Human face recognition (Computer science). Abstract: Increasingly, the Internet of Things is promoting all types of embedded devices and operating systems for these devices. The aim of this project is to develop library capable of running applications developed for .NET Micro Framework (virtual machine for embedded devices) on devices that can run any version of Linux. The idea is that using this library a developer can execute any application developed for .NET Micro Framework in any desktop computer or embedded device running Linux, for example Raspberry Pi. This thesis presents the approach and the development of IOSharp which is an implementation in C# of the system discussed above. Once this implementation has been done, a test phase has been done with existing applications. In this case, it has been proved that the performance of this library is not optimal compared with the original one. At this point is where started another of the main contributions to the project, participating in the development of a tool called AlterNative which is able to translate applications written in .NET to C++, In this way it has been possible to analyse the improvement of this library after translating it with AlterNative.