There are strict regulations around the number of animals allowed on a livestock export ship, based on the floor area of the pens. With truckloads of sheep or cattle being loaded one after the other, keeping an accurate count is a highly skilled and stressful task.
This project aims to build on systems using artificial intelligence in other industries, and a video camera mounted over the loading ramp into the ship, to develop an automated sheep counting program which may free up staff at the port for other tasks while providing highly accurate results.
This project aims to:
Develop a video camera-based computer algorithm for counting sheep being loaded onto a livestock export ship with accuracy greater than 99.5%.
Provide details and instructions on appropriate hardware, the software design and relevant camera setup.
A highly accurate automated system will provide independent calculations of the number of sheep being loaded onto export ships and reduce the human resources required to count sheep.
This technology is also likely to be suitable for use in feedlots and saleyards, and eventually for counting other types of livestock.