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严格规范员工入井考勤、身份识别管理,有助于提高煤矿安全生产,保障员工生命安全。由于煤矿复杂特殊的工作环境,人像识别技术在煤矿安全考勤中的应用存在人员身份识别准确率不高,识别速度慢,受光照变化影响大及人体特征易变性导致无法识别等问题,使得人像识别技术在煤矿中的应用很难得到普遍推广。针对以上问题,从不同角度研究分析增加自学习及自校验功能,实验结果表明,改进后人像识别系统不仅提高了识别速度,也保证了准确率,同时弱化了光照影响及解决人体特征易变性无法识别问题。
Strictly regulate employees into the well time and attendance, identity management, help to improve coal mine safety in production, to protect the safety of employees. Due to the complex and special working environment of coal mine, the application of portrait recognition technology in attendance safety in coal mine has the problems of low recognition rate, slow identification speed, large influence of light change and unnatural identification of human characteristics, The use of technology in coal mines can hardly be universally promoted. In view of the above problems, the self-learning and self-checking function is studied and analyzed from different perspectives. The experimental results show that the improved image recognition system not only improves the recognition speed but also ensures the accuracy, weakens the illumination and solves the characteristics of the human body easily Degeneration does not recognize the problem.