Dogs Feed Smart System With Food Scales Indicator IoT Based

RK Harahap, EP Wibowo… - … on Cybernetics and …, 2022 - ieeexplore.ieee.org
RK Harahap, EP Wibowo, D Nur'ainingsih, AK Wijaya, RASC Anindya
2022 4th International Conference on Cybernetics and Intelligent …, 2022ieeexplore.ieee.org
An IoT-based system of feeding and drinking for pet dogs will be described in this paper.
Regular feeding and drinking become a problem when pet owners are not at home or near
their pets. Feeding and drinking equipment combined with IoT technology can answer this
problem. In this research, the IoT system created an IoT-based system with remote control
and monitoring to make it easier for animal owners to provide pet food and drink via
smartphone devices. The pets referred to in this research are dogs. This system consists of …
An IoT-based system of feeding and drinking for pet dogs will be described in this paper. Regular feeding and drinking become a problem when pet owners are not at home or near their pets. Feeding and drinking equipment combined with IoT technology can answer this problem. In this research, the IoT system created an IoT-based system with remote control and monitoring to make it easier for animal owners to provide pet food and drink via smartphone devices. The pets referred to in this research are dogs. This system consists of two main functions, namely feeding and drinking. Each of these functions can operate manually and automatically. In addition to these two functions, there is an extension function, namely weighing food. Automatic feeding and drinking can operate according to a schedule designed using the RTC sensor DS2321 and manually via the Blynk Android app. Load cell sensor to measure the weight of food in the food container and ultrasonic sensor to measure food residue and drinking water in the container. The results of weighing food and measuring food and drinking waste are monitored through a smartphone application. Based on the test results, the results show that the tool can work according to the design function. The measurement results using the load cell sensor have an accuracy of 98% in weighing food weight compared to the reference results from the reference scales. The overall test results show that the system works well by providing manual input by the animal owner and automatically based on the RTC sensor. With this result, pet owners can leave their animals without worrying because they can monitor the animal's feeding and drinking schedule via their smartphones.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果