Self-Moving Object Recognition With Server-Assisted Control
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Solution Overview
Problem
Existing self-moving devices face challenges in accurately recognizing their working environment due to misrecognition and recognition misses in complex real-world scenarios.
Innovation Solution
An automatic working system comprising a self-moving device and a server, where the self-moving device includes an image detection module, a first recognition module, a communication module, and a control module, and the server includes a second recognition module and a communication module, allowing for accurate environmental recognition and action control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the self-moving device uses its own recognition module to identify objects, then the response speed is fast, but the recognition accuracy is low due to misrecognition and recognition misses
Solution Approach 1:
The patent introduces a server as an intermediary between the self-moving device and the recognition process. The device captures images and sends them to the server, which performs comprehensive image analysis and returns recognition results. This mediator approach enables high accuracy through powerful server-side algorithms while maintaining acceptable response times through optimized communication and processing.
2Measurement precision
If the self-moving device sends images to the server for recognition, then the recognition accuracy is high, but the communication time and network dependency increase
Solution Approach 1:
The system performs preliminary actions by pre-processing images on the device side before transmission, and the server prepares recognition algorithms in advance. This preliminary preparation reduces the actual communication and processing time when recognition is needed, balancing accuracy requirements with time constraints.
3Reliability
If the self-moving device uses simple recognition algorithms, then the device complexity is low, but the recognition reliability is insufficient in complex environments
Solution Approach 1:
The patent segments the recognition system into two parts: a simple recognition module on the self-moving device for basic functions and low-complexity operations, and a comprehensive server-side recognition system for complex environments and high-reliability requirements. This segmentation allows the device to maintain low complexity while achieving high reliability through server support when needed.
Data Source
AI summary
A self-moving device including an image detection module, detecting an environment around the self-moving device to generate an environmental image; a first recognition module, recognizing a specific object in the image based on the environmental image to generate a first recognition signal; a first communication module, selectively sending the environmental image and/or the first recognition signal to a server and receiving a second recognition signal corresponding to the environmental image; and a control module, controlling an action of the self-moving device according to the first recognition signal and/or the second recognition signal. The techniques ensure that the self-moving device obtains an accurate recognition result in time and performs an action accordingly.