Visual Docking for Automatic Recharging Under Signal Interference
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Solution Overview
Problem
Self-moving apparatuses, such as cleaning robots and intelligent lawn mowers, face challenges in finding the charging base due to signal interference from environmental factors when using traditional methods like infrared, ultrasonic, or laser radar signals.
Innovation Solution
Equipping the automatic recharging device with an image acquisition component to capture images of the charging base, which features identifiable markings, allowing the device to determine its relative positional relationship and move towards the charging surface based on the image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional signal methods (infrared, ultrasonic, laser radar) are used for charging base positioning, then the positioning function can be implemented, but the positioning reliability deteriorates due to environmental signal interference
Solution Approach 1:
The patent replaces traditional signal-based positioning methods (infrared, ultrasonic, laser radar) with visual imaging technology. The imaging component captures images of the charging base, and the processor analyzes these images to determine positional relationships, substituting electromagnetic signal detection with optical imaging and image processing.
Solution Approach 2:
The patent uses visual copying of the charging base's appearance features through imaging. Instead of detecting signals emitted by the charging base, the system captures an optical copy (image) of the base and extracts positional information from visual features, making the positioning immune to signal interference.
2Measurement precision
If signal-based positioning is used, then the charging base can be located, but the positioning precision deteriorates when signals are interfered with
Solution Approach 1:
The patent replaces signal-based detection with optical imaging and image analysis. The imaging component captures visual information, and the processor extracts positional relationships from image data, achieving precise and reliable positioning independent of environmental signal interference.
3Measurement precision
If the automatic recharging device moves towards the charging base using image data, then the movement accuracy improves, but the system complexity increases due to image processing requirements
Solution Approach 1:
The imaging component serves multiple functions: it captures the charging base for positioning, provides visual feedback for navigation, and enables the device to identify and move toward the charging surface. This multi-functionality reduces the need for separate positioning and navigation systems.
Solution Approach 2:
The system uses the imaging component to automatically capture and process visual information of the charging base, enabling the device to autonomously determine its position and calculate movement direction without external intervention or complex additional subsystems.
Data Source
AI summary
Disclosed are an automatic recharging method, a device, a storage medium and a system, which belong to the field of computer technology. The method may include: starting an image acquisition component to acquire an automatic recharging image during an automatic recharging process; determining, when the automatic recharging image contains a feature identification, the relative positional relationship between a charging surface of a charging base and the automatic recharging device based on the position of the feature identification in the automatic recharging image; displaying the feature identification on the charging surface of the charging base; determining a movement direction of the automatic recharging device based on the relative positional relationship, to make the automatic recharging device move toward the charging surface of the charging base.


