The article explores a wide range of applications of portable metal detectors, focusing on their advantages, accuracy and versatility in various industries. These devices, in particular mini metal detectors, have become an important tool in modern medical practice, military operations, rescue missions and security. Their compact size, ease of use and high efficiency in detecting small metal objects make them indispensable for quick screening and prompt response in extreme situations. The main focus of the article is on the medical application of metal detectors. In the field, during emergency situations, combat operations or disasters, the mini metal detector allows you to quickly detect and localize metal foreign bodies, which reduces the risk of complications for patients. This is particularly useful in settings where there is no access to x-ray equipment. Such devices make it possible to quickly assess the situation and make a decision on the need for surgical intervention or further diagnostics. Mini metal detectors are also effective in military operations and rescue missions, where it is necessary to quickly and accurately detect dangerous objects, such as explosive remnants, debris or mines. This significantly increases the level of security for both military personnel and the civilian population. The article emphasizes that the use of such devices can significantly reduce the risk of injury and death in high-danger areas. In addition, mini metal detectors are an affordable and cost-effective tool, which makes them attractive for use in humanitarian missions and in conditions of limited funding. This makes them not only a tool for medical or military purposes, but also an important component of safety at public events, in transport or in production. The article concludes that mini metal detectors are an effective and reliable tool that has great potential in various areas of modern life, providing quick diagnostics, increased security and prompt response to calls. A comparative analysis of algorithms for laser line center determination and recognition has been conducted. The issues in this area are described, outlining the principles, pros, and cons of each method. Additionally, the possibilities of their application using programming code are demonstrated. Algorithm testing was performed using Python language tools and the OpenCV library. It is shown that the quality of the result in the extremum method significantly depends on the quality of the selected parameters for the Butterworth filter. In contrast, the gray gravity method substantially relies on the accuracy of determining the laser incidence angle. The computational efficiency and accuracy for each algorithm are also analyzed.
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