• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.275-282
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• 2024

This paper proposes an app-based feeder that performs functions such as distributing food and measuring exercise amount and a wearable collar that measures activity level to manage pet obesity in modern society where the obesity rate of pets is increasing. The wearable collar measures the pet's activity level and suggests the appropriate amount of food based on the average daily activity level. We studied an app-based pet feeding system that can provide the appropriate amount of feed per day through an app to enable obesity management even in unexpected situations.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.5 no.1
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• pp.13-24
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• 2006

This paper proposes a wireless management system for a pet dog using wireless sensor network. The developed intelligent wireless management system is compose of a central control system, auto-feeder, miniguidance robot, and wireless sensing devices. The developed system uses three types of sensed data such as light, temperature, md sounds from a pet dog and surrounded environment respectively. The presented design method using these data provides an efficient way to controlling and monitoring the pet dog. The implemented system can be used as a design framework of portable device for the pet management.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.7 no.1
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• pp.1-13
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• 2007

This paper proposes a wireless management system for a pet dog using wireless sensor network. The developed intelligent wireless management system is compose of a central control system, auto-feeder, mini-guidance robot, and wireless sensing devices. The developed system uses three types of sensed data such as light, temperature, and sounds from a pet dog and surrounded environment respectively. The presented design method using these data provides an efficient way to controlling and monitoring the pet dog. The implemented system can be used as a design framework of portable device for the pet management.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.263-278
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• 2022

With the recent advent of IoT technology, automatic pet feeders are being distributed so that owners can feed their companion animals while they are out. However, due to behaviors of pets, the method of measuring weight, which is important in automatic feeding, can be easily damaged and broken when using the scale. The 3D camera method has disadvantages due to its cost, and the 2D camera method has relatively poor accuracy when compared to 3D camera method. Hence, the purpose of this study is to propose a deep learning approach that can accurately estimate weight while simply using a 2D camera. For this, various convolutional neural networks were used, and among them, the ResNet101-based model showed the best performance: an average absolute error of 3.06 grams and an average absolute ratio error of 3.40%, which could be used commercially in terms of technical and financial viability. The result of this study can be useful for the practitioners to predict the weight of a standardized object such as feed only through an easy 2D image.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.315-318
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• 2020

Due to the increase in single-person households among the people who have companion animals, it is difficult to feed them to companion animals in the absence of the owner, so an automatic feeding machine was designed. In this paper, we propose an automatic feeding machine that has a drug distribution function as well as feeds using the Arduino platform. It is expected that in the proposed automatic feeding machine, users can access the food service through the website, and experience the convenient and extended food service function through the automatic dispensing system that combines the two materials.