Virtual Sketch using Open CV

Srungavarapu, Pranavi; Maganti, Eswar Pavan; Sakhamuri, Srilekkha; Veerada, Sai Pavan Kalyan; Chinta, Anuradha

doi:10.35940/ijitee.h9262.0610821

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…real-time gestures are recognized the usage of strategies which includes gesture spotting, gesture collection simplification, and gesture reputation. Shomi Khan, M. Elieas Ali, Sree Sourav Das have developed a machine that uses a pores and skin shade detection set of rules to transform ASL (American sign Language) into text from real-time video [3]. due to the fact skin coloration and hand shape vary from individual to man or woman, detecting the hand is probably hard.…”

Section: Literature Reviewmentioning

confidence: 99%

Virtual Sketch on Air

Saranya¹,

Reddy²,

Pydi³

et al. 2023

IJSREM

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Section: Literature Reviewmentioning

confidence: 99%

Virtual Sketch on Air

Saranya¹,

Reddy²,

Pydi³

et al. 2023

IJSREM

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“…In this, the gesture of hands is recognized and converted into characters that the hands symbolize. Using machine learning algorithms [5] the hand gestures are extracted and represented as corresponding characters.…”

Section: Existing Systemmentioning

confidence: 99%

“…These extracted hand points are processed and it is used to select the colors and to draw the contents on the monitor. Here the screen is considered as hundreds and thousands of (x, y) [6] coordinates. The screen is split into several portions using these coordinates.…”

Section: Proposed Systemmentioning

confidence: 99%

A Study on Various Techniques on Data Partitioning and Sampling in Big Data Analysis

Gothi¹,

Mahantesh²,

Moulya³

et al. 2022

IJERCSE

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Recognition of hand gestures has great importance for Human-computer interaction (HCI). The human hand is very small with complex junctions compared with the entire human body, hence recognizing the human hand is not an easy task. By using the hand gesture recognition the hand point/coordinates of hands can be detected using which we can make many impossible happens. Our work indicates one such finding, that is, VIRTUAL PAINTER. In our project, the main objective is to display the words on the monitor screen which we write on air in front of the webcam. This is done by recognizing the human hand through the normal webcam of a computer and the hand points are detected using the MediaPipe python library. Using the detected hand points the count of opened fingers is stored. When the index and middle fingers are open it means it is in Selection mode and when only the index finger is open it is in drawing mode. In Selection mode, the colors using which we want to draw can be selected from the list of colors that are made displayed on the screen. In drawing mode, the content that is written in front of the camera on air is drawn on the monitor screen. The application of this implementation can be used in many places where immediate implementation or explanation is needed.

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“…Virtual painter is a medium that uses the OpenCV module and python programming language, providing real-time webcam data used as object detectors that allow users to draw simple shapes and delete by moving the position of the gesture pattern of the user's fingers (Srungavarapu et al, 2021).…”

Section: B Virtual Paintermentioning

confidence: 99%

Development of Virtual Painting Method using OpenCV Library with Finger Gesture on Online Learning Platform

Ramadhan

Wiratama²,

Permana³

2022

JIKA

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With the pandemic situation that has occurred for the last two years to date, educators and students carry out many learning activities online. Learning activities are carried out using virtual meeting media, the concept of meetings and discussion processes that are carried out virtually with existing digital communication devices. From the problems, it was found that students were likelier to be less active when learning theory than practice, which made it difficult for educators to find various media that would be given to students to support online learning activities to be more interactive. This study discusses the creation of a system that can be a medium for delivering helpful material to improve the quality of interaction between educators and students. A virtual painter is one of the media to support the online interactive learning process, where educators can complete the material presented with a clearer picture that educators provide to students. Virtual painters are used to tracking finger pattern movements where the user moves his hand as needed, namely drawing and release, which educators can use to deliver more interactive material to students in theoretical and practical learning. The system design method used in building the virtual painting is Rapid Application Development (RAD) which is carried out through 8 stages, starting from Requirements Analysis to Operation and Maintenance. Next, the diagram design uses UML notation and the phyton with OpenCV coding process. After the virtual painter had been made, an evaluation was conducted and resulted in a positive impression of all six scales: attractiveness, efficiency, clarity, precision, stimulation, and novelty.

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Virtual Sketch using Open CV

Cited by 8 publications

References 4 publications

Virtual Sketch on Air

Virtual Sketch on Air

A Study on Various Techniques on Data Partitioning and Sampling in Big Data Analysis

Development of Virtual Painting Method using OpenCV Library with Finger Gesture on Online Learning Platform

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