title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ°ÑÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ ÑÑÐºÐ¾ÑÑÐ¸ Ð»Ð°Ð·ÐµÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÑÐºÐ° Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ñ Ð²ÐµÐ±-ÐºÐ°Ð¼ÐµÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of a program for visualizing the brightness distribution of a laser beam using the analysis of the image obtained from a webcam
Creators: name: ÐÑ Ð¯Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð»Ð°Ð·ÐµÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÑÐºÐ°
ÑÐ°ÑÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÑÐºÐ¾ÑÑÐ¸
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
OpenCV
Qt
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð² ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¼ Ð²ÑÐµÐ¼ÐµÐ½Ð¸
C++
laser beam visualization
brightness distribution
image processing
real-time processing

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description: The object of study is the development of a software program for visualizing the brightness distribution of a laser beam using image analysis obtained from a webcam. The aim is to create a real-time visualization system that helps users adjust and optimize laser systems by accurately displaying the brightness distribution of the laser beam. Open educational resources and information search and analysis programs were used. Automation (automated) development tools such as OpenCV and Qt were used. The Visual Studio software has been applied (tested). This paper presents the development process, including the selection of the development environment, programming language, and libraries used. The software captures images from a USB webcam, processes these images to detect the laser beam spot, and visualizes the brightness distribution in real-time. Key steps in the image processing pipeline include converting color images to grayscale, applying Gaussian blur to reduce noise, and using thresholding techniques to create binary images that highlight the laser spot. The contours of the laser spot are identified, and the largest spot is analyzed to compute various brightness parameters, such as the maximum, minimum, and total brightness within the spot. Future work includes further optimization of the image processing algorithms, exploration of advanced techniques such as high dynamic range (HDR) imaging, and extending the softwares applicability to a wider range of laser-based technologies