"Who Evacuated When?"... Samsung Fire & Marine Insurance Develops AI-Based Evacuation Training Evaluation System
Analyzing Everything from Evacuation Initiation to Bottleneck and Emergency Exit Usage
by Integrating CCTV Footage and Spatial Data
Exclusive Patent Filed for 'Evacuation Evaluation Method and Device'
On September 21, Samsung Fire & Marine Insurance announced that it has developed an 'AI-based Quantitative Evacuation Training Evaluation System', which uses artificial intelligence (AI) to analyze behaviors observed during employee evacuation drills and objectively assess training effectiveness and vulnerabilities.
While traditional evacuation drills have focused on whether the drills were conducted and the results of on-site inspections, the new system analyzes data by linking CCTV footage and building spatial information. It determines who began evacuating and when, which routes they followed, and where bottlenecks occurred during the real evacuation process.
Domestic companies conduct regular evacuation drills for employees according to relevant regulations such as the 'Act on the Prevention and Management of Fire and Safety' and internal standards. However, during actual drills it has been difficult to objectively identify details such as the time it took to initiate evacuation or whether people concentrated along certain routes or at emergency exits. As a result, there have been limits to systematically analyzing training results and accumulating areas for improvement.
The AI-based Quantitative Evacuation Training Evaluation System addresses these limitations by evaluating evacuation behavior based on five key factors: ▲evacuation initiation, ▲routes taken, ▲bottlenecks, ▲emergency exit usage, and ▲response diffusion. Leveraging this technology, Samsung Fire & Marine Insurance applied for an exclusive patent for the 'Evacuation Evaluation Method and Device' in July of this year.
In October, Samsung Fire & Marine Insurance plans to carry out a proof-of-concept (PoC) at an actual business site, verifying the analytical accuracy and field applicability of the system. Based on the verification results, the company aims to expand its usage scope and continuously advance its data-driven safety management system.
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A representative from the Samsung Fire & Marine Insurance Corporate Safety Research Center stated, "We will continue to enhance field applicability and spread an effective evacuation training framework, thereby contributing to improving the overall safety level of society."
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