A Review on Automated Monitoring Applications of Raspberry Pi

Vedavalli, Perigisetty; Kondaveeti, Hari Kishan; Ch, Deepak

doi:10.1109/icaccs54159.2022.9785271

Cited by 3 publications

(1 citation statement)

References 73 publications

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“…1bc), which are small single board computers produced by the Raspberry Pi Foundation (Cambridge, United Kingdom). Due to the low-cost of the single-board computer, the simplicity of the system and its great flexibility, this microcomputer is widely used in the scientific community, especially in the field of natural sciences and image processing (Jolles, 2021;Kishan et al, 2022;Vedavalli et al, 2022). All Raspberry Pi models are useful for the development of systems, which are also undemanding in terms of computational power.…”

Section: Control Unit and Real Time Clockmentioning

confidence: 99%

A Cost-Effective Image-Based System for 3d Geomorphic Monitoring: An Application to Rockfalls

Blanch

Guinau

Eltner³

et al. 2023

Preprint

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Section: Control Unit and Real Time Clockmentioning

confidence: 99%

A Cost-Effective Image-Based System for 3d Geomorphic Monitoring: An Application to Rockfalls

Blanch

Guinau

Eltner³

et al. 2023

Preprint

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A comprehensive review on applications of Raspberry Pi

Mathe,

Kondaveeti,

Vappangi

et al. 2024

Computer Science Review

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An IoT Based Attendance System using PI Cam and RFID Controller

Mrs N. Swathi,

Gorakanti Pallavi,

Kotha Sai Jyothika

et al. 2023

IJARSCT

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The primary focus of our country's education system is on attendance, particularly during graduation and post-graduation, as it is considered indicative of a student's commitment to their education. This project specifically centers around improving the attendance system. In the past, attendance used to be recorded in a traditional manner. However, over time, various attendance systems have been introduced, many of which rely on a single authentication method using a single sensor. Currently, there are attendance systems that utilize two sensors, like the "attendance system using biometric and RFID controller," for capturing attendance. Nevertheless, a drawback of the current system is the potential problem faced by management if one of the sensors fails to record data, making it difficult to obtain accurate attendance records. Moreover, injuries to the hand can hinder the use of the biometric attendance system results in a reliance on conventional techniques. An ESP32 camera is used in our project to take pictures of students or staff. for attendance purposes. This camera is capable of capturing facial images as well, ensuring attendance can still be recorded even in cases of facial injuries. Alternatively, an RFID card can be used as a backup method for attendance. The materials required for this project include Node MCU or ESP32, ESP32 camera, and an RFID controller.

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A Review on Automated Monitoring Applications of Raspberry Pi

Cited by 3 publications

References 73 publications

A Cost-Effective Image-Based System for 3d Geomorphic Monitoring: An Application to Rockfalls

A Cost-Effective Image-Based System for 3d Geomorphic Monitoring: An Application to Rockfalls

A comprehensive review on applications of Raspberry Pi

An IoT Based Attendance System using PI Cam and RFID Controller

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