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About

Maroua Mehri is a researcher at the forefront of intelligent surveillance systems, with a focused expertise in computer vision, automatic license plate recognition (ALPR), and mobile robotics. Her major contributions lie in developing robust, real-time ALPR systems that operate under unconstrained, real-world conditions—moving beyond traditional assumptions of controlled environments. She has pioneered a dual-stage system for real-time license plate detection and recognition on mobile security robots, achieving 8 citations for this innovative work. Notably, Mehri addressed a critical gap in the field by creating the PGTLP dataset, the first publicly available, annotated dataset for Tunisian license plates, which has garnered 6 citations and serves as a vital resource for regional research. Her work includes comprehensive performance benchmarking of YOLO architectures for vehicle license plate detection from real-time videos captured by mobile robots, and she has optimized end-to-end recognition systems for efficient inference on these platforms. Through her research, Mehri is advancing practical, deployable solutions for surveillance and security, demonstrating significant impact in bridging the gap between constrained laboratory systems and real-world mobile applications.