CLEVI to unveil generative AI safety monitoring solution ‘MoniCare’ at Smart Tech Korea 2026

Source: EDaily reporter Kim Ho-jun

Full article citation: “CLEVI to unveil generative AI safety monitoring solution ‘MoniCare’ at Smart Tech Korea 2026”

Publication date: 2026-06-11

Link: https://m.edaily.co.kr/News/Read?newsId=04834726645480736&mediaCodeNo=257

[EDaily reporter Kim Ho-jun] CLEVI announced on the 11th that it will participate in ‘Smart Tech Korea 2026 (STK2026)’, held at COEX in Seoul, and showcase its generative AI-based safety monitoring solution ‘MoniCare’. At this exhibition, CLEVI plans to introduce practical AI safety monitoring technology that can be used in real-world settings, going beyond simple video surveillance.

MoniCare focuses on supporting quick responses and addressing situations that can be easily missed by human observation in an environment where the importance of safety management is increasing due to an ageing population and manpower shortages. It was designed to overcome the limitations of existing CCTV-centred monitoring systems and accurately recognise and respond to a range of on-site situations, including falls, abnormal behaviour, unusual entry and exit, and the detection of hazardous areas. Another key feature is its ability to reduce the burden on monitoring personnel by cutting down repetitive monitoring tasks, while improving operational efficiency by providing immediate alerts and decision support when needed.

In addition, MoniCare was developed with scalability in mind so that it can be applied in various environments, including welfare facilities, care facilities, hospitals, public facilities and industrial sites. Its flexible implementation according to on-site conditions can further raise the level of safety management for institutions and businesses.

Through its participation in Smart Tech Korea 2026, CLEVI plans to actively promote the potential of generative AI safety monitoring technology centred on MoniCare and expand its presence in the AI solutions market, which can be applied across various industrial settings.