QR Code Detection Device with Adaptive Distance Rules
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional QR code detection technologies face difficulties in detecting low-resolution images and images from far distances, leading to high power consumption and inaccurate readings.
Innovation Solution
A QR code detection device with a barcode detector and decoder that employs near-distance or far-distance detection rules based on recognized pattern features, along with a noise filtering mechanism to prevent false activations, allowing for effective detection even in low-resolution or distant scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional QR code detection device is used, then high-resolution images can be detected, but power consumption increases and detection fails on low-resolution images
Solution Approach 1:
The detection device dynamically adjusts its operating mode based on image resolution characteristics. It switches between high-resolution detection mode and low-resolution detection mode depending on whether the input image meets the threshold requirements, thereby optimizing power consumption while maintaining detection accuracy across different image qualities
Solution Approach 2:
The system changes detection parameters such as threshold values and processing algorithms based on image resolution. By adjusting these parameters dynamically, the device can effectively detect QR codes in both high-resolution and low-resolution images without excessive power consumption
2Measurement precision
If traditional QR code detection device is used, then accurate reading is achieved, but detection fails when distance from image is large
Solution Approach 1:
The device dynamically selects detection algorithms based on the captured image's resolution characteristics. When an image is captured from a distance resulting in low resolution, the system automatically switches to a detection algorithm optimized for low-resolution images, enabling successful detection across various distances
Solution Approach 2:
The system adjusts detection parameters including threshold values and processing methods based on image characteristics. This parameter adaptation allows the device to maintain reading accuracy whether the QR code is captured up close or from a distance
3Productivity
If detection sensitivity is increased, then more QR codes can be detected, but false activations increase
Solution Approach 1:
The system incorporates feedback mechanisms where detected pattern features are validated against established QR code characteristics. This feedback loop allows the device to confirm potential detections and filter out false positives, maintaining high detection rates while ensuring reliability
Solution Approach 2:
An intermediary validation process is introduced between image capture and final detection confirmation. This intermediate step analyzes detected patterns against multiple criteria before confirming a QR code detection, effectively reducing false activations while preserving true detection capability
Data Source
AI summary
Disclosed are a QR code detection device and an operation method thereof. The QR code detection device comprises a body, a barcode detector and a barcode decoder. The barcode detector captures and processes a code image outside the body, and accumulates a number of times when a predetermined pattern feature is recognized in the code image. The predetermined pattern feature is a predetermined distance ratio. The barcode detector chooses a near-distance detection rule or a far-distance detection rule according to the processed code image to determine whether the predetermined pattern feature is recognized in the QR code image. When the barcode decoder determines that the code image is a QR code image because the number of times equals to a threshold number, the barcode decoder is automatically turned on to capture and decode the QR code image outside the body.