AI-Powered Driver Fatigue and Distraction Detection Cameras

Driver fatigue and distraction are critical contributors to road traffic incidents, particularly in high-risk industries such as oil and gas. This paper presents ADNOC's implementation of AI-powered Active Fatigue and Distraction Detection (AFDD) cameras across its operational and contractor fleets to proactively mitigate fatigue- and distraction-related risks. The AFDD system utilizes real-time artificial intelligence and computer vision to detect early indicators of driver fatigue and distraction, such as drowsiness, prolonged eye closure, mobile phone use, and loss of focus. Upon detection, the system delivers in- cabin alerts to prompt immediate driver correction. The deployment included device calibration, driver engagement programs, policy integration, and seamless interoperability with ADNOC's In-Vehicle Monitoring System (IVMS). A structured change management approach supported adoption and ensured organizational readiness. Preliminary results show a measurable improvement in driver attentiveness, rest compliance, and proactive safety interventions. Early data suggests that the integration of AFDD technology significantly enhances situational awareness and supervisory oversight, supporting a broader safety culture transformation. This paper provides technical and operational insights into the design, integration, and early outcomes of an AI-based fatigue monitoring system in one of the world's largest oil and gas transportation networks. Through detailed documentation of implementation challenges, change management, and system performance, this work offers additive value to existing literature. It provides practical, scalable lessons for petroleum industry stakeholders aiming to harness AI for behavioral risk mitigation in transport operations. The initiative supports the United Nations Sustainable Development Goal (SDG) 3.6, which aims to halve the number of global road traffic deaths and injuries by 2030, and aligns with land transportation safety recommendations by the International Association of Oil & Gas Producers (IOGP).