Learn to build software and hardware projects featuring the Raspberry Pi! Raspberry Pi represents a new generation of computers that encourages the user to play and to learn and this unique book is aimed at the beginner Raspberry Pi user who is eager to
Robinson, Andrew, Cook, Mike
core
AI-powered BlindSpot VisionGuide system on raspberry Pi for enhancing independence of visually impaired users. [PDF]
Sudha M +3 more
europepmc +1 more source
PiRamid: A compact Raspberry Pi imaging box to automate small-scale time-lapse digital analysis, suitable for laboratory and field use. [PDF]
Long MM +4 more
europepmc +1 more source
Development of surveillance robot based on face recognition using Raspberry-PI and IOT
Houda Meddeb +2 more
semanticscholar +1 more source
Computer Vision for Monitoring Wild Bees and Wasps: A Structured Literature Review
This review surveys recent (2020–2026) computer vision research on automated monitoring of wild bees and wasps, covering tasks such as species detection, habitat observation, and behavior analysis. It analyzes datasets, public resources, hardware, and software development.
Chenchang Liu +2 more
wiley +1 more source
System-Level Offline Time Synchronization Architecture for Distributed Electrical Signal Monitoring Using Raspberry Pi 5. [PDF]
Burlibaşa A +6 more
europepmc +1 more source
Raspberry Pi nest cameras: An affordable tool for remote behavioral and conservation monitoring of bird nests. [PDF]
Hereward HFR +15 more
europepmc +1 more source
Toward Precision Biodiversity Detection: An Edge‐Deployable Framework for Mitigating Data Redundancy
This research introduces the WS—YOLO, a lightweight and high—efficiency wildlife detection model that is specifically optimized for edge deployment within camera trap systems. The goal is to enable both false trigger filtering and accurate animal detection within a single model, tailored for low‐power edge deployment. The proposed method contributes to
Huihui Sun, Yang Liu, Yang Wang
wiley +1 more source
Annotated drowsiness detection dataset captured using Raspberry Pi 5. [PDF]
Liawatimena S, Isworo N.
europepmc +1 more source
A low-cost and open-source measurement system to determine the Young's and shear moduli and Poisson's ratio of soft materials using a Raspberry Pi camera module and 3D printed parts. [PDF]
Sands M, Kim J.
europepmc +1 more source

