Smart Cleaner Navigation Using Camera-Guided Target Mapping
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Solution Overview
Problem
Current smart cleaners require manual operation or remote control input to move to target areas, consuming user physical strength and energy, leading to poor user experience due to slow movement and inefficiency.
Innovation Solution
Equipping a smart cleaner with a camera in the remote controller to photograph target areas and a body that scans the scene to establish a map using reference substances, allowing the cleaner to autonomously move to target areas based on the map for efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation or remote control input is used to move the smart cleaner to target areas, then the cleaner can reach the target area, but it consumes user physical strength and energy, and the movement is slow
Solution Approach 1:
The smart cleaner autonomously navigates to target areas using its own sensors and processing unit, eliminating the need for manual operation. The cleaning device independently identifies target areas through the camera, processes the images, and autonomously moves to the photographed locations, making the system self-sufficient and removing the burden of user physical operation.
Solution Approach 2:
The patent replaces manual mechanical control with an automated vision-based navigation system. The processing unit uses image processing algorithms to analyze camera images, identify target areas, and automatically control the moving mechanism, substituting the mechanical remote control operation with an intelligent automated system that improves both ease of operation and movement efficiency.
2Ease of operation
If manual operation or remote control input is used to move the smart cleaner to target areas, then the cleaner can reach the target area, but the operation process is slow and inefficient
Solution Approach 1:
The system performs preliminary actions by capturing images of target areas in advance using the camera, storing them for later recognition. When cleaning is needed, the processing unit quickly matches the stored images with current sensor data to identify and navigate to the target area, eliminating the need for real-time manual control and significantly reducing the time required to reach target areas.
Solution Approach 2:
The smart cleaner employs a feedback mechanism where the camera continuously captures images of the environment, the processing unit analyzes these images to identify target areas, and the moving mechanism adjusts its path based on this visual feedback. This closed-loop system enables efficient autonomous navigation to target areas without manual intervention, improving operational efficiency and reducing time loss.
Data Source
AI summary
The present disclosure provides a smart cleaner, which includes: a remote controller provided with a camera, in which the camera is configured to photograph an image of a target area in a scene; and a body configured to scan the scene, to establish a map of the scene according to a predetermined reference substance, to identify a location of the image in the map after receiving the image sent by the remote controller, and to move to the target area according to the location of the image in the map for performing an operation.