Hardware and software of Computer Vision IoT solutions leveraging Raspberry PI Boards

This paper presents a survey of Internet ofThings (IoT) applications using the Raspberry PI (RPi) SingleBoard Computer (SBC) alongside Computer Vision (CV) techniques from the field of Artificial Intelligence (AI). It presents and compares solutions across several IoTapplication areas, offering an overview of the associated hardware, software, CV methods, and algorithms. The studyexplores IoT applications in the following areas: Smart Healthcare, Face and emotion recognition, Wildlife, Smart Agriculture, Smart Homes, Security, Smart Cities, Autonomous Vehicles, Robotics, Manufacturing, and Retail. Each area is analyzed with respect to the integration of RPiand CV, showcasing their contributions to enhancingoperational efficiency and enabling innovative solutions. The presented solutions use different RPi boards, from RPi 3A+ up to the latest RPi 5.

Authors

Publication Details

Journal
Telfor Journal
Published
2025-01-01
DOI
https://doi.org/10.5937/telfor2501002z
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hardware and software of Computer Vision IoT solutions leveraging Raspberry PI Boards

Amela Zeković
Telfor Journal
IoT and Edge/Fog Computing
article

Hardware and software of Computer Vision IoT solutions leveraging Raspberry PI Boards

Amela Zeković
article en

Abstract

This paper presents a survey of Internet ofThings (IoT) applications using the Raspberry PI (RPi) SingleBoard Computer (SBC) alongside Computer Vision (CV) techniques from the field of Artificial Intelligence (AI). It presents and compares solutions across several IoTapplication areas, offering an overview of the associated hardware, software, CV methods, and algorithms. The studyexplores IoT applications in the following areas: Smart Healthcare, Face and emotion recognition, Wildlife, Smart Agriculture, Smart Homes, Security, Smart Cities, Autonomous Vehicles, Robotics, Manufacturing, and Retail. Each area is analyzed with respect to the integration of RPiand CV, showcasing their contributions to enhancingoperational efficiency and enabling innovative solutions. The presented solutions use different RPi boards, from RPi 3A+ up to the latest RPi 5.

Telfor JournalVol. 17(1)
Openalex Percentile: Top 71%
IoT and Edge/Fog Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Hardware and software of Computer Vision IoT solutions leveraging Raspberry PI Boards — Amela Zeković · Telfor Journal (2025) | TGRS Research Map | TGRS