Skeletal data, as used in machine learning, is the abbreviated depiction of the human body as a set of points, usually representing bones and joints. This kind of data, which…
In light of its uses in security, authentication systems, and user Interaction platforms, face recognition technology has attracted a lot of attention lately. For face detection and recognition in one of my projects, I experimented with a hybrid technique that used the VGG-16 model and MTCNN (Multi-task Cascaded Convolutional Networks). This article explores the architectures of these models, how they are optimized for best performance, and how they cooperate to produce effective face recognition. Recognizing VGG-16's Function in Face Recognition Popular deep learning architecture VGG-16 is renowned for its efficiency and ease of use. It comprises of 16 layers,…
Biometric authentication has become essential for safeguarding sensitive data and systems as digital security demands rise. Traditional methods like passwords and PINs are vulnerable to hacking and are now considered…