Cattle Eye

Revolutionising Livestock Health with Camera Vision at the Edge: Cattle Eye's IoT Transformation

Empowering the Future of Farming

In the ever-evolving world of agriculture, staying ahead means embracing technologies that drive efficiency, resilience, and sustainability. Cattle Eye, an award-winning agri-tech innovator, is doing just that; pioneering a future where artificial intelligence and IoT combine to redefine how farmers care for their livestock.

Their AI-powered video analytics platform offers deep insights into cattle health and behaviour, helping farmers optimise herd management and uphold animal welfare standards. To truly scale their vision, especially across regions with limited internet connectivity, Cattle Eye needed a smarter and more accessible approach.

The Challenge: Connectivity and Cost Barriers

Cattle Eye’s proprietary machine-learning model relied entirely on the cloud. It required significant bandwidth to upload high-resolution video footage, which posed two major issues:

  1. High cloud compute costs make large-scale deployments financially challenging.
  2. Limited usability in rural areas, where internet infrastructure often lags.

Cattle Eye turned to edge computing to ensure every farmer could access cutting-edge livestock insights regardless of location.

The Solution: Intelligent Processing at the Edge

Green Custard partnered with Cattle Eye to reimagine their platform using AWS IoT Greengrass, shifting video processing from the cloud to the edge where the action happens. This edge-first approach brought intelligence directly to the farm without needing high bandwidth connections.

Key Innovations Delivered:

  • Edge-Ready Architecture: Transformed cloud-native AI algorithms into edge-compatible services using AWS Greengrass.
  • Tailored Hardware Selection: Collaboratively identified IoT devices capable of real-time video analysis in demanding farm environments.
  • Streamlined Deployment: Implemented secure device provisioning and automated CI/CD pipelines to scale deployments rapidly.
  • Resilient Operations: Added robust logging, alerts, and monitoring via AWS Device Defender and CloudWatch, ensuring reliability in the field.

“Green Custard’s culture and attitude really drew us to them as partners. We knew we would be able to continue working with them beyond the scope of the project. We lacked knowledge about the state-of-the-art technology available, and Green Custard helped fill this gap and helped us avoid all the mistakes we might have made.”

Adam Askew, Co-Founder & CTO, Cattle Eye

The Results: Smarter Farming, Broader Reach

With edge processing now enabled, Cattle Eye anticipates significant benefits for customers operating in low-bandwidth environments, especially rural farms where connectivity is limited. The solution is also ideally suited to farms using robotic milking systems, as the edge device enables continuous, 24/7 data analysis without interruption.

  • Lower Costs: Local processing dramatically reduced reliance on cloud compute, enabling affordable scaling.
  • Connectivity Resilience: Farmers in low-bandwidth areas can now access advanced analytics without waiting for video uploads.
  • Scalable Growth: Cattle Eye is positioned for rapid expansion without bottlenecks thanks to automation and containerisation.
  • Technical Independence: The Cattle Eye team can now manage and evolve its edge platform internally.

By eliminating the need to transmit video to the cloud for processing, the platform now delivers faster time to insight, empowering farmers to make more informed decisions in real time.

This project is a blueprint for agricultural leaders seeking to harness IoT and AI in practical, scalable, and farmer-first ways. By meeting rural challenges head-on with edge intelligence, Cattle Eye sets a precedent for how technology can serve even the most remote corners of agriculture.

Supported by Green Custard’s deep IoT expertise, Cattle Eye is transforming livestock management and shaping the next era of smart, connected farming.

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