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Reliability of camera systems to recognize facial features for access to specialized production areas

机译:相机系统的可靠性,以识别面部特征,以便访问专业生产区域

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The article deals with ergonomics and reliability of camera systems for recognition of facial features and identify person for access to specialized areas. The monitoring of areas relates not only to crime, but it is also an integral part of access to specialized production areas (pharmaceutical production, chemical production, specialized food production, etc.). It is therefore important to adequately secure these premises using the relevant system. One of them is a system based on user identification using specific facial features. For this purpose, there are CCTV systems for recognition of facial features of different price categories (conventional cameras, semi-professional and professional) on the world market. However, problematic situations may occur when identifying. For example, by having the user partially masked face. This research is focusing on the problem. The main goal of the research is establishing the scale of negative impact, in case the identified person has partially masked face, on camera systems recognizing facial features, primarily on recognition time. The results are evaluated in detail. Some camera systems are not suitable in specialized production areas due to their insufficient recognition ability. From all the tested devices, the HIKVISION iDS-2CD8426G0 / F-I camera identification system has proved to be optimal for identification purposes. In the case of designing, it is therefore necessary to choose suitable camera systems that have ergonomics and reliability at a level that will guarantee their sufficient use in the mentioned areas, while decreasing comfort and user-friendliness as little as possible. By measuring the ergonomics and reliability of these CCTV systems, it can be stated that there are statistically significant differences between conventional, semi-professional and professional systems, and it’s not just a design change, but also a more efficient recognition method.
机译:本文涉及相机系统的人体工程学和可靠性,以识别面部特征,并确定用于访问专业领域的人。监测地区不仅与犯罪涉及犯罪,而且还有一个专业生产领域(药品生产,化学生产,专业食品生产等)的不可或缺的一部分。因此,重要的是要使用相关系统充分确保这些前置区。其中一个是使用特定面部特征的基于用户识别的系统。为此目的,有CCTV系统,用于识别世界市场上不同价格类别(传统摄像机,半专业和专业)的面部特征。但是,在识别时可能会出现问题情况。例如,通过使用户部分掩蔽的面部。这项研究专注于问题。该研究的主要目标是建立负面影响的规模,以防确定的人在识别面部特征的摄像机系统上部分遮盖面,主要是在识别时间上。结果详细评估。由于其识别能力不足,一些摄像机系统不适合专业生产领域。从所有测试的设备,HikVision IDS-2CD8426G0 / F-I相机识别系统已被证明是最佳的识别目的。在设计的情况下,有必要选择合适的相机系统,该系统在水平下具有人体工程学和可靠性,保证其在所述领域的充分利用,同时尽可能地降低舒适性和用户友好性。通过测量这些CCTV系统的人体工程学和可靠性,可以说,传统,半专业和专业系统之间存在统计上显着的差异,而且它不仅仅是一种设计变化,也是一种更有效的识别方法。

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