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On the Development of Visual Sensors with Raspberry Pi

Published:16 October 2018Publication History

ABSTRACT

The increasing interest for Internet of Things (IoT) technologies has brought a lot of attention to microelectronics and sensors development. With the availability of affordable embedded platforms for countless applications, it is possible to develop low-cost programmable sensors to provide different types of data, benefiting applications in the IoT world. When cameras can be integrated to such development platforms, visual sensors can be easily created, supporting monitoring and controls functions based on the processing of images and videos. In this context, some of the most relevant details concerning the development of visual sensors with the Raspberry Pi platform are described herein, bringing fundamentals for the creation of highly programmable visual sensors.

References

  1. D. G. Costa, M. Collotta, G. Pau, and C. Duran-Faundez. 2017. A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City Applications. Sensors 17, 1 (2017), 1--17.Google ScholarGoogle Scholar
  2. S. G. Nikhade. 2015. Wireless sensor network system using Raspberry Pi and zigbee for environmental monitoring applications. In Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM). 376--381.Google ScholarGoogle Scholar
  3. V. Patchava, H. B. Kandala, and P. R. Babu. 2015. A Smart Home Automation technique with Raspberry Pi using IoT. In Smart Sensors and Systems (IC-SSS). 1--4.Google ScholarGoogle Scholar
  4. N. Patil, S. Ambatkar, and S. Kakde. 2017. IoT based smart surveillance security system using raspberry Pi. In Communication and Signal Processing (ICCSP). 0344--0348.Google ScholarGoogle Scholar

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  1. On the Development of Visual Sensors with Raspberry Pi

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      • Published in

        cover image ACM Other conferences
        WebMedia '18: Proceedings of the 24th Brazilian Symposium on Multimedia and the Web
        October 2018
        437 pages
        ISBN:9781450358675
        DOI:10.1145/3243082

        Copyright © 2018 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 October 2018

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        WebMedia '18 Paper Acceptance Rate37of111submissions,33%Overall Acceptance Rate270of873submissions,31%

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