Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/3577 2019 2019 Department of Artificial Intelligence and Data Science , Panimalar Engineering College, Chennai, India S. S. Department of Artificial Intelligence and Data Science , Panimalar Engineering College, Chennai, India J. Beryl Sharon Department of Artificial Intelligence and Data Science , Panimalar Engineering College, Chennai, India M. Dharshini Department of Artificial Intelligence and Data Science , Panimalar Engineering College, Chennai, India M. Indu Department of Artificial Intelligence and Data Science , Panimalar Engineering College, Chennai, India SK Mithun Department of Artificial Intelligence and Data Science , Panimalar Engineering College, Chennai, India C. Sathish Kumar Face recognition technology plays a vital role in modern educational systems by enabling efficient and accurate student identification. The growing demand for efficient and accurate student identification systems has highlighted the limitations of conventional face recognition methods, particularly in handling variations in pose, lighting, and occlusions. To address this, our Precision-Optimized Human Recognition Model builds an Adaptive Information Retrieval System utilizing a Histogram of Oriented Gradients (HOG)-based detector for face detection and a ResNet-34-based Deep Metric Learning Model for face recognition. The system encodes facial features and performs identity verification using Euclidean distance for precise and reliable student identification. By integrating these techniques, the model ensures real-time data retrieval with high accuracy and adaptability to diverse conditions. The proposed approach enhances computational efficiency while maintaining robust recognition performance, making it a scalable and practical solution for identity verification in educational institutions. 2025 2025 19 27 10.54216/JISIoT.160102 https://www.americaspg.com/articleinfo/18/show/3577