It is now recognized that the learner is no longer passive, he becomes the main actor of his training. There are, in fact, the part of the learner, an appropriation work that is taking place and the trainer, a specific work to promote learning. In order to offer to our students a better education, we began to discover some techno approaches crossing innovative teaching and set up two educational modalities that we experienced in Institute of Higher Technological Studies IHTS of Gabes for the students having speciality of telecommunications and networking by the introduction of flipped classroom and serious games. This was followed by a comparison of different pedagogical approaches tested to detect their contributions and limitations.

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This paper proposes the recognition of bank notes through a mobile intelligent vision system under Android and this, based on an approach of artificial vision of images using the SIFT algorithm under OPENCV whose principle is to detect the remarkable points of this image and compare it with the image saved in the local database on a handheld device. Finally, the system informs the user of the result by a sound indicating the value of the currency detected. The SIFT algorithm proposed can achieve a higher percentage of identification in a reduced time compared to results achieved by classic SIFT.