Multiscopic Game Camera Setup for Accurate 3D Antler Scoring
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Solution Overview
Problem
Current methods for managing and scoring whitetail deer populations rely on subjective estimates and are prone to errors due to the difficulty in obtaining accurate, scalable images from ground-based cameras, which limits the effectiveness of deer management and scoring systems.
Innovation Solution
The use of two cameras mounted on drones or stationary systems that capture 2-D images of whitetail deer antlers, which are then processed to generate 3-D data models using photogrammetry techniques for precise antler scoring, allowing for accurate measurements and scoring based on accepted criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If ground-based cameras are used to capture images of whitetail deer, then the setup is simple and cost-effective, but the images are difficult to judge as to scale and scoring accuracy deteriorates
Solution Approach 1:
A known-scale reference object (such as a yardstick or calibration target) is introduced as an intermediary element in the image capture process. This reference object provides a scale marker that allows accurate measurement of antler dimensions in the captured images, bridging the gap between simple ground-based photography and precise measurement requirements.
Solution Approach 2:
The system changes the parameter of image scale reference by incorporating known-scale reference objects into the captured imagery. This transformation allows the conversion of subjective visual estimation into objective, measurable data with known scale parameters, thereby improving measurement precision while maintaining the simplicity of ground-based camera deployment.
2Measurement precision
If multiple cameras are used to improve scoring accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
Instead of using multiple physical cameras to capture images from different angles, the system uses a single camera to capture images that include known-scale reference objects. The reference objects serve as copies or proxies for scale information, allowing accurate measurements to be derived from single-viewpoint images without requiring complex multi-camera setups.
Solution Approach 2:
The essential measurement function is extracted from the camera system itself and placed into the reference objects. By taking out the scale reference function from the imaging system and embedding it in separate, simple reference objects, the system achieves high measurement precision while keeping the camera system itself simple and uncomplicated.
3Productivity
If subjective estimates are used for deer population monitoring, then the process is quick and requires minimal equipment, but reliability of population management deteriorates
Solution Approach 1:
The system replaces the mechanical/subjective process of visual estimation with an automated digital image processing system. Known-scale reference objects captured in the images enable computer-based measurement and calculation of antler dimensions, substituting human subjective judgment with objective, repeatable digital measurements while maintaining quick processing speeds.
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 approach minimizes guesswork and provides accurate, scalable measurements of whitetail deer antlers, enhancing the precision and reliability of deer population management and scoring systems.
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 of particular portions of the whitetail deer antlers
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.