Core Viewpoint - The company, Zhongshan Furite Technology Industry Co., Ltd., is showcasing its innovative smart fire prevention technology at the 15th Malaysia-China Entrepreneurs Conference, emphasizing advancements in fire safety through AI and sensor integration [1]. Group 1: Company Overview - Zhongshan Furite Technology Industry Co., Ltd. is a high-tech enterprise specializing in the research, production, and sales of electrical fire monitoring and fire alarm products [1]. - The company has received multiple honors, including recognition as a national high-tech enterprise and a Guangdong Province specialized and innovative enterprise [1]. - It holds nearly a hundred patents and software copyrights related to its products and systems, which have won various awards for technological innovation [1]. Group 2: Technological Innovations - The company has developed an AI dynamic perception algorithm that allows real-time monitoring of environmental temperature changes and adjusts alarm thresholds accordingly, enhancing sensitivity and accuracy [3]. - A closed-loop mechanism has been established for environmental perception, feature recognition, and graded response, addressing the limitations of traditional fire warning systems [3]. - The technology includes a micron-level aerosol sensing array capable of detecting early fire hazards, providing warnings 15-30 minutes in advance, which is eight times faster than traditional temperature-sensing devices [4]. Group 3: Sensor and Alarm System Enhancements - The integration of multiple sensors, including temperature and smoke detectors, has reduced false alarm rates by 30% and improved fire source location accuracy [4]. - The alarm system features an intelligent voice interaction system that enhances emergency response efficiency by 300% for vulnerable populations and increases nighttime recognition by five times [4]. - The power supply system utilizes military-grade dual lithium batteries, extending the replacement cycle from 6 months to 60 months and reducing operational costs by 83% [4].