Deep Learning Approach for RealTime Contraction Detection in Laboring Dairy Cattle
This paper presents a computer vision-based approach for the automatic recognition of labor contractions in cows.
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Key points
- Currently, the animal production sector is undergoing rapid development of techniques that allow automatic monitoring of animal behaviour and health.
- From the obtained videos, 8500 cow contraction actions and about 25 000 non-contraction sequences were extracted which constituted the dataset.
- Leveraging image processing techniques and deep learning algorithms like Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), our methodology extracts relevant features from video frames to detect and classify contractions.
- Our study demonstrates a high accuracy rate of over 95% in detecting labor contractions.
Sources (1)
- [1]Deep Learning Approach for RealTime Contraction Detection in Laboring Dairy CattlearXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 9, 08:55 AM
This paper presents a computer vision-based approach for the automatic recognition of labor contractions in cows.
Currently, the animal production sector is undergoing rapid development of techniques that allow automatic monitoring of animal behaviour and health.
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