'OZO Protect' was developed to solve the problem of the existing disaster monitoring system, which is not aware of the fire at the beginning and is causing damage and human casualties. The goal is to resolve disasters and minimize damage within golden time by using AI cameras and hardware equipped with IoT technology. Triplet has been selected as SKT's True Innovation support company and is currently developing wireless devices after the joint development of this product's wired devices.

The hardware consists of 7 sensors and 3 AI cameras, and is always connected by IoT communication method to check for unexpected sensor error. It not only detects fire, carbon monoxide poisoning, risk of gas explosion, building inclination, earthquakes, but also collects indoor information such as air quality like carbon dioxide and humidity and comfort level.

In this solution’s server it is possible to conduct two times of precise judgments and processes of abnormalities and disasters through space-specific data pattern learning and manage H/W judgment logic and AI models.

Through the application, we can check the abnormal situation in real time and receive video information quickly. It provides action guides to respond to fire or disaster and provides air quality improvement guide functions by analyzing carbon dioxide, TVOC, temperature/humidity information during normal times. 

'OZO Protect' was developed to solve the problem of the existing disaster monitoring system, which is not aware of the fire at the beginning and is causing damage and human casualties. The goal is to resolve disasters and minimize damage within golden time by using AI cameras and hardware equipped with IoT technology. Triplet has been selected as SKT's True Innovation support company and is currently developing wireless devices after the joint development of this product's wired devices.

The hardware consists of 7 sensors and 3 AI cameras, and is always connected by IoT communication method to check for unexpected sensor error. It not only detects fire, carbon monoxide poisoning, risk of gas explosion, building inclination, earthquakes, but also collects indoor information such as air quality like carbon dioxide and humidity and comfort level.

In this solution’s server it is possible to conduct two times of precise judgments and processes of abnormalities and disasters through space-specific data pattern learning and manage H/W judgment logic and AI models.

Through the application, we can check the abnormal situation in real time and receive video information quickly. It provides action guides to respond to fire or disaster and provides air quality improvement guide functions by analyzing carbon dioxide, TVOC, temperature/humidity information during normal times.