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IBEX - 자율 AI 비전 센서
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IBEX - 자율 AI 비전 센서

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One-Line Product Definition

Self-sufficient AI camera sensor for satellite/blind spots – A fully autonomous vision solution that operates with its own solar power and satellite communication even in remote environments where power and network infrastructure are not available. The built-in AI analyzes video in real-time to detect abnormal situations or even acts as a LoRa sensor hub.

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Problem Definition

Monitoring vast areas without infrastructure, such as large farms, wildfire surveillance areas, and borders, requires reliance on costly manual patrols due to the infeasibility of CCTV installation. Real-time continuous monitoring with drones or satellite imagery is difficult, leading to problems in detecting abnormal situations early. Existing remote cameras also have limited coverage due to their dependence on power supply and communication networks.

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Key Differentiators

The IBEX sensor is self-sufficient in power with built-in solar panels and batteries, and can communicate from anywhere by directly connecting to satellite IoT networks such as Starlink[92]. Crucially, it has a powerful edge AI chip built-in, so it performs object recognition and abnormal event judgment on the sensor itself without transmitting the video taken by the camera to the cloud.

For example, if installed in a forest, the AI detects smoke/flame patterns and immediately sends a warning via satellite about signs of a forest fire, or if placed on a desert border, it alerts when human/vehicle movements are captured[92]. In addition, IBEX also has a LoRa gateway function, so it collects data from various IoT sensors such as surrounding thermometers, soil sensors, etc., and sends them all at once via satellite[93]. In other words, it is an all-in-one solution that acts as a remote area data hub + AI monitor.

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Key Adopters

Environmental/disaster management agencies (B2G) – such as the Korea Forest Service and fire departments – may adopt it for wildfire monitoring, or agricultural/livestock companies (B2B) may use it to monitor the status of large farms. In addition, military/border guard units (B2G) can utilize it for monitoring border areas. Energy companies operating remote oil fields may also be interested in using it to detect equipment abnormalities.

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Scalability

The company claims that the scope of application is endless, to the extent that 85% of the earth's surface lacks communication infrastructure[94]. Pilot projects are already underway in wildfire-prone areas such as North America and Australia, and it is expected to be used for infrastructure construction in developing countries in the future.

The technological support is solid as it expands its ecosystem through partnerships with satellite communication companies such as EchoStar. If the price is reasonable, it has the potential to be rapidly adopted with significantly superior cost-effectiveness compared to existing CCTV + power grid construction.

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Judges' Evaluation

It was recognized as a future-oriented IoT solution by winning the CES Innovation Award. Like the expression "eyes covering 85% of the land," it is considered a complete form of edge AI sensor that does not rely on the cloud.

Technology media praised it as the "ultimate evolution of AIoT"[92], and in particular, officials from Asia/Africa, where it is difficult to build communication infrastructure, showed high interest. However, from a market perspective, there was also a sober analysis that it is a solution "limited to the B2B niche market" and that general consumer interest was low and the actual market was not large.

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Analyst Insights

🔥 High marketability / Business connection possible – Although it is a specific B2B/B2G field, it is highly likely to dominate the market by brilliantly solving problems in that field. (It may not be famous to the public, but it will definitely be used in the industrial field)

The award list data is based on the official CES 2026 website, and detailed analysis content is produced by USLab.ai. For content modification requests or inquiries, please contact contact@uslab.ai. Free to use with source attribution (USLab.ai) (CC BY)

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