodingProperties.CreateJpeg(), captureStream).AsTask().Wait();
captureStream.FlushAsync().AsTask().Wait();
captureStream.Seek(0);
IStorageFile photoFile = await KnownFolders.PicturesLibrary.CreateFileAsync(ImageFilename, CreationCollisionOption.ReplaceExisting);
ImageEncodingProperties imageProperties = ImageEncodingProperties.CreateJpeg();
await this.mediaCapture.CapturePhotoToStorageFileAsync(imageProperties, photoFile);
ImageAnalysis imageAnalysis = await this.computerVisionClient.AnalyzeImageInStreamAsync(captureStream.AsStreamForRead());
Debug.WriteLine($"Tag count {imageAnalysis.Categories.Count}");
if (imageAnalysis.Categories.Intersect(this.categoryList, new CategoryComparer()).Any())
{
this.displayGpioPin.Write(GpioPinValue.High);
// Start the timer to turn the LED off
this.displayOffTimer.Change(this.timerPeriodFaceIlluminated, this.timerPeriodInfinite);
}
LoggingFields imageInformation = new LoggingFields();
imageInformation.AddDateTime("TakenAtUTC", currentTime);
imageInformation.AddInt32("Pin", sender.PinNumber);
Debug.WriteLine($"Categories:{imageAnalysis.Categories.Count}");
imageInformation.AddInt32("Categories", imageAnalysis.Categories.Count);
foreach (Category category in imageAnalysis.Categories)
{
Debug.WriteLine($" Category:{category.Name} {category.Score}");
imageInformation.AddDouble($"Category:{category.Name}", category.Score);
}
this.logging.LogEvent("Captured image processed by Cognitive Services", imageInformation);
}
}
catch (Exception ex)
{
this.logging.LogMessage("Camera photo or save failed " + ex.Message, LoggingLevel.Error);
}
finally
{
this.cameraBusy = false;
}
}
private void TimerCallback(object state)
{
this.displayGpioPin.Write(GpioPinValue.Low);
}
internal class CategoryComparer : IEqualityComparer<Category>
{
public bool Equals(Category x, Category y)
{
if (string.Equals(x.Name, y.Name, StringComparison.OrdinalIgnoreCase))
{
return true;
}
return false;
}
public int GetHashCode(Category obj)
{
return obj.Name.GetHashCode();
}
}
I found that the Computer vision service was pretty good at categorising photos of images like this displayed on my second monitor as containing a group of people.
The debugging output of the application includes the different categories identified in the captured image.
Digital Input Interrupt 24 triggered RisingEdge Digital Input Interrupt 24 triggered FallingEdge 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Diagnostics.DiagnosticSource.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Collections.NonGeneric.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Runtime.Serialization.Formatters.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Diagnostics.TraceSource.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Collections.Specialized.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Drawing.Primitives.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Runtime.Serialization.Primitives.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Data.Common.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Xml.ReaderWriter.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'C:\Data\Programs\WindowsApps\Microsoft.NET.CoreFramework.Debug.2.2_2.2.27505.2_arm__8wekyb3d8bbwe\System.Private.Xml.dll'. Skipped loading symbols. Module is optimized and the debugger option 'Just My Code' is enabled. 'backgroundTaskHost.exe' (CoreCLR: CoreCLR_UWP_Domain): Loaded 'Anonymously Hosted DynamicMethods Assembly'. Tag count 1 Categories:1 Category:people_group 0.8671875 The thread 0x634 has exited with code 0 (0x0).
I used an infrared motion sensor to trigger capture and processing of an image to simulate a application for detecting if there is a group of people in an area of the school library.
I’m going to run this application alongside one of my time-lapse applications to record a days worth of images and manually check the accuracy of the image categorisation. I think that camera location maybe important as well so I’ll try a selection of different USB cameras and locations.
I also found the small PIR motion detector didn’t work very well in a larger space so I’m going to trial a configurable sensor and a repurposed burglar alarm sensor.
