Wearable Multi-Sensor Article Detection for Accurate Proximity Alerts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems are limited in their ability to accurately detect and inform individuals about the presence of articles they wish to avoid, such as food products or medications, due to the type and number of technologies used and the reliance on insufficient information sources.
Innovation Solution
A wearable device equipped with sensors and processors that detect characteristic information from multiple sources, compare it with predefined information, and generate alarms based on matches or mismatches, using technologies like RFID, QR codes, and visual recognition to ensure accurate detection and notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current systems use limited types and numbers of technologies to detect articles, then device complexity is reduced, but measurement precision and reliability of article detection deteriorate
Solution Approach 1:
The system divides the detection task into multiple independent sensor modules, each responsible for detecting specific characteristics (RFID for identification, visual sensors for appearance, proximity sensors for distance). This segmentation allows the system to achieve high measurement precision through specialized sensors while managing complexity through modular architecture.
Solution Approach 2:
The wearable device integrates multiple sensor types (RFID readers, visual sensors, proximity sensors) into a single multi-functional system that can detect various article characteristics simultaneously. This universal approach improves detection accuracy by combining complementary sensing capabilities without requiring separate dedicated devices.
2Reliability
If current systems rely on insufficient information sources, then device complexity is reduced, but reliability of information about articles deteriorates
Solution Approach 1:
The system assigns specific sensors to detect specific local characteristics of articles (RFID for unique identification, visual sensors for appearance recognition, proximity sensors for spatial information). Each sensor type provides high-reliability information about particular aspects, and the processor integrates these specialized local measurements to achieve comprehensive reliable article detection.
Solution Approach 2:
The processor continuously receives information from multiple sensors, compares the data, and provides feedback to determine article presence and characteristics. This feedback loop ensures reliability by cross-validating information from different sources and updating the system's understanding of the article based on consistent multi-sensor input.
3Measurement precision
If the wearable device uses multiple sensors to detect characteristic information, then measurement precision improves, but use of energy increases
Solution Approach 1:
The system employs periodic sampling of sensor data rather than continuous monitoring. The processor activates sensors at intervals to detect articles, processes the information, and only maintains continuous monitoring when articles are detected in the vicinity. This periodic action maintains measurement precision for characteristic detection while significantly reducing overall energy consumption compared to continuous operation.
Solution Approach 2:
The system activates multiple sensors selectively based on the detection task requirements rather than operating all sensors simultaneously. When article detection is needed, the processor enables relevant sensors (RFID, visual, proximity) in a coordinated manner, using partial sensor action to achieve sufficient measurement precision while minimizing energy consumption compared to full sensor operation.
Data Source
AI summary
A condition-responsive wearable device for sensing and indicating proximity of an article with a specific characteristic includes a processor and a sensor. The sensor is configured to detect an article with two or more information sources within a predetermined distance of the sensor. The information sources contain characteristic information of the article. The wearable device also includes a memory storing instructions that, when executed by the processor, cause the processor to receive predefined characteristic information, select detected characteristic information from at least two of the information sources to compare with the predefined characteristic information, and compare the selected detected characteristic information with the predefined characteristic information. The wearable device includes an indicator configured to generate an alarm in response to detecting a match between the selected detected characteristic information and the predefined characteristic information.