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基于视频AI的校园安全识别方法研究

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随着国家教育事业的不断发展以及教育规模的不断扩大,校园安全建设逐渐深入人心,传统的视频监控和非深度人脸识别方法已难以满足校园安全防护要求。因此,本文研究和设计了一种基于视频AI的校园安全识别方法,通过深度人脸识别技术和神经网络技术的结合,提高校园识别方法的精度和速度,满足批量人脸识别和危险区域识别预警功能,从而促进校园安全技术升级,使校园安全识别变得更加智能化和人性化。
Research on Campus Security Recognition Method Based on Video AI
With the continuous deepening and development of national education and the continuous expansion of the scale of education,the construction of campus security gradually deepens people's hearts,and the traditional campus security recognition method has been difficult to meet the current campus security protection.Therefore,this paper researches and designs a campus security recognition method based on video AI,through the combination of deep face recognition technology and neural network technology,to improve the accuracy and speed of campus recognition method,to meet the function of batch face recognition and dangerous area recognition and warning,so as to promote the upgrading of campus security technology,and the campus security recognition becomes more intelligent and humanized.

video AIcampus securityface recognition

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联通(广东)产业互联网有限公司,广东 广州 510006

视频AI 校园安全 人脸识别

2024

中国科技纵横
中国民营科技促进会

中国科技纵横

影响因子:0.102
ISSN:1671-2064
年,卷(期):2024.(21)