Based on Corerain's AI video analytics technology, China Comservice has implemented comprehensive safety monitoring for material storage areas across multiple provincial warehouse nodes. The platform integrates multiple algorithms, including safety helmet detection, smoking detection, lane occupancy warnings, and fire/smoke detection, building a multi-layered protection system covering both personnel behavior and environmental safety.

To address the unique challenges posed by complex warehouse environments for AI detection, Corerain introduced a collaborative solution combining large and small models. By integrating wide-range detection with small models and precise detection of small targets with large models, the AI video analytics solution achieves second-level detection of initial smoke and significantly reduces false alarm rates compared to traditional algorithms.For fire prevention, the system employs high-precision fire/smoke detection algorithms to identify fire hazards at the earliest stage, transforming traditional passive response into proactive early warning and greatly reducing warehouse fire risks. For unsafe personnel behaviors, the system detects risks such as failure to wear safety helmets, smoking violations, and material obstruction of passages in real time and issues timely reminders, eliminating safety hazards at the source. 

China Comservice adopted Corerain's cloud-edge collaboration software platform to enable unified management of warehouse data by the headquarters. The edge side handles real-time video analytics to ensure timely safety alerts, while the cloud aggregates data from all locations, supporting enterprise management decisions. This architecture ensures real-time local analysis while meeting centralized management needs, truly achieving modern warehouse safety management characterized by "comprehensive awareness, global early warning, and full-process control."