Artificial Intelligence Takes on Security Roles |MAIHE AI Security Inspection Launched, Building a Intelligent Safety Protection Network

      Safety is the lifeline of enterprise development, and inspection is a crucial link in upholding the bottom line of safety.To address the pain points of traditional safety inspections, such as low efficiency, high missed detection rates, and heavy reliance on manual experience, the Intelligent IoT Business Unit of MAIHE Corporation has leveraged its independent R&D capabilities to innovatively build an integrated multi-dimensional inspection model combining "manual inspection + real-time camera collection + autonomous humanoid robot inspection".By deeply integrating artificial intelligence technology into the safety inspection system, the company has launched an AI-powered safety inspection function, achieving a leapfrog upgrade of safety inspections from "manual troubleshooting" to "intelligent analysis and judgment", and building a solid safety defense line through technological strength.

      In the traditional inspection mode, on-site staff are required to conduct detailed inspections one by one, manually record potential hazards, and assess risk levels subjectively. This approach is not only time-consuming and labor-intensive but also heavily reliant on personal experience when determining rectification measures, resulting in low efficiency and making systematic organization of inspection data difficult to achieve.

The AI-powered safety inspection function can automatically mark hazard locations and classify risk levels. Furthermore, in accordance with industry standards and practical application scenarios, it intelligently generates targeted rectification suggestions, clarifies rectification criteria, timelines, and accountability assignments, ensuring that hazard remediation follows standardized procedures and evidence-based requirements. Meanwhile, it enables intelligent classification and archiving of all identified hazards by type, area, and risk level, and automatically generates inspection statistical reports, providing accurate data support for management to grasp the overall safety situation and formulate targeted prevention and control measures.The integrated multi-dimensional inspection mode, combined with AI-enabled intelligent analysis and statistics, realizes full-process management covering "hazard identification – risk marking – classification and statistics – recommendation generation – closed-loop rectification". This drives the transformation of safety management from passive response to proactive prevention, and from experience-driven to data-driven operations.

      This AI-powered safety inspection represents a functional expansion of the Univer Operation and Management System. Independently developed by MAIHE Corporation, the Univer Operation and Management System is tailored exclusively for the equipment manufacturing industry. It focuses on the full-process operation and control demands of equipment manufacturing enterprises, with core functions covering contracts, design, production, materials, logistics and transportation, among other scenarios. The system achieves full-chain digital coverage for equipment manufacturers, from business coordination and production control to safety assurance, delivering an integrated solution for intelligent manufacturing and the smart Internet of Things. It helps traditional equipment manufacturers transform and upgrade, reduce costs and improve efficiency.The integration of AI technology throughout the entire inspection process further enriches the functional dimensions of the Univer Operation and Management System, making safety inspection a vital component of the system’s closed-loop management. This realizes the dual empowerment of "control + safety" for the system and further enhances its full-process service capabilities, truly enabling hazards to be "visible, accurately identified, and promptly rectified".

MAIHE Corporation adheres to the "R&D-led" strategy and continuously deepens the in-depth integration of artificial intelligence with application scenarios. Relying on the Univer Industrial Internet Platform, the company focuses on the core track of "high-end intelligent equipment systems + intelligent IoT systems + systematic design services", providing more comprehensive digital and intelligent solutions for equipment manufacturing enterprises. It helps traditional equipment manufacturers reduce costs, improve efficiency, and achieve transformation and upgrading, drives the development of new quality productive forces through technological innovation, and writes a new chapter in the high-quality development of intelligent manufacturing.