Vision Transformer Based Photo Capturing System

Yıl 2023, Cilt: 11 Sayı: 4, 316 - 321, 22.12.2023

Abdülkadir Albayrak

https://doi.org/10.17694/bajece.1345993

Öz

Portrait photo is one of the most crucial documents that many people need for official transactions in many public and private organizations. Despite the developing technologies and high resolution imaging devices, people need such photographer offices to fulfil their needs to take photos. In this study, a Photo Capturing System has been developed to provide infrastructure for web and mobile applications. After the system detects the person's face, facial orientation and facial expression, it automatically takes a photo and sends it to a graphical user interface developed for this purpose. Then, with the help of the user interface of the photo taken by the system, it is automatically printed out. The proposed study is a unique study that uses imaging technologies, deep learning and vision transformer algorithms, which are very popular image processing techniques in several years. Within the scope of the study, face detection and facial expression recognition are performed with a success rate of close to 100\% and 95.52\%, respectively. In the study, the performances of Vision Transformer algorithm is also compared with the state of art algorithms in facial expression recognition.

Anahtar Kelimeler

Vision transformer, facial expression recognition, photo capturing system, single shot detection, deep learning

Kaynakça

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