Face recognition using machine learning on a Raspberry-Pi device

V diplomskem delu smo raziskovali svet biometričnih sistemov, bolj podrobno metodo razpoznavanja obrazov in jih opisali. V raziskavi smo se osredotočili na razvoj programske opreme razpoznavanja obrazov v obsegu, ki nam jih je ponudila naprava Raspberry-Pi, ter programski jezik Python in uporaba obsežne knjižnice imenovane OpenCV, s pomočjo katerih je bilo možno razvijanje metode za razpoznavanje obrazov s pomočjo strojnega učenja. Po ustvarjeni programski rešitvi smo uporabnost in namen diplomskega dela predstavili na primeru odklepanja fizičnega miniaturnega primera škatle.We researched the world of biometric systems, a more detailed method of facial recognition, and described them in this thesis. The research focused on the development of the facial recognition software offered bythe Raspberry-Pi platform, the Python programming language and the useof an extensive library called OpenCV, which made it possible to develop a method for recognising faces using Machine Learning. After creating the software solution, we presented the usability and purpose of the diploma thesis with the help of a physical miniature example of a bo