This survey compares IoT applications utilizing Raspberry Pi and computer vision methods, highlighting key areas and implications.
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.
No takes yet. Share an insight, caveat, or question.
Amela Zeković (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: