SEOUL--(뉴스와이어)--IntelliVIX, a deep-tech company specializing in AI for safety, today announced that two of its solutions, VIXA GateShield AI and VIXA Wildfire AI, have been named CES 2027 Innovation Awards Honorees. The double win marks the company’s second consecutive year of CES recognition, highlighting its global competitiveness in disaster safety AI.

The award-winning solutions are VIXA GateShield AI, an autonomous AI agent for traffic control during flooding, and VIXA Wildfire AI, an integrated platform for wildfire detection, spread prediction, and emergency response. GateShield AI was recognized in the Products in Support of Human Security for All category, while Wildfire AI received an award in the Smart Communities category.

The CES Innovation Awards program, organized by the Consumer Technology Association (CTA), recognizes outstanding innovation, design, and engineering in technology products. Entries are evaluated by an independent panel of industry experts based on criteria including innovation, functionality, and design.

Both solutions represent IntelliVIX's approach to action-oriented safety AI agents that go beyond conventional hazard detection. By analyzing evolving risks, supporting operational decision-making, and connecting AI-generated insights with predefined safety protocols and response procedures, the technologies are designed to enable faster, more coordinated responses to emergencies.

VIXA GateShield AI: Autonomous Flood Detection and Traffic Control

VIXA GateShield AI is an autonomous flood safety agent designed to protect motorists and pedestrians from rapidly developing flood hazards at underpasses, tunnels, bridge approaches, and low-lying roads.

As extreme rainfall events become more frequent and severe due to climate change, conventional flood response systems face critical limitations. Even when water-level sensors trigger alarms, operators typically must review surveillance footage and sensor readings separately, assess the situation, and dispatch personnel to close affected roads.

GateShield AI addresses these delays by integrating real-time camera footage with water-level sensor data. The system analyzes flood extent, how quickly the water is spreading, and potential risks to approaching vehicles and pedestrians, to assess rapidly changing conditions.

The solution was conceived to help prevent a recurrence of tragedies such as the Osong underpass flooding disaster in South Korea.

When predefined risk thresholds are met, an on-site edge AI controller automatically activates road barriers, variable message signs (VMS), warning lights, and sirens in accordance with pre-approved safety rules. Its localized architecture enables critical traffic-control functions to operate even when cloud connectivity is disrupted, while allowing human operators to intervene manually at any time.

The system also maintains an integrated audit trail covering hazard detection, control commands, and confirmation of device activation, supporting post-incident analysis and operational accountability.

A key technological differentiator is its dual-engine architecture, which separates safety-critical physical control from generative AI reasoning.

A lightweight edge vision AI model handles time-sensitive safety decisions and barrier activation, while a separate generative AI layer powered by vision-language models (VLMs) and vision-language-action (VLA) models interprets video, water levels, weather conditions, and device status to generate situational briefings, reports, and audit records.

This separation is designed to prevent delays or unsupported outputs from generative AI models from independently triggering physical barrier operations, combining rapid response with reliable, rule-based safety control.

Outside the flood season, GateShield AI can also function as an intelligent transportation system (ITS) monitoring solution, detecting traffic accidents, stopped vehicles, wrong-way driving, fires, and other road safety incidents.

VIXA Wildfire AI: From Early Detection to Predictive, Drone-Assisted Response

VIXA Wildfire AI is an integrated platform that connects wildfire prevention, early detection, spread prediction, drone-based monitoring, and evacuation support within a unified operational framework.

The platform uses edge vision AI to identify early signs of wildfires, including smoke and flames, from camera feeds. A vision-language model (VLM) then analyzes the visual evidence associated with each detection, helping distinguish potential wildfires from visually similar conditions such as fog, clouds, and dust.

This additional layer of AI-based interpretation provides monitoring personnel with contextual information and supporting evidence to help assess potential incidents more accurately.

Wildfire AI also integrates environmental sensor data, including temperature, humidity, carbon dioxide, and fine particulate measurements, with wind conditions, terrain, and vegetation information.

Using these combined inputs, the platform assesses wildfire risks and predicts potential fire spread over the next three hours. Projected spread paths, affected areas, and potential risks to evacuation routes are visualized on a geographic information system (GIS) map.

Based on these predictions, the platform generates drone observation routes to support targeted monitoring of high-risk areas. Newly acquired electro-optical (EO) and infrared (IR) imagery is then fed back into the prediction model, allowing projected fire behavior and risk zones to be continuously updated as new information becomes available.

A defining feature of Wildfire AI is its closed-loop detection, prediction, and re-observation architecture.

By using drones to revisit areas beyond the field of view of fixed cameras and incorporating newly collected imagery into subsequent forecasts, the platform creates a continuous feedback cycle between field observation and predictive analysis.

Forest management agencies, fire departments, and local governments can access detected incidents, VLM-generated analysis, environmental risk indicators, projected fire spread, drone locations, and evacuation route information through a unified interface.

The platform is also designed to integrate with existing camera networks, environmental sensors, and GIS infrastructure, helping organizations enhance disaster response capabilities while minimizing the need for extensive new equipment.

Two Consecutive Years of CES Recognition Highlight Expanding Safety AI Capabilities

IntelliVIX previously received a CES 2026 Innovation Award in the Smart Communities category for VIXallcam, its all-weather AI camera designed to detect potential hazards under challenging visibility conditions, including rain, snow, fog, and darkness.

With two additional awards at CES 2027, the company has now earned CES Innovation Awards recognition for two consecutive years.

The latest achievements also underscore the evolution of IntelliVIX's safety AI portfolio—from improving visual perception under adverse conditions to enabling early disaster detection, predictive risk assessment, and automated physical response.

By receiving recognition across two distinct climate-related disaster scenarios, flooding and wildfires, IntelliVIX has demonstrated the broader applicability of its AI technologies to real-world public safety challenges.

Building on these achievements, IntelliVIX plans to accelerate its expansion into international government and enterprise markets, targeting municipalities, transportation authorities, forestry agencies, and emergency response organizations facing growing climate-related risks.

Leveraging its edge AI architecture and compatibility with existing monitoring infrastructure, the company intends to pursue field demonstrations and strategic partnerships with local organizations, adapting its solutions to country-specific regulations, operating environments, and equipment requirements.

An IntelliVIX spokesperson said, “Having two of our three submissions recognized at CES 2027 demonstrates how our safety AI technologies are evolving beyond simply identifying hazards to anticipating how risks may develop and enabling timely action in the field.”

“Following VIXallcam's recognition last year, these consecutive CES Innovation Awards reinforce the international competitiveness of our technology. We will continue advancing our AI-powered flood and wildfire response solutions, with the goal of becoming a global safety AI leader dedicated to protecting lives and urban infrastructure worldwide,” the spokesperson added.

Meanwhile, IntelliVIX was listed on South Korea‘s KOSDAQ market on October 30, 2026, marking a significant milestone in the company’s growth.