Manar Kashmola

Papers

Total Citations

H-Index

About

Dr. Manar Kashmola is a rising researcher in robotics and intelligent surveillance systems, with a focus on embedded vision and autonomous navigation. Her most cited work, "Development on Autonomous Object Tracker Robot using Raspberry Pi" (2022, 6 citations), demonstrates her early contributions to low-cost, real-time tracking platforms that integrate deep learning with edge computing. By leveraging architectures like RCNN on compact hardware, Kashmola addresses critical challenges in automated monitoring—enabling systems that not only detect motion but actively follow targets, reducing reliance on human oversight. This work lays groundwork for accessible robotics in security, remote monitoring, and productivity enhancement. While her citation count reflects a developing career, Kashmola’s research signals a practical, hardware-software co-design approach that bridges computer vision and embedded systems. Her contributions are particularly relevant for students and engineers seeking cost-effective solutions for autonomous tracking, and her trajectory suggests growing influence in the intersection of AI and robotics for real-world surveillance applications.