Suman Bhakar

Manipal Academy of Higher Education, Manipal University Jaipur

Papers

Total Citations

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About

Suman Bhakar is a researcher focused on advancing augmented reality (AR) systems, with a particular emphasis on optimizing latency and improving real-time object detection. Their work addresses a critical challenge in AR: the need for rapid, responsive systems that can seamlessly integrate with real-time applications, such as robotics. Bhakar’s major contributions include developing marker-based AR systems that achieve optimum latency times through innovative glyph detection methods. Their most-cited paper, "Optimizing latency time of the AR system through glyph detection" (2018, 4 citations), explores how reducing delay enhances the performance of AR in dynamic environments. This work is complemented by two closely related studies (2019, 3 and 2 citations) that further refine marker-based detection for efficient object monitoring. While their citation counts are modest, Bhakar’s research is notable for tackling a foundational issue in AR—latency—which is crucial for the technology’s practical deployment in robotics and other real-time fields. Their contributions provide a stepping stone for future innovations in responsive AR systems, making their work valuable for students and researchers interested in the intersection of computer vision, human-computer interaction, and robotics.