Mobile robot generating resized region of interest in image frame and using dual-bandpass filter

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Solution Overview

Problem

Conventional cleaning robots require multiple sensors for obstacle detection, positioning, and object recognition, leading to increased complexity and resource consumption.

Innovation Solution

A mobile robot utilizing a single optical sensor with different light sources (laser diodes and LEDs) to capture image frames for obstacle avoidance, VSLAM, and object recognition, reducing computation and power consumption by determining a region of interest and resizing image frames.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple sensors are used for obstacle detection, positioning, and object recognition, then detection accuracy and functionality are improved, but device complexity and resource consumption increase

Engineering Contradiction:

Improvedetection accuracyVSAvoidsensor quantity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies a single optical sensor to perform multiple detection functions including obstacle detection, positioning, and object recognition by capturing image frames under different lighting conditions (laser diode and LED illumination). This multi-functional approach eliminates the need for separate sensors for each function, reducing device complexity while maintaining comprehensive detection capabilities

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent changes the lighting parameters (using different light sources: laser diode and LED) to enable the same optical sensor to perform different detection functions. By varying the illumination conditions and processing image frames accordingly, the system achieves multiple detection functions with a single sensor, resolving the contradiction between detection accuracy and device complexity

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If multiple sensors are used for different detection functions, then functionality is improved, but power consumption increases

Engineering Contradiction:

Improvedetection functionalityVSAvoidpower consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent employs a single optical sensor to perform multiple detection functions (obstacle detection, positioning, object recognition) by capturing image frames under different lighting conditions. This approach maintains versatile detection functionality while significantly reducing power consumption compared to using multiple separate sensors, each requiring independent power supply

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges the functions of multiple sensors into a single optical sensor system. By combining obstacle detection, positioning, and object recognition capabilities in one sensor with shared processing resources, the system achieves comprehensive functionality while reducing overall power consumption through resource sharing and elimination of redundant components

Inventive Principle:

Principle #5Merging (Combining)

3Measurement precision

If the entire image frame is processed for object recognition, then recognition accuracy is improved, but computation loading increases

Engineering Contradiction:

Improverecognition accuracyVSAvoidcomputation loading

Core Design Contradiction:

Measurement precisionVSPower

Solution Approach 1:

The patent extracts and processes only the relevant portions of image frames for object recognition by determining regions of interest (ROI) based on obstacle positions detected from laser diode illumination. This extraction approach maintains recognition accuracy for relevant objects while significantly reducing computation loading by excluding irrelevant areas from processing

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies different processing quality levels to different regions of the image frame. High-resolution processing is applied only to regions containing detected obstacles or potential objects of interest, while other regions receive minimal or no processing. This local quality approach preserves recognition accuracy for critical areas while reducing overall computation loading

Inventive Principle:

Principle #3Local quality

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 solution enables efficient obstacle detection, accurate positioning, and object recognition with reduced computational and power demands, enhancing the robot's functionality while simplifying sensor requirements.

Implementation Method 1

the same optical sensor corresponding to lighting of different light sources

Methodology Applied

Scientific EffectLight reflection: Reflection

Data Source

PatentUS12566269B2Mobile robot generating resized region of interest in image frame and using dual-bandpass filter

Publication Date: 2026.03.03 PIXART IMAGING INC

AI summary

There is provided a mobile robot that performs the obstacle avoidance, positioning and object recognition according to image frames captured by the same optical sensor. The mobile robot includes an optical sensor, a light emitting diode, a laser diode and a processor. The processor identifies an obstacle and a distance thereof according to image frames captured by the optical sensor when the laser diode is emitting light. The processor further performs the positioning and object recognition according to image frames captured by the optical sensor when the light emitting diode is emitting light.