摘要
针对当下人脸识别技术在不确定性客观环境使用过程中所遇到的问题,基于AI人脸识别的特征识别技术,通过对图像数据的采集、定位、校准、比对及深化数据模型等关键点的改进与优化,使检测在光线和外置物干扰的情况下也能准确迅速完成,最大程度地提高了人脸识别技术在客观环境影响下识别的准确性和高效性。将校园管理中传统的人工操作实现全程自动化、智能化,降低教师及相关人员工作量的同时,进一步保证了新时代校园生活的科学组织和管理。在使校园学习生活更加安全、便捷和高效的同时,也为人脸识别技术的广泛应用与发展提供了有利参考。
This paper aims at the problems encountered in the process of using face recognition technology in uncertain objective environment.Based on AI face recognition,through the improvement and optimization of image data acquisition,positioning,calibration,comparison and deepening of data model,the feature recognition technology helps to achieve accurate and rapid detection effect even under the interference of light and external objects,which greatly improves the accuracy and efficiency of face recognition technology under the influence of objective environment.The technology can also realize automation and intelligence of the traditional manual operation in campus management in the whole process,at the same time,reduce the workload of teachers and related people,and further ensure the scientific organization and management of campus life in the new era.Besides,it makes campus life more secure,convenient and efficient,and also provides a favorable reference for the wide application and development of face recognition technology.
作者
张静
ZHANG Jing(Basic Course Department, Modern College of Northwest University, Xi’an 710130, China)
出处
《微型电脑应用》
2021年第4期73-76,共4页
Microcomputer Applications
基金
陕西省教育厅2020年科学研究计划专项项目(20JK0950)。
关键词
深度学习
AI
人脸识别
教学
校园
deep learning
AI
face recognition
teaching,campus
