Aditya Erdhi Urandra, B. Dirgantoro, Budi Syihabuddin
{"title":"Design of On Board Data Handling using raspberry pi for nanosatellite payload","authors":"Aditya Erdhi Urandra, B. Dirgantoro, Budi Syihabuddin","doi":"10.1109/ICCEREC.2016.7814954","DOIUrl":null,"url":null,"abstract":"Design and analysis of On Board Data Handling by using raspberry pi, temperature sensors, accelerometers, servo motors and a camera have been done in this research. To capture an object, it is used a servo motor for controlling camera. In this research, also designed the guard dog to avoid system error due to data accumulation from sensors or camera. Testing distances are SO, 100 and 200 meters with an average time of 4 minutes 11 seconds and the smallest accuracy at a distance of 200 meters at 86.67%.","PeriodicalId":431878,"journal":{"name":"2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEREC.2016.7814954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Design and analysis of On Board Data Handling by using raspberry pi, temperature sensors, accelerometers, servo motors and a camera have been done in this research. To capture an object, it is used a servo motor for controlling camera. In this research, also designed the guard dog to avoid system error due to data accumulation from sensors or camera. Testing distances are SO, 100 and 200 meters with an average time of 4 minutes 11 seconds and the smallest accuracy at a distance of 200 meters at 86.67%.
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