Abu Dhabi Launches AI-Powered Centre to Monitor 45,000 Square Kilometres of Waterways

Abu Dhabi has launched a new Waterway Monitoring and Control Centre, an AI powered platform that will oversee more than 45,000 square kilometres of waterways to improve maritime safety, strengthen emergency response and manage public maritime services across the emirate.

The centre was inaugurated by Abu Dhabi Mobility, an affiliate of the Department of Municipalities and Transport, in collaboration with Abu Dhabi Maritime, part of AD Ports Group, and with the support of the National Guard. The launch was attended by Sheikh Hamdan bin Saeed bin Tahnoon Al Nahyan and Mohamed Ali Al Shorafa, Chairman of the Department of Municipalities and Transport.

A single integrated platform for a genuinely large operating area

Based on Saadiyat Island, with a satellite centre in Al Dhannah, Al Dhafra Region, the facility provides real-time monitoring of navigation channels, vessel movements, public marine transport services and open waterways through a single integrated platform. The centre also manages more than 40 public maritime services, helping authorities improve operations, support faster decision-making and enhance the experience of waterway users.

Dr Abdulla Hamad Obaid AlGhfeli, Acting Director General of Abu Dhabi Mobility, said the centre will strengthen public safety and support the emirate's smart mobility ambitions. "The launch of the Waterway Monitoring and Control Centre will strengthen public safety, maritime mobility and the efficiency of Abu Dhabi's public maritime services," he said, adding that the initiative supports Abu Dhabi's vision of integrating smart mobility solutions that improve quality of life and reinforce the emirate's position as a global maritime hub.

The physical scale behind the AI system

The facility oversees nearly 2,000 navigational aids, including 1,063 navigation buoys, 367 navigation beacons, 227 marine signs and 62 shallow-water warning signs, all equipped with smart monitoring technology. It also tracks occupancy across more than 1,500 public berths and monitors visiting vessels to support future planning for marinas and maritime infrastructure.

Artificial intelligence and predictive analytics play a central role in the new system, analysing vessel movements, marine traffic and environmental conditions to identify potential risks before they occur and help authorities deploy resources more efficiently. Captain Saif Al Mheiri, CEO of Abu Dhabi Maritime and Chief Sustainability and Risk Officer at AD Ports Group, said the centre sets a new standard of smart surveillance and predictive management by using real-time data and advanced analytics to improve navigation safety and environmental protection.

Part of a broader pattern of physical infrastructure monitoring

To support operations, Abu Dhabi Mobility has also introduced four new patrol boats that will carry out daily inspections across the emirate's waterways. The centre is equipped with 16 radar stations, 29 CCTV cameras, more than 400 cameras across public maritime facilities and 17 VHF communication devices to support coordination between vessels and shore-based teams.

The launch is part of Abu Dhabi's wider smart mobility strategy, which also includes a dedicated Central Control Room for autonomous vehicles and specialised licence plates for self-driving vehicles, as the emirate continues expanding its technology-driven transport network. This kind of predictive, sensor-driven monitoring approach applied to physical infrastructure is becoming a recognisable pattern across the UAE's public sector more broadly, echoing how AI powered case triage and monitoring systems have already reshaped emergency response workflows elsewhere in Abu Dhabi's government services, applying similar predictive logic to an entirely different domain of public safety.

As autonomous and predictive systems take on a larger share of physical infrastructure monitoring across the region, from waterways to self-driving vehicle networks, the reliability of the underlying software becomes a genuine public safety question rather than a purely operational one, a concern some regional AI experts have flagged directly, warning that a single flawed software update across an autonomous fleet or monitoring system could trigger a serious reputational and safety incident if resilience and testing standards do not keep pace with how quickly these systems are being deployed at scale.