A novel technique for LED dot-matrix text detection and recognition for non-uniform color system

Vandana, P G; Kaur, Bobbinpreet

doi:10.1109/icacci.2016.7732478

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…The article [8] emphasized using the LINX library to interface LabVIEW with Arduino and Raspberry Pi and implement an LED display to send warnings about exceeded temperature or humidity in a medical warehouse. The research publications [9][10] focused on using a physical LED matrix to display any message by converting the image into a byte array. The paper [11] presented an intelligent noticing system controlled using a dot matrix display, voice, SMS, RF transceiver, and GSM modem.…”

Section: Previous Work Of Development Interactive Display Systemsmentioning

confidence: 99%

LabVIEW Instruments for Creating Brain-Computer Interface Applications by Simulating Graphical Animations and Sending Text Messages to Virtual and Physical LEDs Based Display Systems Connected to Arduino Board

Rușanu

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The brain-computer interface (BCI) is a multidisciplinary research field aimed at helping people with neuromotor disabilities. A BCI system enables the control of mechatronic devices by using cognitive intentions translated into electroencephalographic signals. This paper presents the implementation of LabVIEW-based display systems that can be controlled by a brain-computer interface based on detecting the voluntary eye blinks used as commands. The interactive virtual or physical display systems are helpful thanks to running or simulating various graphical animations or transmitting different text messages in a user-customizable way. The proposed LabVIEW-based virtual display systems provide versatile functionalities such as: customizing the own visual animations and the movement of any text message by switching the direction (to the left or to the right) depending on the user’s choice. This paper presents five original virtual LEDs based display systems developed in LabVIEW graphical programming environment. The implemented LabVIEW applications included: an 8x8 LEDs matrix for simulating graphical animations, 2x16 LCD TEXT for showing text messages, and a 7-segments display for implementing chronometer functionality. Moreover, the LabVIEW virtual display systems were interfaced with the physical display systems (8x8 LEDs matrix controlled by MAX7219 driver and 2x16 LCD TEXT) connected to the Arduino Uno board.

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Section: Previous Work Of Development Interactive Display Systemsmentioning

confidence: 99%

LabVIEW Instruments for Creating Brain-Computer Interface Applications by Simulating Graphical Animations and Sending Text Messages to Virtual and Physical LEDs Based Display Systems Connected to Arduino Board

Rușanu

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Vandana and Kaur [14] proposed a method to solve the problem of LED text detection and recognition. They extract the board region from natural image to perform their method.…”

Section: Fig-5 Led Text Detection and Recognition Processmentioning

confidence: 99%

Untitled

2018

Review of Computer Engineering Research

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The ability to use computer and human based interaction would make things easier for the user, but would be challenging for the researchers. More sophisticated imaging systems can handle inter plot the results of image analysis and describe the various objects and their connections in the scene. The electricity, gas, and water metering instruments may employ the Automatic meter reading (AMR) system for automation of bill generation process. The image processing implementation may ease the process of AMR. In this paper, we discussed the image processing applications in AMR. Contribution/Originality:This study is one of very few studies which have investigated the applications of image processing in automatic meter reading.

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SIRT: Machine-Learning-based Selective Intensity Range Thresholding for Aircraft Visual Docking Guidance Refinement and Interpretation

Pal

Singh

Alladi

2022

2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

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A novel technique for LED dot-matrix text detection and recognition for non-uniform color system

Cited by 8 publications

References 8 publications

LabVIEW Instruments for Creating Brain-Computer Interface Applications by Simulating Graphical Animations and Sending Text Messages to Virtual and Physical LEDs Based Display Systems Connected to Arduino Board

LabVIEW Instruments for Creating Brain-Computer Interface Applications by Simulating Graphical Animations and Sending Text Messages to Virtual and Physical LEDs Based Display Systems Connected to Arduino Board

Untitled

SIRT: Machine-Learning-based Selective Intensity Range Thresholding for Aircraft Visual Docking Guidance Refinement and Interpretation

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