KIoT, a company specialising in AI video analytics solutions, is expanding technology pilots in smart city and industrial safety fields in succession as it steps up its market push.

Founded in 2016, KIoT says its core competitiveness lies in AI object recognition algorithms and edge computing-based video analytics technology. It processes data in real time on on-site devices rather than through a central server model, boosting analysis speed and reducing the burden of building servers.

In public safety, it has continued pilots mainly at major events. Following the Daegu Chimac Festival in 2023 and the Busan Gwangalli Fireworks Festival in 2024 to 2025, it also participated this year in on-site operations for the Jungnang Seoul Rose Festival. It analysed congestion in real time at the rose tunnel and along major movement routes, and supported a system for sharing situations between the control centre and on-site operations staff. The head of the disaster and safety management headquarters at the Ministry of the Interior and Safety also visited the site to inspect the safety management system.

In industrial safety, it analyses in real time worker behaviour and access to hazardous areas at smelters, chemical complexes and manufacturing plants, and provides automatic alerts when protective gear is not worn or when dangerous situations occur. In the environmental field, it also developed an "AI-based sludge monitoring and coagulant automatic control system" through a research and development project by the Ministry of Science and ICT.

KIoT holds 44 registered patents and 21 official test reports, and recently won the deputy prime minister and minister of science and ICT award at the Korea ICT Awards. It is also targeting overseas markets. Through the Public Procurement Service's overseas demonstration (PoC) support programme, it is pushing technology pilots and partnership building in ASEAN regions such as Vietnam and in the Australian market.

CEO Jaejun Lee (이재준) of KIoT said AI video analytics technology is developing into core infrastructure that supports efficient operations in public safety and industrial sites. He said the company plans to continue expanding data-driven operating systems based on real-time video analytics and edge AI technology.