Reporter Kim Young-seon – A.I.Matics, a subsidiary of Uninest, announced on the 10th that it has signed a memorandum of understanding (MOU) with the Korea Transportation Safety Authority (KTSA) to pilot test an AI video analysis-based fleet management system for hazardous cargo vehicles.

Through this agreement, the two parties plan to verify the feasibility of introducing AI video analysis systems for hazardous cargo transport and establish operating guidelines for a future nationwide rollout of AI-driven fleet safety systems.

Hazardous cargo trucks, oil tankers, and other high-risk transport vehicles often cause large-scale accidents with serious casualties and environmental damage when involved in collisions. Recognizing this, KTSA established a dedicated Hazardous Cargo Safety Management Center to prevent such accidents. The new project will pilot an AI-based big data fleet management system for hazardous cargo carriers, with the aim of creating a safer and more efficient transport environment.

The system will monitor vehicle operations in real time, checking driver behavior, accident risks, and vehicle status. Key functions such as DTG (digital tachograph) and GPS-based fleet tracking will be integrated to improve risk prediction and accident prevention. A.I.Matics has also developed its own Video Anomaly Detection (VAD) and Scene Recognition technologies to automatically analyze abnormal driving behaviors, enabling early warnings and accident prevention.

The pilot project will also test around-the-clock AI monitoring, applying anomaly detection and recognition technologies to support predictive accident management. By analyzing driver status and traffic conditions, the system will provide actionable insights for operators to minimize risks and establish safer transport practices.

An A.I.Matics representative stated, “Hazardous cargo transport has long been a blind spot in Korea’s road safety. With this pilot project, we aim to significantly strengthen safety oversight and contribute to building a more secure transport environment.”

Source: Financial Economy News