Image-Based Input for Cleaning Robot Control
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Solution Overview
Problem
Existing remote controllers for devices like cleaning robots are inefficient in specifying complex cleaning ranges, requiring users to manually operate buttons or input instructions, which can be cumbersome and error-prone.
Innovation Solution
An information processing apparatus that uses an image receiver and controller to interpret handwritten instructions on images or photographs, allowing users to specify cleaning ranges and operations by drawing trajectories or lines, enabling easier and more intuitive control of the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a dedicated remote controller with buttons is used to operate a device, then the device can be controlled through manual button operations, but the operation becomes cumbersome and error-prone when specifying complex cleaning ranges
Solution Approach 1:
The patent replaces the mechanical button-pressing system with an image-based input system. Users draw cleaning ranges on a photograph or image, and the system automatically interprets these drawings into control commands, eliminating the need for complex sequential button operations and significantly reducing time consumption.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the user and the device control. The user's hand-drawn markings on an image are processed by image recognition algorithms that convert them into precise cleaning range specifications, acting as a mediator that translates intuitive visual input into actionable control commands.
2Reliability
If manual button operations are used to specify cleaning ranges, then the device can be controlled, but the process becomes complex and error-prone
Solution Approach 1:
The patent replaces complex mechanical button sequences with a simple visual drawing interface. Users naturally draw cleaning ranges on images, and the system's image recognition technology automatically converts these drawings into precise control parameters, eliminating operation complexity while maintaining high accuracy through automated interpretation.
Solution Approach 2:
The system performs automatic interpretation and conversion of user drawings into precise cleaning specifications without requiring manual input of complex parameters. The image recognition system self-services the entire process of translating visual input into actionable commands, reducing both operational complexity and potential for human error.
Data Source
AI summary
An information processing apparatus includes a receiver that receives an image, and a controller that controls an operation of the information processing apparatus based on information written in the image received by the receiver. In a further modification of the invention, the information may define an operation related to movement.


