Theseus - Selaus asiasanan mukaan "automated pattern recognition"
Viitteet 1-6 / 6
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Automatic attendance system in the workplace based on face recognition in Real-Time using the Principal Component Analysis method and Eigenface technique
(2022)As attendance is a necessary activity for every company to determine the working time of an individual, many attendance methods have since been developed to meet the needs and be widely applied, such as PIN codes, fingerprints, ... -
Automatic classification of cardiomegaly using deep convolutional neural network
(2022)Chest radiograph is a primary imaging technique to detect cardiomegaly, a condition where the heart is enlarged. A fast reliable diagnosis is crucial as it would assist the clinicians to decide on the right treatment ... -
Comparative Analysis of Pre-Trained Models and Interpolation for Facial Expression Recognition
(2023)This study presents a comprehensive examination of facial emotion detection using the FER 2013 dataset. In numerous disciplines, including psychology, human-computer interface, and marketing research, efficient facial ... -
Face recognition techniques & challenges
(2024)Facial recognition technology has quickly become a critical component of today's security, authentication, and social networking systems. This study presents various face recognition techniques and discusses the challenges ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Real-time emotion detection using python
(2023)The thesis aims to learn more about the machine learning model and develop the model to explore the use of computer vision techniques using Python and Convolutional Neural Networks (CNNs). By developing an CNNs model to ... -
Recognition and classification of mechanical tools through machine learning
(2023)This thesis presents a study on recognizing mechanical tools by classification through machine learning. The research is to develop a model that can accurately classify several mechanical tools based on their physical ...




