人脸识别技术在矿井人员管理系统中的应用

基金项目:

中煤科工集团常州自动化研究院2012重点研究项目(12SY004)

详细信息

Application of face recognition technology in mine personnel management system

摘要: 针对矿井人员入井作弊问题，设计了一种基于人脸识别技术的矿井人员管理系统。当人员入井时，系统采集当前人脸图像，与存储的模板图像进行比对校验，校验通过，则入井成功，反之，则入井失败。实验结果表明，该系统识别速度快、准确率高，有效解决了入井作弊问题。
- 矿井人员管理 /
- 考勤管理 /
- 入井作弊 /
- 定位卡 /
- 人脸识别 /
- 图像识别
Abstract: In view of problem of cheating when mine personnel goes downhole, a mine personnel management system based on face recognition technology was designed. When a person goes into mine, the system collects his facial image which is compared and checked with stored template image. If passing the check, the person is approved to go into mine, conversely, failed to go. The experiment result shows that the system has quick recognition speed, high accuracy and solves the problem of cheating for mine personnel downhole.
- mine personnel management /
- attendance management /
- cheating for downhole /
- location card /
- face recognition /
- image recognitio