Software consulting and software development of algorithms for face recognition. Investigation of different algorithms and neural networks for the recognition of faces in photos and videos.
Client: Camera manufacturer
Techniques: C++, Visual Studio 2017, OpenCV, TFS a.o.
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Preceded by a performance study to estimate which algorithms are the fastest for which cameras. Several neural networks (machine learning) were used and compared. The length of the learning depends on the quality.
Our customer develops cameras for infrared images. Up to now, there have been no suitable algorithms to reliably recognize faces in photos and videos. We developed a reliable solution, handed over extensive documentation, the learning files, and the code for further development.
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