Norfarariyanti Parimon

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About

Norfarariyanti Parimon is a researcher focused at the intersection of computer vision, robotics, and biometric authentication. Her work centers on developing intelligent vision systems for robotic platforms, with particular emphasis on real-time face detection and positioning algorithms. In her notable 2015 paper "Face Detection and Auto Positioning for Robotic Vision System" (6 citations), she explored how fractal-based analysis can enhance computer vision in robotic applications, addressing the unique challenges of processing space photogrammetric snapshots captured across multiple spectral ranges. Her 2016 work "Towards real-time visual biometric authentication using human face for healthcare telepresence mobile robots" (2 citations) advances the application of facial recognition technology in healthcare robotics, enabling secure, real-time biometric authentication for telepresence systems that facilitate two-way audiovisual communication. This research contributes to improving patient care by allowing robots to verify identities and provide virtual presence for human-robot interaction. Parimon's work represents an important step toward integrating robust visual biometrics into mobile robotic platforms, addressing both the technical challenges of real-time processing and the practical requirements of healthcare deployment.