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Assessment of Water Quality Parameters in Real-Time Environment

Punit Khatri, Karunesh Kumar Gupta, Raj Kumar Gupta
2020 SN Computer Science  
This paper presents a real-time water quality monitoring system based on the Raspberry Pi 3 development board and a Python framework.  ...  The water quality sensors were interfaced with the designed embedded platform. Finally, the acquired parameters were compared with the benchmark equipment for validation.  ...  Acknowledgements The authors are pleased to acknowledge the Birla Institute of Technology and Science for providing an enabling environment for carrying out the research work.  ... 
doi:10.1007/s42979-020-00368-9 fatcat:flxoaavpsnhpfmepntyu3es72i

Erica the Rhino: A Case Study in Using Raspberry Pi Single Board Computers for Interactive Art

Philip Basford, Graeme Bragg, Jonathon Hare, Michael Jewell, Kirk Martinez, David Newman, Reena Pau, Ashley Smith, Tyler Ward
2016 Electronics  
Erica arrived as a white fibreglass shell 3 which was then painted and equipped with 5 Raspberry Pi Single Board Computers (SBC).  ...  These 4 computers allowed the audience to interact with Erica through a range of sensors and actuators.  ...  To address this, the electronics were redesigned to use a limited number of category 316 5 network cables for all signals connected to the Raspberry Pi SBCs.  ... 
doi:10.3390/electronics5030035 fatcat:7bxbcybirnagvg65tbvl3s2niy

IoT for Smart Environment Monitoring Based on Python: A Review

Saad Hikmat Haji, Amira B. Sallow
2021 Asian Journal of Research in Computer Science  
With advancements in the internet of things (IoT) and the improvement of modern sensors, environmental monitoring has evolved into a smart environment monitoring (SEM) system in recent years.  ...  Moreover, the authors have thoroughly examined how advancements in sensor technology, the Internet of Things, and machine learning methods have made environmental monitoring into a truly smart monitoring  ...  [32] A wireless network sensor system for the environmental monitoring of the base station with Raspberry Pi, XBee for networking protocol, sensor node for combination sensor, controller, or Zigbee  ... 
doi:10.9734/ajrcos/2021/v9i130215 fatcat:zyxpyyor3jeldfk4d65ct27fv4

Broad‐scale applications of the Raspberry Pi: A review and guide for biologists

Jolle W. Jolles
2021 Methods in Ecology and Evolution  
1 A Raspberry Pi zero (left) and 4B (right) with a microSD card for scale  ...  The broad capabilities of the Raspberry Pi, combined with its low cost, ease of use and large user community make it a great research tool for almost any project.  ...  When on the same network, you can also access the data of the Raspberry Pi by mounting it as a network drive (for a file sharing tutorial, see Table S2 ).  ... 
doi:10.1111/2041-210x.13652 fatcat:eh2kbwir7jadfkldrcayxs7xmy

Forest Monitoring System with Virtual Fencing

Manisha K Ahirrao
2019 International Journal for Research in Applied Science and Engineering Technology  
The objective of this paper is to make an autonomous system for wildlife observation which would easily capture and transfer the picture based on IoT platform.  ...  Wildlife observation is one of the most challenging jobs in the world. The major challenge arises in security and safe guarding of the forest.  ...  The Raspberry pi is coded in python using the Tensor Flow Image Classifier, Open CV, Num Py based on concepts of deep neural networks more specific convolution neural network with staged pipeline.  ... 
doi:10.22214/ijraset.2019.5206 fatcat:m5iba6mkhjfmrbjljfbsdc7gaq

WiSE - a satellite-based system for remote monitoring

Sajid Nazir, Gorry Fairhurst, Fabio Verdicchio
2016 International Journal of Satellite Communications And Networking  
Declining costs and miniaturisation of electronics and sensors have enabled design of systems for intelligent remote monitoring.  ...  The Wireless Internet Sensing Environment project developed an architecture providing control and retrieval of data from networked sensors and cameras at a remote location using Internet backhaul.  ...  The authors thank Dr Rene Van der Wal for his support during the project.  ... 
doi:10.1002/sat.1176 fatcat:y3ch4nneqjblzjitnool24ycuu

Robust, real-time and autonomous monitoring of ecosystems with an open, low-cost, networked device

Sarab S. Sethi, Robert M. Ewers, Nick S. Jones, C. David L. Orme, Lorenzo Picinali
2018 Methods in Ecology and Evolution  
135 Pi A+ connected to a sensor input, and a Huawei E3531 USB 3G dongle for 136 connection to the mobile network.  ...  Raspberry Pi.  ... 
doi:10.1111/2041-210x.13089 fatcat:okyx4zpi4vabdl2nawleppi7bm

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

Imran Zualkernan, Salam Dhou, Jacky Judas, Ali Reza Sajun, Brylle Ryan Gomez, Lana Alhaj Hussain
2022 Computers  
Raspberry Pi consumed the least average current (838.99 mA) with a ten times worse latency of 2.83 s/image (s.d. = 0.036).  ...  Camera traps deployed in remote locations provide an effective method for ecologists to monitor and study wildlife in a non-invasive way. However, current camera traps suffer from two problems.  ...  Acknowledgments: The authors would like to thank Emirates Nature-WWF, UAE for their technical help and for providing the data of camera trap images.  ... 
doi:10.3390/computers11010013 fatcat:qmlf42l2brex3ggqkhmcq7ss6q

Conservation Tech Directory [article]

