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글로멘시오 파이어플라이 Gen 3
HonoreeSmart Home스마트홈에너지 효율IoT사용자 인터페이스친환경 기술

글로멘시오 파이어플라이 Gen 3

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Glomensio

One-Line Product Definition

"Smart Night Address Light" – An AI-powered smart house number plate that clearly displays the house number with automatic lighting during normal times, and urgently flashes red and blue when calling 911 from home to alert neighbors and rescue teams to an emergency.

Problem Definition

It is common for emergency situations to be delayed due to house address signs not being clearly visible at night. In particular, whether or not neighbors take emergency measures within the golden time of 10 minutes, such as in the event of cardiac arrest, can determine life or death, and there was a problem in that neighbors were unaware of the danger before the rescue team arrived.

In the past, devices such as manually turning on warning lights in front of houses have been tried, but have not been widely adopted. In addition, there were many inconveniences as it was often difficult for delivery personnel to find houses even in normal situations. Against this background, Firefly was developed with the aim of making address signs smart to improve convenience in normal times and help neighbors respond quickly in emergencies.

Key Differentiators

Glomensio Firefly is an IoT number plate designed to easily replace existing house number plates and be installed by ordinary households. It automatically turns off during the day and turns on automatically at night to always display a clear address, and when a user makes an emergency call such as 911, it immediately flashes red/blue lights to alert those around them to the emergency.

An additional differentiator of the 3rd generation Firefly is the intelligent response workflow that automatically sends emergency notifications to designated neighbors/family members. For example, if an elderly person calls 911, a notification will also be sent to the neighbor's Firefly, allowing the neighbor to rush over and perform CPR, etc. In addition, it communicates information to the community with situation-specific colors, such as linking to 119 fire alarms and lighting up green when a package arrives.

Brightness and color customization are possible, balancing HOA (Home Owners Association) compliance and aesthetics, and installation is also simple with solar/battery combination or power line connection. Above all,"House number = life signal"The biggest differentiator is that it is a unique smart home device that focuses on safety rather than security.

Key Adopters

Although B2C direct sales are the main focus, B2B2C distribution in partnership with housing complex developers or home security companies is also being sought. Individual consumers are homeowners – especially the elderly, families with chronic diseases, and residents who are interested in security.

AlsoHome Owners Association (HOA)A model in which local governments purchase and install the devices in their jurisdiction (B2B/G2C) is also possible. For example, it can be introduced collectively in a silver town village to build a resident safety net. From a B2G perspective, fire stations or public institutions related to emergency medical care can provide some support/distribution as a measure to strengthen emergency response in the community.

However, for the time being, general consumer sales through online channels such as Amazon and partnerships with housing-related installation companies are the main adoption routes.

Scalability

This solution is particularly useful in the North American market, where there are many single-family homes, and there is room to expand into other community safety services such as crime prevention. For example, it can be combined with emergency bells, home AEDs, and neighborhood security networks.

There is a large synergy effect when incorporated into the Matter-compatible smart home ecosystem and linked with other alarm devices, cameras, etc. In terms of regulations, outdoor lighting and warning light regulations in certain states/cities must be met, but it is already designed to be suitable for US Home Owners Association (HOA) regulations.

However, it is limited in markets such as Korea, where the residential culture is mainly apartments, and is expected to focus mainly on the North American/European single-family home market. To expand the market, there is a possibility of promoting official linkage with emergency services (e.g., data linkage with the 911 system), which could be a major growth engine if successful.

Judges' Evaluation

The CES judges gave fresh favorable reviews for "using smart home technology for life saving."It was highly evaluated for proposing a new value of a neighbor community-based safety net in the smart home device area, which had been focused on convenience and security such as security cameras and doorbells.

The CES 2026 Innovation Award (Smart Home) recognized the completeness of the technology, and the development of intelligent workflows that reflected on-site feedback from the Gen 2 version was particularly noteworthy."Transformed the most primitive house number into the most modern one."Along with this assessment, some critics pointed out the limitations of the market size.

In other words, it is predicted that it will be difficult to become explosively popular because it is a niche product only for single-family home residents. However, there is a prevailing positive view that it will appeal to North American consumers who are highly interested in neighborhood safety, and it is receiving good reviews as a product that solves real-world problems.

Analyst Insights

⚠️ Impressive technology but market uncertainty – Praised as an idea that innovates emergency response, but it remains to be seen how widely it will be adopted in ordinary households. There will be an enthusiastic niche demand, but the scale of popularization remains to be seen.

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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