Roy Abi Zeid Daou

Lebanese German University, Université La Sagesse

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About

Roy Abi Zeid Daou is a researcher whose work sits at the intersection of intelligent automation, computer vision, and the Industrial Internet of Things (IIoT). His key contributions focus on developing practical, sensor-driven systems that enhance safety and efficiency in both industrial and agricultural settings. In his highly cited work, "Smart Wearable System for Safety-Related Industrial IoT Applications" (2018, 4 citations), Daou pioneered the integration of wearable technology with IIoT frameworks to monitor worker safety in real-time, addressing critical needs in hazardous environments. More recently, his 2023 paper, "Automated Tomato Inspection and Harvesting System Using Robotic Arm and Computer Vision in Greenhouses" (3 citations), demonstrates a significant leap in precision agriculture. This work details an advanced robotic system that leverages computer vision on a Raspberry Pi to autonomously identify and harvest tomatoes—distinguishing between ripe, unripe, and diseased fruit—while also performing pruning tasks. By combining low-cost hardware with sophisticated algorithms, Daou’s research offers scalable solutions for labor-intensive industries, showcasing a clear trajectory from industrial safety to smart agriculture. His work stands out for its direct applicability and potential to transform traditional practices through accessible, data-driven automation.