Multiscopic Antler Imaging for Accurate 3D Whitetail Scoring
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Solution Overview
Problem
Current methods for managing whitetail deer populations rely on subjective estimates and are prone to errors due to the difficulty in obtaining accurate, scalable images of deer antlers, which hinders effective population management and scoring.
Innovation Solution
A multiscopic game camera system using two or more cameras, either mounted on drones or in stationary positions, captures 2-D images that are processed to generate 3-D data models of deer antlers, allowing for precise measurements and scoring using accepted criteria, such as the Boone and Crockett Club scoring system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ground-based cameras are used to capture images of whitetail deer, then the system is simple to operate and requires minimal equipment, but the images captured are difficult to judge as to scale and scoring accuracy is poor
Solution Approach 1:
The patent transitions from 2-D ground-based camera images to 3-D aerial imagery captured by drones. This dimensional change provides scale reference and spatial context that enables accurate antler scoring. The 3-D models generated from aerial images allow for precise measurement of antler dimensions while maintaining relative system simplicity through automated processing.
Solution Approach 2:
The patent introduces 3-D modeling as an intermediary process between image capture and scoring. The 3-D models serve as a mediator that translates aerial images into measurable data, enabling accurate scoring without requiring complex direct measurement systems. This intermediary step resolves the contradiction by providing a systematic approach to extract precise measurements from aerial imagery.
2Measurement precision
If multiple cameras mounted on drones are used to capture 2-D images for 3-D modeling, then measurement precision is improved, but the device complexity and operational requirements increase
Solution Approach 1:
The patent combines multiple cameras and drones into an integrated aerial survey system. By merging the capture of multiple 2-D images from different angles and combining them through photogrammetry, the system achieves high measurement precision. The integration of hardware and software components creates a unified system that, while complex in composition, operates through standardized automated workflows.
Solution Approach 2:
The patent replaces manual measurement and scoring operations with automated image processing and 3-D modeling algorithms. This substitution of mechanical/manual processes with computational methods improves measurement precision while standardizing operations. The automated processing pipeline reduces the operational burden despite the sophisticated hardware required.
3Reliability
If aerial surveys using drones are conducted to obtain scalable images, then population monitoring accuracy is improved, but the cost and operational complexity increase
Solution Approach 1:
The patent creates a multi-functional aerial survey system that serves both population monitoring and individual antler scoring purposes. The same drone-based imaging system and 3-D modeling platform are used for various wildlife management applications, amortizing the complexity and cost across multiple uses. This universal system provides reliable data for both broad population trends and specific individual assessments.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system provides accurate and reliable antler scoring by minimizing guesswork and enhancing the precision of deer population management, enabling better decision-making for hunters and wildlife managers.
Implementation Method 1
These 2-D images are used to generate a three-dimensional (3-D) data model of the whitetail deer antlers. Using techniques such as photogrammetry, the 3-D data model is then used to obtain measurements
Data Source
AI summary
A game scoring camera system is disclosed for capturing images of game animals for the purpose of scoring the antlers using an accepted scoring method. One or more cameras are used in a multiscopic arrangement for capturing two-dimensional (2-D) images which are then converted to three-dimensional (3-D) data models, the resulting 3-D data models being used for determining measurements of various antler structures for calculating a score for the set of antlers captured in the images, the score being based on existing antler scoring systems. Some embodiments include one or more cameras, each being mounted on an unmanned aerial vehicle or drone, for capturing images during an aerial survey of game animals located within a particular area. Other embodiments include at least two cameras mounted in a stationary configuration for capturing images of game animals located within a particular area.