18615874. COMPUTER VISION-BASED FEEDING MONITORING AND METHOD THEREFOR simplified abstract (Wisconsin Alumni Research Foundation)

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COMPUTER VISION-BASED FEEDING MONITORING AND METHOD THEREFOR

Organization Name

Wisconsin Alumni Research Foundation

Inventor(s)

Joao Reboucas Dorea of Madison WI (US)

Sek Cheong of Madison WI (US)

Guilherme Jordao de Magalhaes Rosa of Middleton WI (US)

COMPUTER VISION-BASED FEEDING MONITORING AND METHOD THEREFOR - A simplified explanation of the abstract

This abstract first appeared for US patent application 18615874 titled 'COMPUTER VISION-BASED FEEDING MONITORING AND METHOD THEREFOR

The patent application pertains to methods and apparatuses for characterizing livestock feeding functions using networked cameras and machine-vision logic circuitry.

  • Networked cameras capture images of a livestock feed area, while machine-vision logic circuitry characterizes the amount of available feed and the presence of livestock in the area over time.
  • Feed-control logic circuitry assigns time-based condition values to each feed area based on the characterized feed amount and livestock presence.
  • Instructions for presenting feed in the feed area are output based on the assigned time-based condition values and the current time.
  • The output can be used to control the amount, timing, and other feeding characteristics.

Potential Applications: - Livestock management systems - Automated feeding systems for farms - Monitoring livestock health and behavior

Problems Solved: - Efficient monitoring of feed levels and livestock presence - Automation of feeding processes - Improved livestock management practices

Benefits: - Increased efficiency in feeding operations - Enhanced livestock health and well-being - Cost savings for farmers through optimized feeding schedules

Commercial Applications: Title: Automated Livestock Feeding System Revolutionizes Farm Management This technology can be utilized in agricultural settings to streamline feeding processes, improve livestock health, and optimize farm operations. The market implications include increased productivity, reduced labor costs, and improved overall efficiency in livestock management.

Questions about Livestock Feeding Characterization: 1. How does the use of networked cameras and machine-vision logic circuitry improve livestock feeding operations? - The use of networked cameras and machine-vision logic circuitry allows for real-time monitoring and characterization of feed levels and livestock presence, enabling more efficient and effective feeding processes.

2. What are the potential benefits of implementing automated livestock feeding systems on farms? - Implementing automated livestock feeding systems can lead to increased productivity, improved livestock health, and cost savings for farmers through optimized feeding schedules.


Original Abstract Submitted

Aspects of this disclosure are directed to methods and apparatuses involving the characterization of livestock feeding functions. As may be implemented as or with one or more embodiments herein, networked cameras are configured to capture images of a livestock feed area and machine-vision logic circuitry characterizes, based on the captured images, an amount of available feed and the presence of livestock in the livestock feed area depicted in the captured image over time. Feed-control logic circuitry may assign time-based condition values each respective feed area characterized by the cameras based on the characterized amount of available feed and the characterized presence of livestock provided via the machine-vision logic circuitry. An instruction characterizing the presentation of feed in the feed area may be output based on the assigned time-based condition values and a current time. Such an output may be used to control the presentation amount, timing and/or other feeding characteristics.