Method for calculating deviation relations of a population

This invention describes a method to analyze a single image to count a population of objects, identify any abnormalities among them, and then calculate the proportion of abnormal objects to the total. While the general concept applies broadly, the patent claims specifically narrow the application to organisms, and even more precisely, to bees. This could be used, for instance, to monitor the health of a bee colony by analyzing images of the bees.

Why it matters: Since 2022, advancements in computer vision and machine learning, particularly in object detection and anomaly recognition, have made such image analysis more accurate and less resource-intensive. Pre-trained models and edge computing now make real-time, on-device analysis for applications like agricultural monitoring more feasible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComputer vision, machine learning algorithms

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