Multiscopic Game Camera Antler Scoring With 3D Photogrammetry
Find Innovative SolutionsGenerate Solutions
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 to generate 3-D data models of deer antlers, allowing for precise measurements and scoring using accepted criteria through photogrammetry techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
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 is poor
Solution Approach 1:
The patent transitions from ground-based 2D imaging to aerial 3D imaging using drones. By capturing images from multiple aerial perspectives and generating 3D data models, the system obtains true scale information for antler measurements, resolving the scaling ambiguity inherent in ground-based photography.
Solution Approach 2:
The patent introduces known-scale reference objects (such as game feeders or calibration targets) into the imaging scene. These intermediaries provide scale references that allow accurate measurement of antlers in the captured images, bridging the gap between the camera system and the measurement objective.
2Area of stationary object
If aerial surveys using drones are employed to capture images over larger areas, then the survey coverage is improved, but the system complexity and operational difficulty increase
Solution Approach 1:
The patent implements automated drone flight paths and autonomous image capture sequences. The system independently navigates, captures images at predetermined intervals, and processes the data without requiring constant human intervention, making aerial surveys more operationally feasible.
Solution Approach 2:
The patent pre-plans flight paths and identifies target areas before conducting aerial surveys. By preparing the survey methodology and drone routing in advance, the system reduces operational complexity during actual field deployment while maintaining comprehensive area coverage.
3Measurement precision
If multiple cameras are used to generate 3D data models for accurate measurements, then the measurement precision is improved, but the device complexity and cost increase
Solution Approach 1:
The patent combines multiple 2D images captured from different aerial perspectives into a single 3D data model. By merging the information from multiple views, the system achieves accurate three-dimensional measurements of antlers without requiring physically complex multi-camera rig structures.
Solution Approach 2:
The patent creates digital 3D copies or models of the physical antlers from captured images. These digital replicas allow for precise measurement and analysis without requiring physical measurement devices or complex optical setups, reducing overall system complexity while maintaining measurement accuracy.
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 provides accurate and reliable antler scoring, reducing guesswork and improving the efficiency of deer population management by offering precise, scalable data for informed decision-making.
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.