Meadow.Foundation.Sensors.Camera.Mlx90640 1.15.0.1-beta

Meadow.Foundation.Sensors.Camera.Mlx90640

Mlx90640 I2C far infrared thermal sensor array camera

The Mlx90640 library is included in the Meadow.Foundation.Sensors.Camera.Mlx90640 nuget package and is designed for the Wilderness Labs Meadow .NET IoT platform.

This driver is part of the Meadow.Foundation peripherals library, an open-source repository of drivers and libraries that streamline and simplify adding hardware to your C# .NET Meadow IoT applications.

For more information on developing for Meadow, visit developer.wildernesslabs.co.

To view all Wilderness Labs open-source projects, including samples, visit github.com/wildernesslabs.

Installation

You can install the library from within Visual studio using the the NuGet Package Manager or from the command line using the .NET CLI:

dotnet add package Meadow.Foundation.Sensors.Camera.Mlx90640

Usage

Mlx90640 sensor;

public override Task Initialize()
{
    Resolver.Log.Info("Initialize...");

    var i2cBus = Device.CreateI2cBus(I2cBusSpeed.Fast);
    sensor = new Mlx90640(i2cBus);

    return Task.CompletedTask;
}

public override Task Run()
{
    bool showTempArrayAsAsciiArt = false;

    Resolver.Log.Info("Run sample...");

    float[] frame;

    Resolver.Log.Info($"Serial #:{sensor.SerialNumber}");

    sensor.SetMode(Mlx90640.Mode.Chess);
    Resolver.Log.Info($"Current Mode: {sensor.GetMode()}");

    sensor.SetResolution(Mlx90640.Resolution.EighteenBit);
    Resolver.Log.Info($"Current resolution: {sensor.GetResolution()}");

    sensor.SetRefreshRate(Mlx90640.RefreshRate._2hz);
    Resolver.Log.Info($"Current frame rate: {sensor.GetRefreshRate()}");

    Resolver.Log.Info($"Broken Pixels: {sensor.Config.BrokenPixels.Count}");
    Resolver.Log.Info($"Outlier Pixels: {sensor.Config.OutlierPixels.Count}");
    Resolver.Log.Info($"Broken Pixels has adjacent broken pixel: {sensor.Config.BrokenPixelHasAdjacentBrokenPixel}");
    Resolver.Log.Info($"Broken Pixels has adjacent Outlier pixel: {sensor.Config.BrokenPixelHasAdjacentOutlierPixel}");
    Resolver.Log.Info($"Outlier Pixels has adjacent Outlier pixel: {sensor.Config.OutlierPixelHasAdjacentOutlierPixel}");

    Thread.Sleep(2000);

    while (true)
    {
        Thread.Sleep(1000);

        frame = sensor.ReadRawData();

        Resolver.Log.Info("");

        //Print out each value
        for (byte h = 0; h < 24; h++)
        {
            StringBuilder logLine = new StringBuilder();
            for (byte w = 0; w < 32; w++)
            {
                float t = frame[h * 32 + w];
                //View sensor data as ASCII art. It is easier to see shapes, like your fingers.
                if (!showTempArrayAsAsciiArt)
                {
                    //Write the Temp value
                    logLine.Append($"{t:0},");
                }
                else
                {
                    //Write the ASCII art character
                    char c = '&';
                    if (t < 68) c = ' ';
                    else if (t < 73.4) c = '.';
                    else if (t < 77) c = '-';
                    else if (t < 80.6) c = '*';
                    else if (t < 84) c = '+';
                    else if (t < 87) c = 'x';
                    else if (t < 91) c = '%';
                    else if (t < 95) c = '#';
                    else if (t < 98.6) c = '$';
                    logLine.Append(c);
                }
            }

            Resolver.Log.Info(logLine.ToString());
        }
    }
}

How to Contribute

• Found a bug? Report an issue
• Have a feature idea or driver request? Open a new feature request
• Want to contribute code? Fork the Meadow.Foundation repository and submit a pull request against the develop branch

Need Help?

If you have questions or need assistance, please join the Wilderness Labs community on Slack.

About Meadow

Meadow is a complete, IoT platform with defense-grade security that runs full .NET applications on embeddable microcontrollers and Linux single-board computers including Raspberry Pi and NVIDIA Jetson.

Build

Use the full .NET platform and tooling such as Visual Studio and plug-and-play hardware drivers to painlessly build IoT solutions.

Connect

Utilize native support for WiFi, Ethernet, and Cellular connectivity to send sensor data to the Cloud and remotely control your peripherals.

Deploy

Instantly deploy and manage your fleet in the cloud for OtA, health-monitoring, logs, command + control, and enterprise backend integrations.