Optical navigation device which can detect and record abnormal region
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Solution Overview
Problem
Conventional automatic sweepers lack the ability to detect abnormal regions, such as objects under furniture or unexpected items on the floor, which can cause jamming or malfunction, requiring manual inspection and increasing the risk of damage.
Innovation Solution
An optical navigation device equipped with image sensors and a processing circuit that generates sensing images and determines abnormal regions by analyzing light scattering levels, image features, and protruding levels, allowing the device to inform users of potential hazards and avoid them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional automatic sweepers are used without abnormal region detection, then the device structure remains simple, but the reliability deteriorates due to inability to detect objects under furniture or unexpected items causing jamming or malfunction
Solution Approach 1:
The patent divides the detection task into multiple segments by using different image sensors positioned at different angles. A first image sensor detects abnormal regions at a first angle, and a second image sensor detects abnormal regions at a second angle, allowing comprehensive coverage of areas under furniture and unexpected objects without requiring a single complex sensor system
Solution Approach 2:
The patent makes the automatic sweeper multi-functional by integrating both cleaning function and abnormal region detection function into a single device. The image sensors and processing circuit are added to the existing sweeper system, enabling it to perform both cleaning and detection tasks without requiring separate dedicated systems
2Loss of time
If manual inspection methods are used to check floor conditions, then the device complexity remains low, but the loss of time increases due to user intervention requirements
Solution Approach 1:
The patent implements preliminary detection action by using image sensors to scan and identify abnormal regions before the automatic sweeper begins cleaning operations. The processing circuit analyzes images to detect objects under furniture and unexpected items in advance, allowing the system to plan its cleaning path accordingly and avoid time-consuming manual inspections
Solution Approach 2:
The patent enables the automatic sweeper to perform self-inspection by equipping it with image sensors and processing circuitry that autonomously detect abnormal regions. The system independently identifies objects under furniture and unexpected items without requiring user intervention, thereby eliminating the time loss associated with manual floor condition checking
3Measurement precision
If single-angle image sensing is used, then the device complexity is low, but the measurement precision deteriorates due to limited detection coverage of abnormal regions
Solution Approach 1:
The patent employs asymmetric sensor positioning by placing image sensors at different angles relative to the sweeper body. The first image sensor is positioned at a first angle and the second image sensor at a second angle, creating an asymmetric detection configuration that provides complementary viewing angles and improves overall detection accuracy of abnormal regions
Solution Approach 2:
The patent transitions from single-angle (one-dimensional) detection to multi-angle (two-dimensional) detection by adding image sensors at different angular positions. This dimensional expansion of the detection system allows the sweeper to capture abnormal regions from multiple perspectives, significantly improving measurement precision without excessive complexity increase
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
Enables automatic sweepers to detect and avoid abnormal regions, reducing the need for manual inspection and preventing damage from unexpected objects, thereby enhancing operational safety and efficiency.
Implementation Method 1
at least one image sensor, configured to sense at least one sensing image
Data Source
AI summary
An optical navigation device, comprising: at least one image sensor, configured to sense at least one sensing image; and a processing circuit, configured to determine at least one abnormal region in the sensing image and control the optical navigation device to inform the abnormal region exists to a user.