Pet Teasing Robot Control Using Image Recognition and Laser Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current solutions for managing unattended pets often result in behavioral issues and damage to property, as they lack accurate prediction and control of pet habits and living conditions, leading to interference and maladjustment.
Innovation Solution
A control device integrating a primary sensor, state recognizer, behavior interferometer, and laser projector that collects and analyzes pet motion images, adjusts behavior state parameters, and uses structured light to guide pet behavior, reducing interference from external factors and enhancing training intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional pet restraint methods (locking up or foster care) are used, then pet behavior control is improved, but pet well-being and natural behavior are worsened
Solution Approach 1:
The patent replaces mechanical restraint systems (physical confinement, locks) with an optical-based training system using laser projectors and sensors. The system uses structured light projection to guide pet behavior through visual cues rather than physical confinement, substituting mechanical control with optical guidance to improve pet well-being while maintaining behavior control.
Solution Approach 2:
The patent introduces an intermediary training system consisting of laser projectors and sensors that mediate between the owner and the pet. This intermediary system captures pet behavior data, analyzes it through recognition algorithms, and provides visual guidance cues, creating a buffer that enables behavior control without direct human intervention or physical restraint.
2Adaptability or versatility
If human cognitive intervention is used to predict pet behavior, then pet training is attempted, but accuracy is reduced due to human cognitive errors
Solution Approach 1:
The patent substitutes human cognitive prediction with automated image recognition and data processing systems. Sensors capture pet behavior data, which is then processed by recognition algorithms to objectively analyze and predict pet behavior patterns, replacing subjective human judgment with precise computational analysis to eliminate cognitive errors.
Solution Approach 2:
The patent implements a feedback loop where pet behavior is continuously monitored by sensors, analyzed by recognition systems, and used to adjust training strategies in real-time. This closed-loop feedback mechanism enables continuous improvement of behavior prediction accuracy based on actual observed data rather than static human assessment.
3Extent of automation
If multiple sensors and processing units are integrated, then system intelligence and real-time performance are improved, but device complexity increases
Solution Approach 1:
The patent merges multiple functional modules (laser projector, sensors, processing units, control systems) into an integrated automated training device. By combining these components into a unified system, the patent achieves high automation and real-time performance while managing complexity through functional integration rather than separate discrete components.
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
The device accurately predicts and controls pet behavior, reducing damage to property and improving training efficiency by minimizing interference from external factors, while maintaining high integration and real-time performance.
Implementation Method 1
The laser projector is configured to move a laser beam to form a structural light spot
Implementation Method 2
The primary sensor is configured to continuously collect a preset number of frames of pet motion images
Implementation Method 3
The secondary sensor includes an infrared camera, configured to sense an additional road sign image corresponding to the home environment
Data Source
AI summary
The disclosure discloses a control device for a robot to tease a pet and a mobile robot. The primary sensor is configured to continuously collect a preset number of frames of pet motion images in each motion cycle. The state recognizer is configured to judge the matching between the pet motion images continuously collected by the primary sensor and a pre-stored digital image of pet behavior, and then parse a matching result into behavior state parameters of a pet. The behavior interferometer is configured to adjust and control a behavior state of the pet according to the behavior state parameters and an additional road sign image provided by the secondary sensor. The laser projector is configured to project a laser beam to form a structural light spot, so that the pet changes toward the behavior state adjusted by the behavior interferometer.