Devershi Pallavi Bhatt

Manipal Academy of Higher Education, Manipal University Jaipur

Papers

Total Citations

H-Index

About

Devershi Pallavi Bhatt is a researcher focused on the intersection of augmented reality (AR) and real-time object detection, with a particular emphasis on optimizing system latency. Her major contributions center on developing marker-based AR systems that minimize delay, a critical challenge for applications in robotics and dynamic environments. Bhatt’s most cited work, "Optimizing latency time of the AR system through glyph detection" (2018), proposes a method to reduce response times by leveraging glyph-based markers, directly addressing the need for faster, more reliable AR interactions. Her subsequent studies, including "Development of marker-based augmented reality system for object detection in an optimum latency time" (2019), further refine these techniques, demonstrating how precise marker design and algorithmic adjustments can achieve near-real-time performance. While her citation counts (4 and 3, respectively) reflect a focused, emerging impact, Bhatt’s work is notable for tackling a practical bottleneck in AR deployment—latency—which is essential for seamless human-machine collaboration. Her research offers foundational insights for students and engineers aiming to enhance the responsiveness of AR systems in real-world applications, from robotics to interactive simulations.