Nuha Ilya binti Rasidi

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About

Nuha Ilya binti Rasidi is a robotics and embedded systems researcher whose work centers on autonomous surveillance technologies and real-time object detection. Her most-cited paper, "Development on Autonomous Object Tracker Robot using Raspberry Pi" (2022, 6 citations), introduces a cost-effective, portable surveillance solution that integrates a Raspberry Pi-based platform with motion-tracking algorithms. This research addresses critical gaps in traditional fixed-camera systems by enabling remote monitoring and autonomous target following, significantly improving productivity in security applications. Rasidi’s contribution lies in bridging low-cost hardware with intelligent software, making advanced surveillance accessible for small-scale and community use. Her work builds upon prior deep learning approaches like RCNN, adapting them for resource-constrained environments. With a focus on practical, deployable robotics, Rasidi’s research holds promise for crime prevention, industrial monitoring, and assistive technologies. As an emerging scholar, her citation record reflects growing interest in affordable autonomous systems, positioning her as a rising voice in the intersection of robotics, computer vision, and embedded AI.