• Installation of SMARTi technology reinforces ADNOC’s ambition to deploy cutting-edge AI solutions across its entire value chain and its commitment to 100% HSE
  • AIQ to extend deployment of SMARTi beyond the initial vessels, with the solution rapidly expanding its industrial uses

Abu Dhabi, United Arab Emirates – AIQ, the Abu Dhabi-based AI champion delivering transformative solutions to the energy sector, today announced the successful deployment of its SMARTi Intelligent Operational Safety Monitoring solution on board 86 vessels of ADNOC Logistics and Services (ADNOC L&S).

SMARTi utilizes AI algorithms to analyze video streams in real-time, performing more than 1 billion predictions a day and enabling rapid detection and classification of safety behavior, incidents, and hazardous situations. The solution can be seamlessly integrated into existing CCTV platforms to improve safety on vessels.

Dr. Christopher Cooper, CEO of AIQ, said: "The deployment of our highly effective SMARTi solution to ADNOC L&S vessels is another example of how AIQ is delivering leading-edge, homegrown AI technology to the heart of the Energy sector. The solution has an ever-expanding profile of uses, and we look forward to extending this initial deployment to an even greater number of vessels within the ADNOC L&S fleet and beyond."

ADNOC L&S will utilize the UAE-developed SMARTi solution to further improve safety on its vessels through automated monitoring, detection and reporting of safety protocol violations and incidents.

Captain Abdulkareem Al Masabi, CEO of ADNOC L&S said: “The deployment of AIQ’s SMARTi technology on our ships demonstrates our commitment to 100% HSE, as we continue to invest in innovation to optimize our operations and drive further value for our business and customers. ADNOC L&S is committed to deploying cutting-edge AI-based technologies across our entire business ensuring our vessels are a safe environment for our people.”

SMARTi (previously known as Smart Vessel) is capable of processing a vast number of  images daily with greater than 90% accuracy. The solution is able to detect the absence of personal protective equipment (including helmet, uniform, and life vest), entrance and presence within a restricted area, slip and fall, man overboard and other defined scenarios.

Key features of SMARTi include:

  • AI-powered analysis: Utilizing AI algorithms with advanced computer vision analytics to analyze video streams in real-time, enabling rapid detection and classification of safety behavior, incidents, and hazardous situations
  • Edge computing: Processing video streams and performing AI analytics locally, SMARTi does not rely solely on centralized servers or cloud infrastructure to ensure real-time response capabilities
  • Remote deployment: Pushing the newest AI model updates and configurations remotely
  • Historical data analysis: Archiving video footage and data facilitating post-incident investigations, compliance audits, and improvement of safety protocols

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About AIQ

AIQ is an innovative global technology pioneer based in Abu Dhabi, dedicated to accelerating AI-driven advancements within the Energy sector, propelling it towards a sustainable future. AIQ solutions improve performance and efficiency; protect personnel, assets, and operations; and enable customers to meet their sustainability goals. As a committed contributor to realizing the UAE's ambition to lead the world in AI by 2031, AIQ is playing a pivotal role in the AI ecosystem of Abu Dhabi, the UAE, and the global Energy sector. To find out more, visit: https://aiqintelligence.ae/

For media enquiries, please contact: aiq.communications@g42.ai

About ADNOC Logistics and Services

ADNOC Logistics & Services Plc, listed on the Abu Dhabi Securities Exchange (ADX symbol ADNOCLS / ISIN “AEE01268A239”) is a global energy maritime logistics company based in Abu Dhabi. Through its three business units: integrated logistics, shipping and marine services, ADNOC L&S serves more than 100 customers in over 50 countries.

To find out more, visit: www.adnocls.ae