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[OneMoreSecurity] OneMoreSecurity's AI Wildfire Detection Solution Designated as Procurement Innovation Product
[Writer]oms
2026.05.11.
OMEYE(Wildfire) v1.0 Solution Designated as Innovation Product — Third Such Designation Since Company's Founding in 2019
Hybrid CNN and VLM Technology Mitigates False Positives Caused by Weather Variables
[Boannews Reporter Jaeho Jo] OneMoreSecurity announced that its wildfire detection solution, OMEYE(Wildfire) v1.0, has been designated as an Innovation Product by the Public Procurement Service. This marks OneMoreSecurity's third Innovation Product designation since the company's incorporation in 2019.
OMEYE(Wildfire) v1.0 is an intelligent wildfire detection solution leveraging a hybrid object detection and tracking technology based on Convolutional Neural Networks (CNN) and Vision Language Models (VLM). It analyzes footage from closed-circuit television (CCTV) cameras installed in forests and wildfire-prone areas to detect signs of wildfire such as smoke and flames, and tracks changes in objects and movement patterns within the footage to enable early identification of potential wildfire occurrences.
The solution is equipped with a 3D coordinate-based wildfire location feature. Rather than simply detecting smoke or flames on screen, it provides spatial coordinate data for suspected wildfire points, enabling control center operators to identify incident locations more quickly and intuitively.
It also combines CNN-based object detection with VLM-based visual scene understanding to precisely assess the context of suspected wildfire situations. This helps mitigate false positives caused by various environmental factors such as fog, lighting changes, and shadows, supporting rapid response focused on actual hazardous situations.
The solution is applicable across diverse field environments including forests, roadsides, and village-adjacent areas. It integrates image analysis results and 3D coordinate-based location data with control systems, Geographic Information System (GIS) maps, and alert systems, enabling unified monitoring of wildfire locations and risk levels.
"Wildfire is a type of disaster where the speed of initial response determines the scale of damage," said Min-sik Kim, CEO of OneMoreSecurity. "OMEYE(Wildfire) v1.0 goes beyond detecting signs of wildfire — it provides 3D coordinate-based location data to enhance the precision of on-site response."
OneMoreSecurity has accumulated a range of public and technical certifications through its development of intelligent video analytics solutions, including NEP (New Excellent Product) certification, Excellent Procurement Product designation, Procurement Innovation Product designation, and recognition as an outstanding information security product by the Ministry of Science and ICT. This latest designation is regarded as further validation of OneMoreSecurity's AI video analytics expertise and its capability in the public safety domain.
2026.05.11.
OMEYE(Wildfire) v1.0 Solution Designated as Innovation Product — Third Such Designation Since Company's Founding in 2019
Hybrid CNN and VLM Technology Mitigates False Positives Caused by Weather Variables
[Boannews Reporter Jaeho Jo] OneMoreSecurity announced that its wildfire detection solution, OMEYE(Wildfire) v1.0, has been designated as an Innovation Product by the Public Procurement Service. This marks OneMoreSecurity's third Innovation Product designation since the company's incorporation in 2019.
OMEYE(Wildfire) v1.0 is an intelligent wildfire detection solution leveraging a hybrid object detection and tracking technology based on Convolutional Neural Networks (CNN) and Vision Language Models (VLM). It analyzes footage from closed-circuit television (CCTV) cameras installed in forests and wildfire-prone areas to detect signs of wildfire such as smoke and flames, and tracks changes in objects and movement patterns within the footage to enable early identification of potential wildfire occurrences.
The solution is equipped with a 3D coordinate-based wildfire location feature. Rather than simply detecting smoke or flames on screen, it provides spatial coordinate data for suspected wildfire points, enabling control center operators to identify incident locations more quickly and intuitively.
It also combines CNN-based object detection with VLM-based visual scene understanding to precisely assess the context of suspected wildfire situations. This helps mitigate false positives caused by various environmental factors such as fog, lighting changes, and shadows, supporting rapid response focused on actual hazardous situations.
The solution is applicable across diverse field environments including forests, roadsides, and village-adjacent areas. It integrates image analysis results and 3D coordinate-based location data with control systems, Geographic Information System (GIS) maps, and alert systems, enabling unified monitoring of wildfire locations and risk levels.
"Wildfire is a type of disaster where the speed of initial response determines the scale of damage," said Min-sik Kim, CEO of OneMoreSecurity. "OMEYE(Wildfire) v1.0 goes beyond detecting signs of wildfire — it provides 3D coordinate-based location data to enhance the precision of on-site response."
OneMoreSecurity has accumulated a range of public and technical certifications through its development of intelligent video analytics solutions, including NEP (New Excellent Product) certification, Excellent Procurement Product designation, Procurement Innovation Product designation, and recognition as an outstanding information security product by the Ministry of Science and ICT. This latest designation is regarded as further validation of OneMoreSecurity's AI video analytics expertise and its capability in the public safety domain.
