Hancock Prospecting - Cattle Counting Powered by Computer Vision

Increased efficiencies and a reduction in cost

Prospecting’s world-class agribusiness, Hancock division is the second largest producer of beef in Australia

A cattle counting solution that utilizes machine learning to provide an accurate count of cattle/livestock in real-time using live video from HD drone cameras operated by the client’s staff.

Summary

Hancock Prospecting is an independent, privately held Australian Company that is the country’s 2nd largest beef producer with a total herd capacity of 340,000. Folio3 developed a state-of-the-art computer vision-based AI solution that processed high res images and videos of cattle in pens and pastures to provide the total count of animals.

Customer

Hancock Prospecting’s world-class agribusiness division is the second largest producer of beef in Australia. Owning over 14 properties in Australia, Hancock is spread from Western Australia to New South Wales and manages some of the finest cattle in the industry serving both domestic and international markets.

  • Team composition

    9 members

  • Client name

    Hancock Prospecting

  • Expertise used

    Object Detection & Classification, Web Development

  • Duration

    5 weeks

  • Services provided

    AI Model Development, Web Interface & Dashboards, AI Model Optimizations

  • Country

    Australia

  • Industry

    AgTech, Agriculture, Beef

Challenge

Hancock wanted to maximize its operational efficiency when managing and monitoring cattle and required an AI-based solution to enable them to count animals when in pens or pastures thereby removing the human error involved in the manual counting processes and making it as fast as possible.

Solution

Folio3 built a solution for a cattle counting solution that utilizes machine learning to provide an accurate count of cattle/livestock in real-time using live video from HD drone cameras operated by the client’s staff. The cattle entering or leaving the facility will be recorded and the video/images would be used to automatically detect and a count would be given for that particular herd or movement.

Folio3 developed and trained the machine learning model to be deployed in the solutions and also built a complete dashboard to manage and run the solution and reporting system.

Result

With Folio3’s cattle counting solution, Hancock was able to automate the cattle monitoring and counting process and remove human error from the process leading to increased efficiencies and a reduction in cost.

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