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人脸识别技术在智慧型地铁的应用

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"互联网+"发展大趋势下,云计算、大数据、人工智能等新技术广泛应用到城市轨道交通.大部分城市都在进行"刷脸支付"试点改造,在多元化支付方式中,乘坐地铁开始应用刷脸进站和出站检票,成为市民关注的亮点.基于此分析了自动售检票系统的背景和现状,从需求分析、人脸识别思路、活体检测、人脸特征提取、人脸识别计算模式等方面进行了人脸识别算法的设计.
Application of Face Recognition Technology in Smart Subway
Under the general trend of"Internet+"development,new technologies such as cloud computing,big data and artificial intelligence are widely applied to urban rail transit.Most cities are carrying out the pilot transformation of face payment,and among the diversified payment methods,the subway has begun to apply face brushing to enter and exit tickets,which has become a highlight of citizens'attention.This paper analyzes the background and current situation of the automatic ticket vending system,and designs the face recognition algorithm from the aspects of demand analysis,face recognition ideas,live detection,face feature extraction,and face recog-nition calculation mode.

face paymentdeep learninglive detectionface feature extractionface recognition calculation

韩鹰

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山西工程科技职业大学,山西 晋中 030606

刷脸支付 深度学习 活体检测 人脸特征提取 人脸识别计算

2024

山西电子技术
山西省电子工业科学研究院 山西省电子学会

山西电子技术

影响因子:0.197
ISSN:1674-4578
年,卷(期):2024.(3)