Design and Implement a Smart Conveyor System for Sorting Eggs Based On Quality and Weight
- DOI
- 10.2991/978-94-6463-364-1_98How to use a DOI?
- Keywords
- Egg Quality; Conveyor; Internet of Things; Quality of Service
- Abstract
Eggs are a common and accessible culinary item. Eggs are a vital source of nutrients for the human body and have a high nutritional value. Selecting high-quality eggs is essential since low-quality eggs can have a negative impact on health. Due to the human eye’s limited capacity to accurately sort vast amounts of eggs, farmers typically experience problems with errors in egg quality selection. This final project intends to develop an Internet of Things-based conveyor system for size and quality sorting of eggs. A smartphone running Android can be used to sort eggs by quality and keep track of their quantity on the conveyor belt. According to the findings of the tests, the accuracy for identifying egg quality is 92%. 4.6% is the load cell sensor’s standard error, which is considered to be minimal. The throughput calculation was 4.002 Mbps, and the delay calculation findings were 900 ms when assessing the relative Quality of Service.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Afandi Nur Aziz Thohari AU - Tri Raharjo Yudantoro AU - Slamet Handoko AU - Adisti Khairunnisa Nuzli AU - Ardhi Yahya AU - Parsumo Raharjo PY - 2024 DA - 2024/02/17 TI - Design and Implement a Smart Conveyor System for Sorting Eggs Based On Quality and Weight BT - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023) PB - Atlantis Press SP - 1078 EP - 1089 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-364-1_98 DO - 10.2991/978-94-6463-364-1_98 ID - Thohari2024 ER -