LaonPeople: “Generative AI Expands Across Robotics, Construction Equipment, and Smart Factories”

With stronger workplace safety regulations now in place, OdinAI gains attention as a next-generation industrial safety solution

Yellow Envelope Act—industrial sites are facing stronger legal obligations for workplace safety. As both compliance requirements and potential liabilities increase for employers, generative AI monitoring is emerging as a compelling alternative in high-risk work environments.

LaonPeople’s OdinAI is drawing industry attention as a generative AI–powered surveillance and safety management solution capable of detecting hazards in real time and providing tailored responses through natural language interaction.

For example, when given the instruction, “Only alert me when a worker is not wearing a safety harness,” OdinAI understands the condition, recognizes only the relevant scenarios, and triggers alerts accurately. Powered by an LLM-based generative AI engine, OdinAI can interpret context much like a human, adjust sensitivity levels, and significantly reduce false positives and excessive alerts—ultimately improving safety and operational efficiency for both workers and employers.

A LaonPeople representative noted, “With stricter responsibilities placed on companies after the passage of the Yellow Envelope Act, generative AI–based accident prevention and real-time monitoring will become essential across high-risk industries such as construction, manufacturing, and logistics. OdinAI is evolving from a simple monitoring tool into a conversational, customized AI safety assistant.”

OdinAI is already deployed in construction sites for safety and security monitoring, as well as in Yongsan District Office, Incheon International Airport, and military control systems. The solution is rapidly expanding across robotics, construction machinery, and smart factory applications through cross-industry AI integration.

The technology is also being adopted globally, including in Thailand and Vietnam, where it is applied to disaster detection, crime surveillance, traffic monitoring, and broader smart-city initiatives. Its use cases are expected to continue expanding across industrial and environmental domains worldwide.