What it does
We designed an AI-powered ROV system equipped with restoration tools, sensors, and a custom-built float and photosphere to monitor coral reefs and marine life. It offers a scalable, sustainable solution to replace manual underwater conservation efforts.
Your inspiration
Our inspiration came from witnessing the rapid degradation of coral reefs along the UAE coastline due to climate change and human activities. As engineering students passionate about marine conservation, we wanted to use our technical skills for a real-world impact. During our participation in the MATE ROV competition, we realized the potential of underwater robotics in solving ecological challenges. This sparked the idea to design an AI-integrated ROV capable of restoring coral reefs and monitoring marine ecosystems, creating a sustainable solution aligned with SDG 14: Life Below Water.
How it works
Our system consists of three main components: an AI-powered Remotely Operated Vehicle (ROV), a surface float, and a waterproof photosphere. The ROV is custom-designed with thrusters for precise underwater movement and a robotic arm that can plant coral fragments onto damaged reefs. It features an onboard camera system and sensors to navigate its surroundings, while AI algorithms analyze real-time video feeds to detect coral bleaching, marine species, and environmental anomalies. The ROV is tethered to a surface station that supplies power. We also use a ESP32 based float localization, and wireless communication. This float enables real-time data transmission between the ROV/water, the operator onshore . Additionally, the detachable photosphere captures 360-degree underwater imagery for ecosystem monitoring and documentation. Together, the system automates reef restoration, reduces diver risk, and enhances the efficiency of marine conservation efforts.
Design process
Our design journey began by identifying the need for scalable coral reef restoration and marine monitoring solutions in the UAE. After researching existing methods and technologies, we conceptualized an AI-integrated ROV equipped with a robotic arm and camera for underwater intervention. The initial prototype was built using a PVC frame for ease of prototyping and cost efficiency. We focused on stabilizing underwater movement with thrusters and tested a basic claw mechanism for coral planting in tanks. Early tests revealed limitations in structural integrity, control feedback, and performance under pressure. To address visibility, we added high-intensity LEDs, and for enhanced control, we implemented feedback loops and refined our motor drivers. We developed a surface float to support tethering, GPS, and live data transmission, and a photosphere to capture 360° underwater imagery. Finally, after repeated field tests, we replaced the PVC with a corrosion-resistant aluminum body, ensuring durability and performance in saltwater environments. Our current design reflects continuous iteration, improved buoyancy, precision, and long-term sustainability.
How it is different
Our design stands out by combining restoration, monitoring, and data collection into one compact, AI-driven ROV system. Unlike many existing underwater robots that are either too expensive, single-purpose, or manually operated, our ROV integrates coral restoration tools, real-time species recognition, and environmental analysis using onboard AI. What truly sets us apart is the modular ecosystem we created: a corrosion-resistant aluminum ROV for durability, a smart surface float for power and communication, and a 360° photosphere for immersive data collection. Most systems require human divers for such tasks; ours minimizes that risk and cost. Additionally, the design is cost-effective, locally manufactured, and customizable, making it ideal for widespread use by research labs, conservation agencies, and educational institutions focused on marine sustainability.
Future plans
Our next steps involve enhancing the AI model for more accurate marine species detection and integrating water quality sensors for real-time environmental data. We plan to conduct extended field trials along UAE’s coastline and collaborate with marine conservation groups for pilot deployments. On the business side, we aim to refine the design for scalable production and offer customizable ROV packages for schools, research labs, and NGOs. Our long-term goal is to create an affordable, accessible marine conservation toolkit that empowers global efforts toward ocean sustainability.
Awards
MATE ROV World Championship 2025 – 5th highest globally in Corporate Responsibility & Marketing Display for sustainability, outreach, and branding. Undergraduate Research and Innovation Competition 2025 – 2nd Place in Innovation; AED 7,000 awarded. IEEE Student Day 2024 – 1st Place in Senior Design; AED 3,000 awarded
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