Thermal Printer Feedback Control for Adaptive Thermal History Tables
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Thermal control in thermal printers is often inadequate due to mismatches between predetermined thermal history tables and actual usage conditions, particularly influenced by paper type and environmental factors.
Innovation Solution
An image processing apparatus and method that includes a reading unit, detection unit, and processing unit to read, detect, and generate a customized thermal history table based on actual usage conditions, optimizing thermal control in thermal printers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a predetermined thermal history table is used for thermal control, then thermal control can be performed based on previous energization conditions, but the thermal control becomes inappropriate when actual usage conditions differ from the predetermined conditions
Solution Approach 1:
The patent implements dynamic thermal control by continuously updating the thermal history table based on actual printing conditions and results. Instead of using a fixed predetermined table, the system adapts the thermal history data in real-time according to the specific paper type, environmental conditions, and printing outcomes, making the thermal control both reliable and adaptable to varying usage conditions
Solution Approach 2:
The patent employs feedback mechanisms where the actual printing results are detected and used to adjust subsequent thermal control parameters. The system monitors print quality and uses this feedback to modify the thermal history table, ensuring that thermal control remains accurate across different paper types and usage scenarios while adapting to actual conditions
2Device complexity
If a fixed thermal history table is used, then the device complexity is reduced, but the manufacturing precision deteriorates when actual conditions vary
Solution Approach 1:
The patent enables the thermal control system to self-adjust and self-optimize by automatically updating the thermal history table based on actual printing conditions and results. The system performs self-diagnosis and self-correction without requiring complex external calibration equipment or manual intervention, maintaining simplicity while improving printing precision through adaptive learning
Data Source
AI summary
According to one embodiment, an image processing apparatus includes a reading unit, a detection unit, a determination unit, and a processing unit. The reading unit reads an image printed based on predetermined test image data by a thermal printer that performs thermal control according to a thermal history table. The detection unit detects a difference between the image read by the reading unit and a test image represented by the test image data. The determination unit determines a thermal history table for compensating for the difference detected by the detection unit. The processing unit performs a predetermined process for setting the thermal history table determined by the determination unit in the thermal printer.


