Face Mask Detection Using LabView

Abstract

<p>Rapid worldwide spread of Corona virus Disease 2019 (COVID 19) has resulted in a global pandemic. In present scenario due to covid-19, the mask has been an important part of our live for our safety as well as for the others safety so there is a need for efficient face mask detection applications in crowded areas like shopping malls, Public transportation etc. To ensure safety of the people in the surroundings. Face Mask Detection using NI LabVIEW. In this project a real-time system is developed to detect whether the person is wearing a mask or not by acquiring a real-time image of him through a Camera. The main challenges in detecting the mask are there are masks with various colors and patterns and secondly the background, light intensity are also the factors that affect the result. So, all these factors should be taken into consideration while developing the system in real-time. This system used for this application consists of vision development module. Vision development module helps to develop applications for machine vision and image processing applications we can use it with LabVIEW for real- time systems. A camera with good pixel quality is used for image acquisition. The captured image is of RGB format, it is difficult to analyze the image in this format, so it undergoes color plane extraction in this only a single plane of the image is considered which separates the mask from surroundings and results in a grey scale image for further processing. The image later is compared to a custom-made template dataset using pattern matching algorithm from vision assistant which helps to detect the mask region. overlaying techniques are used to highlight the mask region which shows that the person is wearing the mask.<strong></strong></p>

DeepMask: face mask detection using GAN algorithm

“…Deep learning is one of the most common approaches for image processing, natural language processing, and security protection [10][11][12][13][14]. Several studies have proposed face mask detection with various methods [1,2,5,7,15]. A study suggests a classification-based image-based automatic mask detection method.…”

“…A vision assistant pattern matching algorithm compares the image to a custom-made dataset, which aids in detecting the front. The consequences of the face mask can then be viewed in real-time photographs of the person captured by the camera [7].…”

“…Another paper uses a camera with good images in RGB format and then compares it with the dataset using LabView. The model is built to distinguish whether people are wearing masks by capturing images directly through the camera [2,7].…”

Creating a Digital 3D Model of the Dental Cast Using Structure-from-Motion Photogrammetry Technique

“…The Structure-from-Motion (SfM) Photogrammetry technique represent a set of overlapping sequences of 2D images can be converted to 3D structures, this set which must cover all parts of the dental plaster cast on many levels at different angles passed through a series of processes, firstly, the correspondences between images are matched in order to extract key points [19,20]. Then, depending on these extracted features, the camera position, alignment, and scene geometry are adjusted to generate an initial 3D cloud of points.…”

Analysis of Pattern Searching Algorithms and Their Application

“…Pattern searching is an important problem in computer science that is used to show search results in text editing to find unique patterns in the text editor, data compression, DNA sequence matching -of, spell checking, computer viruses, signature matching, dictionary-based language translation [1], World Wide Web search engines and other computer application systems [2], in biology [3], most of major data processing in bioinformatics involves in one way or another the recognition of certain patterns within DNA, RNA or protein sequences [4], and the detection of face masks in real time [5]. A pattern represents a non-empty language that contains strings other than the empty string.…”