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中国“智慧”让上合合作更“智能”(环球热点)
"长眼睛"的泳池机器人智能清洗每一处角落、重载机器人安全稳定运输大型风电叶片、数字化高端 医学影像检查提高诊疗水平……在天津举行的2025中国—上海合作组织人工智能合作论坛上,中国与上 合组织成员国在人工智能领域的合作成果集中展出,吸引嘉宾驻足。 如今,人工智能合作正成为中国与上合组织国家推动经济发展、深化互联互通、促进民生改善的重 要动力源,为全球南方国家构建更加公平、开放、包容的人工智能合作模式提供了生动样本。 从智慧场景到制度共建,从青年交流到共创未来,中国与上合组织成员国在人工智能领域的合作正 展现出蓬勃活力。随着机制不断完善、应用持续拓展、信任不断加深,人工智能将在推动区域繁荣、促 进文明互鉴中发挥更加重要作用。 智能技术合作落地见效 "落地务实是上合组织人工智能合作的重要特点之一。在合作中,场景驱动技术,需求推动创新。" 近年来,一批基于中国技术的人工智能场景化应用正在给上合组织成员国的生产活动注入新的活 力:从塔吉克斯坦智慧矿区,到乌兹别克斯坦光伏运维机器人;从俄罗斯农业智能导航系统,到巴基斯 坦城市智能安防平台,中国与上合组织国家正通过项目共建,将人工智能成果广泛嵌入社会发展实践。 在伊斯兰堡 ...
研判2025!中国车牌识别系统行业产业链、发展现状、竞争格局及发展趋势分析:车牌识别系统市场扩容,预计到2029年市场规模将达到23.98亿元[图]
Chan Ye Xin Xi Wang· 2025-06-04 01:10
Core Viewpoint - The intelligent license plate recognition system is becoming an essential part of modern traffic management, significantly improving efficiency and accuracy in various applications such as highway tolls, urban traffic management, and security monitoring [1][14]. Industry Overview - The license plate recognition system utilizes advanced technology to monitor and identify vehicle license information in real-time, playing a crucial role in modern intelligent traffic management [3]. - The market size of China's license plate recognition system industry reached 1.556 billion yuan in 2023, with an expected growth to 2.398 billion yuan by 2029, reflecting a compound annual growth rate (CAGR) of 7.47% [1][14]. Industry Chain - The upstream of the license plate recognition system industry includes components such as chips, sensors, displays, power supplies, and enclosures, with chips being the core component for image processing [8]. - The downstream applications encompass traffic management, vehicle monitoring, and parking management, highlighting the system's versatility in various sectors [8]. Competitive Landscape - The license plate recognition system industry is characterized by low concentration, with numerous small-scale enterprises. Major players include Hikvision, Dahua Technology, and Jieshun Technology, each leveraging their strengths in video monitoring and parking management [16][17]. Development Trends - Multi-modal recognition is identified as a future trend, integrating various sensors and data sources for enhanced vehicle identification and monitoring [21]. - Product differentiation is crucial for competitive advantage, necessitating improvements in service quality, functionality, and customization to meet diverse customer needs [22]. - Increased emphasis on data security and privacy protection is anticipated, driven by regulations such as the Personal Information Protection Law in China, requiring companies to adopt advanced data management practices [24].