Görüntü tabanlı veri kullanarak çalışanların duygu analizi

Today, artificial intelligence and machine learning are used in many fields. Artificial intelligence and machine learning methods are used for many jobs that can be conducted with human intelligence and perception. In recent years, these approaches have been used frequently especially in object perception and classification. With the development of the techniques and equipment used, the success rate increases rapidly. Face detection and face detection is an area where these technologies are frequently used. Almost all the applications and web sites we use this technology are encountered. In addition to long-term technologies such as face detection from picture or from video, technologies such as face recognition are also used for security purposes. Facial recognition and face detection are included in our daily lives with many similar areas. The thesis is aimed to design a solution that detects the emotions of people through visual data by using face detection and face recognition technologies using a method free of personal data and reporting them individually or in groups. In order to provide a solution, a general system was developed to analyze the emotion on the face data that was drawn into the scope of the thesis. With this system, emotion analysis is conducted and reporting is provided by using artificial intelligence methods based on personal data collected from terminals.