王子龙, 陈伟, 陈浩, 朱文硕. 基于指静脉识别的唯一性检测装置设计[J]. 煤矿安全, 2022, 53(4): 167-171.
    引用本文: 王子龙, 陈伟, 陈浩, 朱文硕. 基于指静脉识别的唯一性检测装置设计[J]. 煤矿安全, 2022, 53(4): 167-171.
    WANG Zilong, CHEN Wei, CHEN Hao, ZHU Wenshuo. Design of uniqueness detection device based on finger vein recognition[J]. Safety in Coal Mines, 2022, 53(4): 167-171.
    Citation: WANG Zilong, CHEN Wei, CHEN Hao, ZHU Wenshuo. Design of uniqueness detection device based on finger vein recognition[J]. Safety in Coal Mines, 2022, 53(4): 167-171.

    基于指静脉识别的唯一性检测装置设计

    Design of uniqueness detection device based on finger vein recognition

    • 摘要: 针对煤矿现有入井检测方法及装置中,存在检测效果不理想,检测效率低,检测结果不准确等问题,提出了一种基于指静脉识别的唯一性检测技术方案;将指静脉识别技术引入煤矿入井检测领域,依靠UWB人员定位系统,利用UWB标识卡及指静脉识别技术进行入井身份识别与唯一性检测。试验表明:该方案与基于虹膜的入井检测装置相比,在入井人数较多的情况下,有效地提高了入井检测效率,提升入井效率为38.9%。

       

      Abstract: In view of the existing well detection methods and devices, the detection effect is not ideal, the detection efficiency is low, and the detection results are not accurate. This paper proposed a unique detection technology scheme based on finger vein recognition. For the first time, finger vein recognition technology is introduced into the field of coal mine entry detection. Relying on the UWB personnel positioning system, the UWB identification card and finger vein recognition technology are used for the identification and uniqueness detection of coal mine entry. On the test surface, compared with the iris based well entry detection device, the scheme can effectively improve the well entry detection efficiency in the case of a large number of people entering the well, which is 38.9%.

       

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