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Monitoring the health of cattle through computer vision
Industry
Agriculture
Use Case
Livestock Health Monitoring
Company size
11-50 employees
Headquarters
Belfast, Northern Ireland
Data labelling
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About
CattleEye is an AI-first cattle monitoring company founded by Terry Canning and Adam Askew in 2019. Their mission is to provide farmers with insights on cows’ welfare and performance using autonomous video monitoring.
The challenge
CattleEye monitors cows to give farmers insights on the herd’s overall health and detect behavioral anomalies or health issues of any individual cow.
The solution
CattleEye uses overhead security cameras to collect video data and annotate it using bounding boxes and V7’s keypoint skeleton tool. The goal is to monitor and understand cows’ behavior to build robust AI models that help farmers to act immediately when needed.
The results
Thanks to V7’s advanced video annotation solution, CattleEye managed to significantly speed up their annotation process.
Going from on-farm visits with vets manually recording data to fully remote scoring of videos in V7, the team has been able to greatly enrich the variety of training data from farms across the world. This also saves the busy vet travel time in addition to reducing the potential impact on the herd as cows do not need to be disturbed with on-farm visits.
Furthermore, Darwin’s API has proven invaluable in helping CattleEye to automate their data upload process and save time.
Training data needs
CattleEye collects video data from the CCTV cameras installed on various farms. They work with two types of videos – long clips (20 minutes) for cattle object detection and tracking, and short (20 seconds) videos corresponding to a single, particular cow.
With the help of trained vets, the team focuses on annotating the extreme edge cases to improve the algorithms. Vets use V7 to label videos, add health scores and thus enrich the data to make algorithms more accurate.
Why V7?
CattleEye handles large volumes of video data, and they needed a tool that could help them organize and manage their datasets more efficiently.
V7’s dataset management solution was the answer the team was looking for. CattleEye can now easily upload, store, organize, and manage their video data from one place.
Ryan added: “V7 is really easy to use, looks good, feels good. The other great thing is the customer support - bugs are fixed, email support is very fast, and feature requests are delivered as promised.”