S1 AI Safety Solution Gains Attention as a Key to Preventing Industrial Accidents

Rising Industrial Accidents... AI CCTV Detects Risks Proactively
24/7 Monitoring with IoT Sensors
Access Control with Facial Recognition System to Block Unauthorized Entry

There is growing interest in safety management solutions that can prevent accidents at industrial sites. Although the Serious Accidents Punishment Act has been implemented, regulation focused solely on punishment has limitations in detecting and blocking real-time risks on-site. Against this backdrop, S1 has garnered attention by introducing an artificial intelligence (AI)-based safety solution tailored to the specific characteristics of industrial sites.

According to the industry on December 11, S1's AI-based safety solutions include: ▲ the AI-powered 'SVMS Safety Monitoring,' ▲ 'BlueScan,' an Internet of Things (IoT) sensor-based system that detects fires and gas leaks, and ▲ the 'Facial Recognition Reader,' which prevents unauthorized access.

An S1 employee is explaining SVMS safety monitoring to a customer. S1

'SVMS Safety Monitoring' uses AI to proactively detect situations that could lead to accidents. It analyzes six types of hazardous situations in real time: not wearing a safety helmet, not wearing a gas mask, entering restricted areas, collapsing, working alone, and fire. When an anomaly is detected, a smartphone alert is immediately sent to the safety manager, enabling a swift response. This allows for efficient safety management and labor cost savings even without 24-hour on-site personnel. For example, Dongwon Loex adopted SVMS Safety Monitoring to operate its chemical logistics center. This is because sites handling hazardous materials are at risk of fire and require rigorous safety management to prevent exposure to harmful substances. A Dongwon Loex representative explained, "At sites handling chemicals, even minor negligence can lead to major accidents, so a real-time safety management system is essential. With the introduction of SVMS Safety Monitoring, we can now detect and respond to dangerous situations at an early stage."

'BlueScan,' which attaches IoT sensors to key equipment to detect fires, leaks, power outages, and gas leaks in real time, automatically sends alerts to the responsible personnel when an anomaly occurs, enabling immediate notification to relevant agencies such as the fire department. Professional monitoring at the BlueScan control center and real-time checks via the customer app ensure comprehensive safety management, even at night or on holidays. A representative example is Yongsan District Office in Seoul, which established a real-time response system by introducing BlueScan to 13 aging community centers.

S1's 'Facial Recognition Reader,' based on deep learning technology, verifies identities with an accuracy of over 99.97%, blocking unauthorized individuals from entering restricted areas. In industrial sites, workers often wear gloves or carry equipment, making facial recognition more advantageous in both security and convenience compared to fingerprint or card methods. The authentication process takes only 0.6 seconds, allowing for rapid passage without any additional actions, and up to 50,000 people can be registered, making it suitable for large-scale industrial complexes. The dual verification system using both visible light and infrared cameras also blocks attempts at forgery or tampering using photos or videos, enhancing security.

An S1 representative stated, "As industrial safety has become a major social issue, AI-based preventive systems are receiving more attention than ever. Leveraging our 48 years of experience in protecting key national facilities and our AI technology, we aim to contribute to creating a safe industrial environment where companies can focus on their business activities with peace of mind."

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