Vania, Vania and Karyono, Kanisius and Nugroho I., Hargyo Tri (2017) Smart dog feeder design using wireless communication, MQTT and Android client. In: 2016 International Conference on Computer, Control, Informatics and its Applications, 3-5 Oct. 2016, Tangerang, Indonesia.
Full text not available from this repository.Abstract
Regular feeding is one of the problems in dog's maintenance. Owners often forget to feed their pets because of their work. Smart Dog Feeder is the answer to these problems. This device can provide regular feeding without disrupting owner's work. Owners can monitor feeding process with their Android smartphone virtually. Smart Dog Feeder can give authentication with RFID, set feeding time and portion per serving through Android smartphone, send feeding report (eaten or partially eaten), and dog arrival when the feeding time has arrived. Every setting about feeding time, portion, stock and waiting time will be set on Android with minimum requirement of Jelly Bean version, SDK 18 and has been installed with Appliance Hub application. Smart Dog Feeder has stock information, feed schedule, waiting time and owner's name from server uses MQTT protocol. All information will be sent in JSON format and will be processed by Smart Dog Feeder, Android and server. Smart Dog Feeder will save the schedule and set RTC alarm which will interrupt when the feed time has arrived. Authentication process is done by checking RFID tag which is attached on dog collar. Food will be served based on user's setting and be measured by load cell. Experiment is done by seeing punctuality, portion congruence, delivery of settings and notification within devices. The result of experiment is Smart Dog Feeder can receive messages from server and do feeding at the right time. Next development can be done by adding other devices in Appliance Hub system.
Item Type: | Conference or Workshop Item (Paper) |
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Keywords: | Android , Appliance Hub , Arduino UNO , Internet of Things , JSON , MQTT , NodeMCU , Smart Dog Feeder |
Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming |
Divisions: | Faculty of Engineering & Informatics > Computer Engineering |
Depositing User: | Administrator UMN Library |
Date Deposited: | 02 Dec 2021 15:51 |
Last Modified: | 24 Jan 2023 03:51 |
URI: | https://kc.umn.ac.id/id/eprint/19324 |
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