Trail Camera Motion Sensor Sensitivity Segmentation
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Solution Overview
Problem
Trail cameras with single motion sensors face limitations due to high false triggers from vegetation at high sensitivity settings and reduced detection range at low sensitivity settings, affecting their ability to capture images of wildlife effectively.
Innovation Solution
Implementing multiple motion sensors with adjustable sensitivities to trigger different image capture settings, allowing for flexible control over image capture modes, such as capturing still images or videos based on sensor sensitivity, and adjusting camera settings temporarily after a trigger, ensuring more accurate animal detection and reduced false triggers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If high sensitivity setting is used for motion sensor, then detection range is improved, but false triggers from vegetation increase
Solution Approach 1:
The patent divides the detection sensitivity into multiple levels (e.g., high, medium, low sensitivity settings) that can be independently selected. This segmentation allows the system to optimize between detection range and false trigger rates by choosing appropriate sensitivity levels for different environmental conditions and wildlife targets.
Solution Approach 2:
The motion sensor sensitivity is made dynamically adjustable rather than fixed. The system can switch between different sensitivity settings based on detected conditions, such as time of day, environmental factors, or previous detection patterns, thereby adapting to reduce false triggers while maintaining adequate detection range.
2Reliability
If low sensitivity setting is used for motion sensor, then false triggers are reduced, but detection range is reduced
Solution Approach 1:
Multiple sensitivity levels are provided as discrete options, allowing the system to segment the detection capability into manageable tiers. This enables selective use of lower sensitivity settings when false triggers are problematic while preserving the option to use higher sensitivity settings when detection range is prioritized.
Solution Approach 2:
The sensitivity parameter of the motion sensor is made changeable across different operational modes. By adjusting this key parameter, the system can optimize performance for specific conditions—using lower sensitivity to reduce false triggers from vegetation while maintaining sufficient detection range for wildlife at appropriate distances.
3Device complexity
If single motion sensor is used, then device complexity is reduced, but flexibility in image capture settings is limited
Solution Approach 1:
A single motion sensor is equipped with dynamically adjustable sensitivity settings that can be changed based on operational requirements. This dynamic capability provides flexibility in image capture settings (such as trigger thresholds, detection zones, and sensitivity levels) without requiring multiple physical sensors, thereby maintaining low device complexity while achieving adaptability.
Data Source
AI summary
The disclosed implementations offer techniques for using different motion sensitivity settings for a trail camera to flexibly control how the trail camera captures images. For instance, a trail camera can be provided with multiple motion sensors configurable to different sensitivities, and can have different image capture settings depending on which motion sensor triggers. In other implementations, a single motion sensor can output a magnitude of a detection signal to similarly control image capture settings.