Pig Treatment Classification on Thermal Image Data using Deep Learning

Recently, image classification has gained recognition in several applications like self-driving cars, security surveillance systems, face detection, etc. The conventional methods have been overtaken by deep learning methods which can detect and classify objects in complex scenarios. In this paper, w...

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Bibliographic Details
Main Authors: Colaco, Savina Jassica, Kim, Jung Hwan, Poulose, Alwin, Van, Zutphen Sanne, Neethirajan, Suresh, Han, Dong Seog
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Classification
convolutional neural network (CNN)
Data models
Deep learning
Measurement
Neural networks
Real-time systems
Surveillance
thermal images
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Summary:Recently, image classification has gained recognition in several applications like self-driving cars, security surveillance systems, face detection, etc. The conventional methods have been overtaken by deep learning methods which can detect and classify objects in complex scenarios. In this paper, we propose a simple CNN model for pig treatment classification on thermal images. The proposed model is compared with different deep learning models which are widely used for image classification. The models are evaluated with our own thermal dataset collected using a FLIR camera. The experimental results show the thermal images of different pig treatments are better classified with the proposed model. The proposed model can achieve 99.96% accuracy with a few parameters.
ISSN:2165-8536
DOI:10.1109/ICUFN55119.2022.9829713