Smart Garbage Container Prompt System for Mold and Odor Detection
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Solution Overview
Problem
The accumulation of garbage in containers leads to mold and odor growth, posing health risks and environmental pollution due to prolonged decomposition, with existing methods lacking effective solutions for timely removal.
Innovation Solution
A method and device that acquire garbage information and decaying benchmark data to determine the presence of mold or odor, prompting users to remove contents from the container through various data acquisition methods, including barcode scanning, camera identification, spectroscopic analysis, and smell sensors, and sending alerts via mobile devices or smart garbage containers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If garbage is kept in a container for an extended period, then the convenience of waste disposal is improved, but mold and odor grow due to decomposition, affecting health and environment
Solution Approach 1:
The system performs preliminary detection of garbage decomposition status using sensors (smell, temperature, humidity) and compares against benchmark data to identify mold/odor conditions before they become severe, prompting users to remove garbage proactively. This prevents the worsening of harmful factors while maintaining extended storage capability.
Solution Approach 2:
The system continuously monitors garbage container conditions and provides feedback to users through prompts when decomposition indicators exceed thresholds. This closed-loop feedback mechanism enables users to adjust their disposal behavior in real-time, balancing storage duration with prevention of mold and odor growth.
2Measurement precision
If multiple detection methods are used to identify garbage type, then the accuracy of determining mold or odor is improved, but the device complexity increases
Solution Approach 1:
The system implements a hierarchical detection approach where basic smell and temperature sensors are used for all garbage types, with optional barcode scanning or camera identification activated only when needed for ambiguous cases. This partial application of multiple detection methods maintains high accuracy while controlling overall system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively reduces health hazards and environmental pollution by prompting timely removal of garbage, improving user experience by minimizing false alarms and ensuring prompt action, while also incorporating smart device controls for handling forgotten garbage.
Implementation Method 1
acquiring garbage smell information of the contents in the garbage container via a smell sensor
Implementation Method 2
acquiring garbage image information of the contents in the garbage container via a camera
Implementation Method 3
acquiring the garbage type by performing a spectroscopic analysis on composition of the contents
Data Source
AI summary
Aspects of the disclosure provide a method for presenting prompt information that recommends removing contents from a garbage container. The method includes acquiring garbage information and garbage decaying benchmark information of the contents in the garbage container; determining whether the contents in the garbage container have mold or odor based on the garbage information and the garbage decaying benchmark information; and presenting the prompt information that recommends removing the contents from the garbage container when it is determined that the contents in the garbage container have mold or odor.