Core Insights - The 2023 Spring Festival travel season features enhanced safety and convenience due to the introduction of smart security equipment at railways and airports [1][4] Group 1: Smart Security Systems - The AI smart security system at Shenzhen North Station has been implemented to improve security efficiency, capable of identifying over 60 types of prohibited items through deep learning from X-ray images [5] - The system allows security personnel to locate banned items within 30 seconds based on screen prompts, significantly reducing the reliance on human judgment [5] Group 2: Intelligent Security Gates - Qingdao North Station has introduced intelligent security gates that assist traditional manual checks, reducing passenger hand-check time by an average of 3.5 seconds and improving overall passage efficiency by approximately 30% [10] - These gates utilize weak signal detection technology to instantly identify metal and electronic items, triggering alarms for suspicious objects and providing real-time location displays for security staff [10] Group 3: Enhanced Security Equipment - The leg security scanner at Xi'an Station has been upgraded, achieving a 30% increase in accuracy and a 40% improvement in overall security check efficiency [18] - The new sorting device for luggage automates classification and transmission, enhancing flow efficiency by 30% and allowing the entire security process to be completed in under 3 minutes [20] Group 4: Airport Security Innovations - The Capital Airport has introduced various new security devices, including CT machines and millimeter-wave body scanners, which streamline the security process and significantly enhance passenger throughput [24] - The A3 millimeter-wave door, certified by the Civil Aviation Administration, performs non-contact rapid scans, completing checks in about 3 seconds while ensuring passenger privacy through holographic imaging [26]

Group 1: Railway Industry - On February 6, the national railway is expected to send 12.9 million passengers, with 1,209 additional passenger trains planned [1] - Since the beginning of the Spring Festival travel season, passenger flow has remained above 10 million for five consecutive days [1] - Beijing Station has implemented full coverage of intelligent security inspection equipment, achieving an accuracy rate of over 98.5% for identifying prohibited items, and reducing the passage time for individual luggage from 6 seconds to 2 seconds [1] Group 2: Maritime Industry - On the morning of February 6, ferry services in the Qiongzhou Strait were temporarily suspended due to fog, prompting the launch of an emergency transport mode to ensure safety and smooth transport for vehicles and passengers after resumption [3] Group 3: Aviation Industry - On February 6, the national civil aviation sector is expected to operate 20,269 flights, transporting 2.4 million passengers [6] - The expected passenger volume for civil aviation is 2.36 million, reflecting a month-on-month increase of 1.9% and a year-on-year increase of 5.6% compared to the same period in 2025 [14] Group 4: Overall Transportation Trends - On February 5, the total inter-regional personnel flow is expected to exceed 196 million, with a month-on-month increase of 3.4% [7] - The expected road passenger flow is over 18 million, also showing a month-on-month increase of 3.4% [12] - The expected waterway passenger volume is 620,000, marking a 3.9% increase compared to the same period in 2025 [12]

IJCAI 投稿 量子位 | 公众号 QbitAI 专门为X光违禁品检测问题设立的IJCAI Workshop挑战赛来了—— 不仅有丰富的奖金激励，还可以受邀参加今年的IJCAI Workshop，分享你的获奖方案！ 本次挑战赛聚焦 真实安检场景下的违禁品旋转目标检测 ，由北航全国重点实验室联合科大讯飞共同举办， 旨在推动创新方法探索，共同促进智能安检发展、保障公共安全。 负责赛事主办的刘祥龙教授团队多年来深耕X光违禁品检测领域，在国际上率先搭建 OPIXray 、 HiXray 、 EDS 等多个高质量X光场景基准数据集，受到清华大学、复旦大学、爱丁堡大学、南洋理工大学等百余 所机构的关注和使用。 所提出的 DOAM 、 LIM 等先进算法模型，也被发表在CVPR、ICCV上，并在PRCV等重要会议论坛上做 出详细报告，受到了国内外复杂场景目标检测领域其他研究者的广泛关注。 对赛事感兴趣的小伙伴，可以踊跃参与起来了～ 因此，本次大赛依托在国际人工智能顶级会议IJCAI 2025上举办的 Workshop: "3rd International Workshop on Generalizing from Li ...