Carly Batist, Gracie Ermie
2021 figshare.com  
She builds machine learning platforms to support wildlife research, largely focused on automating image processing and bioacoustics analysis for marine mammal research.  ...  *A list of organizations, communities, companies, open-source projects and other resources within the conservation technology space.If you know of a resource that's not on this list but should be, fill  ...  Robotics & Great Barrier Reef Foundation Company Raspberry Pi tiny, affordable single-board computer; org aims to teach computing & digital making skills; has Raspberry Pi Foundation too https  ... 
doi:10.6084/m9.figshare.15442200.v1 fatcat:psz6udw76nb7rdmp32teechvfi

Conservation Tech Directory [article]

Carly Batist, Gracie Ermi, Gracie Ermie
2021 figshare.com  
She builds machine learning platforms to support wildlife research, largely focused on automating image processing and bioacoustics analysis for marine mammal research.  ...  You can reach her on Twitter (@Carly_Batist), LinkedIn, or WILDLABS.Gracie is a Research Engineer at the Allen Institute for Artificial Intelligence (AI2).  ...  stream from camera attached to Raspberry Pi to detect animals, so system doesn't rely on secondary sensors like PIR https://dynaikon.  ... 
doi:10.6084/m9.figshare.15442200.v6 fatcat:rimzpsafq5foxf25n7ucgueh3a

Autonomous monitoring framework for resource-constrained environments

Sajid Nazir, Hassan Hamdoun, Fabio Verdicchio, Gorry Fairhurst
2018 Cyber-Physical Systems  
This paper describes a framework for the design and implementation of an autonomous embedded remote monitoring system employing information-driven sensing to conserve energy and extend the system deployment  ...  Remote deployment of such systems is often constrained by limited power resources, thus a system must operate autonomously, balancing operational needs against available resources.  ...  URL: http:// www.dotrural.ac.uk/RemoteStream/ Disclosure statement No potential conflict of interest was reported by the authors.  ... 
doi:10.1080/23335777.2018.1499673 fatcat:mhnduxkmizeznc27v6nc65qfim

PICT: A low‐cost, modular, open‐source camera trap system to study plant–insect interactions

Vincent Droissart, Laura Azandi, Eric Rostand Onguene, Marie Savignac, Thomas B. Smith, Vincent Deblauwe
2021 Methods in Ecology and Evolution  
We developed PICT (plant-insect interactions camera trap), an inexpensive (<100 USD) do-it-yourself CT system based on a Raspberry Pi Zero computer designed to continuously film animal activity.  ...  The system can be remotely controlled using either a smartphone, tablet or laptop via the onboard Wi-Fi.  ...  range of environmental sensors are available for Raspberry Pi computers.  ... 
doi:10.1111/2041-210x.13618 fatcat:ew4nkknohffrdbo7zgcd2smfiy

Conservation Tech Directory [article]

Carly Batist, Gracie Ermi, Gracie Ermie
2021 figshare.com  
She builds machine learning platforms to support wildlife research, largely focused on automating image processing and bioacoustics analysis for marine mammal research.  ...  *A list of organizations, communities, companies, open-source projects and other resources within the conservation technology space.If you know of a resource that's not on this list but should be, fill  ...  com/ automated alternatives to wildlife survey efforts, combining remote- sensing, machine learning; for-profit model, do a lot of work for gov't agencies Santa Cruz, CA, USA remote sensing AI/ML  ... 
doi:10.6084/m9.figshare.15442200.v4 fatcat:gzksivxqk5b45li4ltfubqj4fa

Energy Consumption Analysis of Edge Orchestrated Virtualized Wireless Multimedia Sensor Networks

Tenager Mekonnen, Miika Komu, Roberto Morabito, Tero Kauppinen, Erkki Harjula, Timo Koskela, Mika Ylianttila
2018 IEEE Access  
INDEX TERMS Docker containers, energy efficiency, Internet of Things (IoT), video sensor networks, virtualization, wireless multimedia sensor networks (WMSN). 1 Drone surveillance speeding Hurricane Harvey  ...  In our scenario, camera nodes are most of the time in "power off" state to save energy. They are switched on for streaming video only when activity is detected by motion sensor nodes.  ...  Thus, for applications that require networking Raspberry Pi 3B provides better performance at less power and cheaper cost than Raspberry Pi 2B. VIII.  ... 
doi:10.1109/access.2017.2783447 fatcat:ydsojm7igzdtpdmmgslcrptyam

Design of Amphibious Vehicle for Unmanned Mission in Water Quality Monitoring Using Internet of Things

Balasubramanian Esakki, Surendar Ganesan, Silambarasan Mathiyazhagan, Kanagachidambaresan Ramasubramanian, Bhuvaneshwaran Gnanasekaran, Byungrak Son, Su Woo Park, Jae Sung Choi
2018 Sensors  
For diverse wind conditions and angles of attack (AOA), computational fluid dynamic (CFD) analysis is carried out to assess the effect of drag and suitable design modification is suggested.  ...  Internet of things (IoT) based water quality measurement is performed in a typical lake and water quality is measured using pH, dissolved oxygen (DO), turbidity, and electrical conductivity (EC) sensors  ...  A Raspberry pi zero BCM 2835, 1 GHz ARM 11 core, 512 MB of LPDDR2 SDRAM (Raspberry PI Foundation, Cambridge.  ... 
doi:10.3390/s18103318 pmid:30282939 pmcid:PMC6210420 fatcat:cz2mg4o2ibfcrfcubw7dejoilq
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