Human-Animal Identification via Selective Sensory Stimulation
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Solution Overview
Problem
Conventional methods for distinguishing between humans and animals in monitoring surveillance systems have low accuracy due to reliance on absolute size detection, which is unreliable, especially in poor weather conditions and when targets hide from image capturing devices, leading to decreased identification accuracy.
Innovation Solution
An apparatus and method that selectively stimulates the senses of a target using different frequency bands and types of stimuli, such as sound or visual signals, and detects reactions to accurately identify whether a target is human or animal by utilizing sensors like ultrasonic, radar, and cameras to analyze movement patterns and reactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If absolute size based identification method is used, then the identification process is simple, but the detection accuracy is low
Solution Approach 1:
The patent changes the identification parameter from absolute size to reaction pattern to stimulation. By applying different frequency stimuli (e.g., 20Hz for humans, 100Hz for animals) and observing reaction patterns, the system achieves more accurate identification without significantly increasing system complexity
Solution Approach 2:
The system introduces feedback by observing the target's reaction to stimulation. The identification unit analyzes the reaction pattern (movement, sound, heat change) in response to stimulation signals, creating a closed-loop identification process that improves accuracy over static size-based methods
2Ease of operation
If image processing method is used, then the identification can be performed visually, but the identification accuracy decreases in poor weather conditions
Solution Approach 1:
The patent implements multi-functional detection by combining multiple sensing methods (ultrasonic sensors, infrared sensors, cameras) that can operate across different environmental conditions. While image processing provides visual identification capability, the system supplements it with ultrasonic and infrared sensing that function effectively in poor weather, nighttime, or when targets hide
Solution Approach 2:
The system uses stimulation signals as intermediaries to elicit reactions from targets. By introducing ultrasonic or infrared stimulation and detecting the resulting reactions through multiple sensor types, the system can identify targets even when visual imaging fails due to weather conditions or target concealment
3Measurement precision
If selective stimulation with multiple sensors is used, then the identification accuracy is enhanced, but the device complexity increases
Solution Approach 1:
The patent segments the identification system into distinct functional modules: stimulation signal generation unit, multiple sensing units (ultrasonic, infrared, camera), reaction pattern analysis unit, and identification unit. This modular segmentation allows each component to perform a specific function, making the complex system more manageable and maintainable while achieving high identification 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 enhances identification accuracy by leveraging the distinct cognitive ranges of human and animal senses, allowing precise differentiation and reducing false alarms, thereby improving the functionality of monitoring surveillance systems.
Implementation Method 1
The stimulation signal output unit may be implemented as a beamforming antenna for controlling an output direction and an output strength of the stimulation signal according to a beamforming method
Implementation Method 2
The stimulation signal output unit may be implemented a directional sound wave generator for controlling the output direction and the output strength of the stimulation signal according to a phase shifting method
Data Source
AI summary
An apparatus and method for identifying a human being and an animal are disclosed to properly identifying whether or not a target is a human being or an animal. The apparatus for distinguishing between a human being and an animal includes: a target stimulation unit generating a stimulation signals for selectively stimulating the senses of a human being and an animal and providing the generated stimulation signal to a target; and a target identifying unit detecting the reaction of a target to the simulation signal to identify whether or not the target is a human being or an animal.