Maad Issa Al-Tameemi

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Total Citations

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About

Maad Issa Al-Tameemi is a researcher at the forefront of integrating robotics, the Internet of Things (IoT), and deep learning for advanced surveillance and monitoring applications. His work focuses on developing intelligent, autonomous robotic systems capable of real-time environmental perception and threat detection. Al-Tameemi’s major contributions include the design of the "RMSRS: Rover Multi-purpose Surveillance Robotic System," a pioneering project that leverages IoT and the Internet of Robotics (IoR) to create a versatile platform for detecting suspicious activities. This foundational work has garnered 13 citations, establishing a benchmark for multi-purpose robotic surveillance. Building on this, his 2022 study on "Design and implementation monitoring robotic system based on you only look once model using deep learning technique" further advanced the field by integrating the YOLO (You Only Look Once) deep learning model into a Raspberry Pi 4-based rover. This innovation enables real-time object detection and monitoring, achieving 8 citations for its practical, low-cost approach. Al-Tameemi’s research not only pushes the boundaries of autonomous robotics but also demonstrates tangible applications in security and live broadcasting, making him a notable contributor to the evolution of smart surveillance systems.