Hanjin Embeds AI in Logistics Operations... Accelerating Smart Logistics Innovation

Expanding AI Applications Across Logistics

From Safety Management to Enhanced Operational Efficiency and Service Quality

Hanjin is accelerating the pace of smart logistics innovation by applying artificial intelligence (AI) technology across its logistics operations.

On September 11, Hanjin announced that it had recently introduced the 'AI Safety Guardian'. This system is an advanced safety management system that utilizes artificial intelligence technology to analyze footage from security cameras (CCTV) inside terminals in real time, allowing it to detect various hazardous situations and prevent accidents.

The AI Safety Guardian is capable of detecting major risks in real time that are highly likely to cause accidents, such as unauthorized crossing of conveyors, vehicles moving in violation of safety rules, illegal parking in pedestrian areas, and failure to wear safety helmets. When a dangerous situation is detected, the system immediately warns workers through on-site alarm lights and voice alerts, and sends real-time text messages to safety managers so that prompt action can be taken, reducing the likelihood of accidents.

Hanjin is prioritizing the deployment of the AI Safety Guardian in smaller courier terminals located in outlying areas, which may be more vulnerable to safety management. Starting from late July, the company completed the installation of the system at more than 10 terminals in the Seoul metropolitan area and over 20 terminals across outlying regions nationwide, including Chungcheong and Gangwon.

The system is based on the extensive video-based big data accumulated by Hanjin as a comprehensive logistics company, and was developed by applying proprietary video analysis technology of Hyudatas. It is characterized by its ability to deeply analyze the working conditions and types of safety accidents at logistics sites, enabling the system to detect hazardous situations in real time and tailor the technology to field requirements. Especially, the system applies a unique multi-stage filtering technology that significantly reduces false alarms and ensures precise identification of dangerous situations.

With the strengthening of its safety management system, the number of major hazardous behavior incidents at the terminals where the system was introduced has decreased by approximately 60% compared to before the introduction.

Hyudatas, the developer of the AI technology used in this system, is a company that provides smart infrastructure services encompassing logistics optimization and automation as well as digital twin-based autonomous transportation systems. In particular, leveraging Hanjin's logistics infrastructure and expertise, Hyudatas is developing spatial information and logistics AI technology that can be applied to real-world logistics operations, thereby expanding its technological areas. The company plans to continue exploring new growth drivers based on leading-edge technologies, including expanding into the field of physical AI in the future.

Hanjin is also expanding the use of AI across logistics site operations and customer service. At the Daejeon Mega Hub Terminal, the 'AI-based Load Prediction System' allows the company to monitor in real time the progress of loading and unloading cargo from courier trunk vehicles, predict the completion time for tasks, facilitate timely docking of the next vehicle, reduce vehicle waiting times, shorten loading and unloading work time, and improve terminal operation efficiency.

The company is also utilizing a 'Volume Image Recognition AI Model' that analyzes images of cargo using AI technology to respond efficiently to client inquiries. In addition, the company has further enhanced customer inquiry response quality and service convenience through 'Hanjini', a chatbot powered by generative AI technology.

A Hanjin official stated, "From safety management to overall operation processes, we will continue to strengthen the application of advanced technologies such as AI, big data, and physical AI to lead smart logistics innovation."

This content was produced with the assistance of AI translation services.