Digitalization of Objects using Augmented Reality and Machine learning - A Secure and Seamless Approach

With the ascent of digitalization and artificial intelligence, there is an increasing demand for intelligent systems across industries. Machine Learning (ML) drives this evolution by enabling computers to learn autonomously without explicit programming, thereby amplifying the capabilities of digital systems. Moreover, ML enhances cybersecurity by aiding anomaly detection, threat identification, and pattern recognition, bolstering digital security measures. Augmented Reality (AR) engines, powered by ML advancements, transform human-computer interaction. AR's capabilities extend beyond projecting digital imagery into the physical world; it now accurately identifies individuals and objects, removes backgrounds seamlessly, and transmits results securely. Our innovative app revolutionizes AR by seamlessly transposing physical objects into digital environments by using BASNet for Scale Invariant Feature Transformation (SIFT) and detecting objects using YOLO v7. By eliminating the need for third-party services and facilitating direct scanning of physical objects into digital environments, the app ensures optimal pixel quality. Moreover, it prioritizes cybersecurity by employing secure transmission protocols and encryption standards to safeguard data during transfer. This seamless fusion of AR and ML not only enhances user experiences but also fortifies digital security, marking a significant step forward in technological advancement.