Nano Pi

The NanoPi is a series of single-board computer produced by FriendlyElec.[1] Various versions of the board were released including the NanoPi M1+,[1] NanoPi M3,[2] NanoPi M4v2,[3] NanoPi Neo3,[4] NanoPi Neo4,[5] NanoPi Neo Air,[6] NanoPI R5C.[7]

Background

The NanoPi M1+ and Neo3 were reviewed as a smaller, cheaper, but less capable board than equivalent Raspberry Pi computers.[1][4] The NanoPi 4 R6S have three ethernet ports.[8]

Nano Pi computers have been used in experimental drones for disaster recovery and air quality monitoring.[6][9]

References
  1. "$30 NanoPi M1 Plus is Smaller Than a Raspberry Pi". PCMAG. Retrieved 2023-04-29.
  2. Tran, Duy; Manh Do, Ha; Sheng, Weihua; Bai, He; Chowdhary, Girish (2018). "Real‐time detection of distracted driving based on deep learning". IET Intelligent Transport Systems. 12 (10): 1210–1219. doi:10.1049/iet-its.2018.5172. ISSN 1751-9578. S2CID 115676885.
  3. Nathaniel Mott (2019-09-10). "Raspberry Pi 4 Competitor NanoPi M4 Gets Upgraded". Tom's Hardware. Retrieved 2023-04-29.
  4. Les Pounder (2020-09-10). "NanoPi NEO3 Review: Raspberry Pi Competitor for Your Network". Tom's Hardware. Retrieved 2023-04-29.
  5. Heath, Nick (2019-04-05). "NanoPi NEO4 review: A powerful Raspberry Pi rival but with drawbacks". TechRepublic. Retrieved 2023-04-29.
  6. Gu, Qijun; Jia, Chunrong (2019). "A Consumer UAV-based Air Quality Monitoring System for Smart Cities". 2019 IEEE International Conference on Consumer Electronics (ICCE). Las Vegas, NV, USA: IEEE. p. 4. doi:10.1109/ICCE.2019.8662050. ISBN 978-1-5386-7910-4. S2CID 71151289.
  7. Mark Tyson (2022-11-30). "Palm-Sized NanoPi R5C PC Starts at Just $49". Tom's Hardware. Retrieved 2023-04-29.
  8. Alderson, Alex (31 October 2022). "NanoPi R6S: New single-board computer launches with three Ethernet ports, HDMI 2.1, 8 GB RAM and a powerful processor". Notebookcheck. Retrieved 2023-04-29.
  9. Moreira, Erick Menezes; Oliveira, Jauvane Cavalcante de; Rosa, Paulo Fernando Ferreira (2019). "A Flying IoT Network to Help in Disaster Recovery". 2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE). pp. 352–357. doi:10.1109/LARS-SBR-WRE48964.2019.00068. ISBN 978-1-7281-4268-5. S2CID 212635733.


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