A robust technique for image processing based on interfacing of Raspberry-Pi and FPGA using IoT

Rupani, Ajay; Whig, Pawan; Sujediya, Gajendra; Vyas, Piyush

doi:10.1109/comptelix.2017.8003992

Cited by 20 publications

(5 citation statements)

References 2 publications

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“…That way it is used by people all over the world to learn how computers work, how to manipulate the electronic world around them, and how to program (SANUSB, 2006). An overview with prototyping of solutions with Raspberry Pi can be seen in Saari, Baharudin e Hyrynsalmi (2017), demonstrating an affinity in its use with the Internet of Things (PARDESHI et al, 2017;RU-PANI et al, 2017) and in image processing (RUPANI et al, 2017).…”

Section: Raspberry Pimentioning

confidence: 99%

Embedded Linux System for Digital Image Recognition using Internet of Things

Freire

Pereira

Silva

et al. 2018

jme

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The present paper describes the use of Digital Image Processing and Internet of Things for gestures recognition using depth sensors available on Kinect R device. Using the open source libraries OpenCV and libfreenect, image data are translated and used for communicating Raspberry Pi embedded Linux system with PIC microcontroller board for peripheral devices controlling. LED is triggered according to the hand gesture representing the corresponding number. Data are stored in a PHP Apache server running locally on Raspberry Pi. The proposed system can be used as a multifunctional tool in areas such as learning process, post-traumatic rehabilitation and visual and motor cognition time. Using image binarization and Naive-Bayes classifier, the achieved results show error lower than 5%.

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Section: Raspberry Pimentioning

confidence: 99%

Embedded Linux System for Digital Image Recognition using Internet of Things

Freire

Pereira

Silva

et al. 2018

jme

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“…The images were being processed and scaled using web filtering tools. This gives advantage of scaling up for larger images [8] [9].Transmission of huge video data into the cloud has been performed using remote IOT server to progress the process smoothly [10]. An end-to-end IOT edge cloud system for image processing and analytics which enables the monitoring of wild life in remote locations automatically has been developed as shown in figure 5 [11].…”

Section: Image Processing Applicationsmentioning

confidence: 99%

Internet of things and its applications

Sai¹,

Kumar²

2018

IJET

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IOT is creating impeccable things by improving the performance of system in the field of communications in many technical applications in expedite manner and taken the system performance to next level. implementing IOT in today's world out do's the response time of the system to the normal system response in R&D applications. this paper depicts the challenges and the problems in various domains and gave the solution by imbibing IOT Technology by standardizing the system processes to meet the industrial as well as domestic needs.

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“…These systems are creating many applications in image processing field such as image filtering and processing. [9] The most widely used technique among biometric techniques is fingerprint recognition ( Figure 1). [10] Fingerprints are natural unique patterns formed by friction on epidermal ridges (raised) and furrows (recessed), which appear on the pads of fingers and thumbs.…”

Section: Pre-processing Procedures For Fingerprint Recognitionmentioning

confidence: 99%

Pre-Processing Image Algorithm for Fingerprint Recognition and its Implementation on DSP TMS320C6416

Dhib¹,

Machhout²,

Aguili³

2018

IJSEA

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Fingerprint recognition technology is becoming increasingly popular and widely used for many applications that require a high level of security. We can meet several types of sensors integrated in the fingerprint recognition system as well as several types of image processing algorithm in order to ensure reliable and fast authentication of people. Embedded systems have a wide variety and the choice of a welldesigned processor is one of the most important factors that directly affect the overall performance of the system. This paper introduces a preliminary treatment to the image in order to improve the quality, and then present a hardware implementation.

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A robust technique for image processing based on interfacing of Raspberry-Pi and FPGA using IoT

Cited by 20 publications

References 2 publications

Embedded Linux System for Digital Image Recognition using Internet of Things

Embedded Linux System for Digital Image Recognition using Internet of Things

Internet of things and its applications

Pre-Processing Image Algorithm for Fingerprint Recognition and its Implementation on DSP TMS320C6416

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