20240008458. SYSTEM, METHOD, AND APPARATUS FOR ACTIVE PEST DENIAL, APIARY MONITORING AND MANAGEMENT simplified abstract (Unknown Organization)

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SYSTEM, METHOD, AND APPARATUS FOR ACTIVE PEST DENIAL, APIARY MONITORING AND MANAGEMENT

Organization Name

Unknown Organization

Inventor(s)

Gordon David Mcintosh of Austin TX (US)

SYSTEM, METHOD, AND APPARATUS FOR ACTIVE PEST DENIAL, APIARY MONITORING AND MANAGEMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240008458 titled 'SYSTEM, METHOD, AND APPARATUS FOR ACTIVE PEST DENIAL, APIARY MONITORING AND MANAGEMENT

Simplified Explanation

The disclosed patent application describes a system, method, and apparatus for automated audio and vision-based pest detection and entry denial for a beehive. The apparatus includes multiple video classification sensors that transmit signals of the insects' dorsal and lateral aspects to a computer running video processing algorithms. These algorithms classify all insects attempting to enter the beehive. Additionally, the apparatus includes multiple audio classification sensors that transmit audio signals to the computer for audio analysis to assist in classification. Insects classified as pests (not-a-bee) are actively excluded from the beehive.

  • The apparatus includes multiple video classification sensors for capturing the dorsal and lateral aspects of insects.
  • The captured video signals are transmitted to a computer running video processing algorithms.
  • The video processing algorithms classify all insects attempting to enter the beehive.
  • The apparatus also includes multiple audio classification sensors for capturing audio signals.
  • The captured audio signals are transmitted to the computer for audio analysis to assist in insect classification.
  • Insects classified as pests are actively prevented from entering the beehive.

Potential Applications:

  • Beekeeping industry: This technology can be used by beekeepers to automatically detect and prevent pests from entering beehives, protecting the bees and their honey production.
  • Agriculture: The automated pest detection and entry denial system can be applied to other agricultural settings to protect crops from harmful insects.
  • Research: The system can be used in scientific research to study insect behavior and population dynamics.

Problems Solved:

  • Pest control: The technology solves the problem of manually identifying and removing pests from beehives, providing an automated and efficient solution.
  • Bee health: By preventing pests from entering beehives, the technology helps maintain the health and well-being of the bees, reducing the risk of diseases and infestations.

Benefits:

  • Improved efficiency: The automated system eliminates the need for manual pest detection and removal, saving time and effort for beekeepers.
  • Enhanced bee health: By actively excluding pests, the technology helps maintain a healthier environment for bees, promoting their overall well-being and productivity.
  • Increased crop protection: Applying the technology to agricultural settings can help protect crops from harmful insects, reducing the need for chemical pesticides.


Original Abstract Submitted

aspects of this disclosure include a system, method and apparatus providing automated audio and vision based pest detection and entry denial for a beehive. the apparatus may include multiple video classification sensors that transmit a signal of the dorsal and lateral aspect of the insects to a computer running a video processing algorithms that classify all insects attempting to enter a beehive. additionally, the apparatus may include multiple audio classification sensors that transmit audio signals to the computer for audio analysis to assist in classification. insects classified as pests (not-a-bee) are actively excluded from the beehive.

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