Autonomous Vacuum Surface-Type Detection for Real-Time User Feedback
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Solution Overview
Problem
Conventional autonomous floor cleaning systems lack the ability to provide detailed information about the environment's surface types, patterns, and obstacles to users, limiting their understanding of the cleaning process and effectiveness.
Innovation Solution
An autonomous vacuum equipped with sensors to detect surface types and generate real-time user interfaces that depict the surface being traversed, allowing users to visualize and understand the cleaning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional autonomous floor cleaning systems use basic user interfaces, then the device complexity is low, but the information provided to users about surface types and cleaning effectiveness is insufficient
Solution Approach 1:
The system creates a visual copy or representation of the actual floor surface by capturing images with sensors and displaying them in the user interface. This allows users to see the actual surface type (carpet, hardwood, tile, etc.) without adding complex hardware, merely by processing and displaying visual data from existing sensors.
Solution Approach 2:
The processor acts as an intermediary between the sensor data and the user interface, analyzing sensor inputs to determine surface types and then presenting this information through the display. This mediator approach allows complex information processing without requiring complex user interface elements.
2Reliability
If the autonomous vacuum provides detailed real-time information about surface types and cleaning processes, then user understanding improves, but the processing requirements and system complexity increase
Solution Approach 1:
The sensor system serves multiple functions: it captures data for navigation, identifies surface types, monitors cleaning effectiveness, and provides visual feedback to users. By making the sensors multi-functional, the system achieves reliable cleaning monitoring without adding dedicated complex hardware for each function.
Solution Approach 2:
The autonomous vacuum uses its own sensor data to monitor and report on its cleaning performance. The system self-detects surface types and self-evaluates cleaning effectiveness by comparing before-and-after sensor readings, eliminating the need for external monitoring equipment.
Data Source
AI summary
Systems and methods for navigating an autonomous vacuum are disclosed. According to one method, the autonomous vacuum traverses a cleaning environment having a plurality of surfaces. As the autonomous vacuum is traversing the cleaning environment, sensors on the autonomous vacuum capture sensor data describing a first section of a surface on which the autonomous vacuum is currently traversing. Based on the received sensor data, the autonomous vacuum can determine that the first section is of a first surface type of a plurality of surface types. The autonomous vacuum can generate a user interface with a background displaying the determined first surface type to notify the user of where the autonomous vacuum is cleaning.