Generally, we always try to use sensors which do not require any calibration. But, in some cases, we cannot work around this step, in particular if you need to compensate an external perturbation. All the Yoctopuce sensors have the possibility to automatically apply a correction to the value returned by the sensor. Let's see how it works.
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From time to time, some customers complain that the Yocto-3D-V2 lacks reactivity. But each time, it's due to a misunderstanding of our API. Indeed, to use the Yocto-3D-V2 efficiently, you must imperatively use callbacks. To illustrate this issue in an entertaining way, we have decided to show you how to correctly use a Yocto-3D-V2 in a Unity 5 game engine.
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Several customers have tried to use our C++ or C# libraries with Windows 10 IoT on a Raspberry Pi. Unfortunately, this doesn't work because Windows 10 IoT is not a "true" Windows: it doesn't allow you to run Win32 applications. You can run only the new universal applications. We are currently working on a solution which would allow you to use our modules on all the Windows 10 versions, including Windows IoT. This post gives us the opportunity to review the matter...
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This week, we are continuing our series of articles for the beginners. This time, we will have a look at the logical structure of Yoctopuce devices, and how to use it. If you are a beginner, we suggest that you read this article carefully, as it will allow you to get the best from your Yoctopuce devices.
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When we announced the Yocto-Color-V2, we explained that this new version can drive up to 146 NeoPixel leds. However, to use this new feature, you must use a new API that we are going to discover in this post.
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