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LED-B Gun
Mobile measurement:
Special applications: powder, wet paint and specialist coatings
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LED-R Gun
Mobile measurement:
Special applications: powder, wet paint and specialist coatings
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Laser Pen
Mobile measurement:
Small test patches / edges for powder and liquid paint
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LED-B Cube
Industrial automated measurement:
Special applications: powder, wet paint and specialist coatings
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LED-R Cube
Industrial automated measurement:
Special applications: powder, wet paint and specialist coatings
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Laser
Industrial automated measurement:
Small test patches / edges for powder and liquid paint
Profit Tool
How Much Could You Save in Your Coating Process?
Powder consumption, rework, scrap, oven usage, and quality issues often create costs that remain hidden in day-to-day production. Using your relevant process data, our profitability analysis helps you identify where costs can be reduced and valuable production capacity can be recovered. You will immediately receive:
- an initial estimate of your savings potential
- a visual overview of your main cost drivers
- a breakdown by material, capacity, and quality risks
Simply select the areas relevant to your process and enter the corresponding figures. Your initial analysis will be displayed immediately—before you provide any contact details.
From Initial Estimate to Detailed Analysis
The initial analysis highlights the areas with the greatest economic potential. For a more accurate assessment tailored to your specific process, you can request a detailed analysis. Once you submit your contact details, a member of our sales team will contact you, review the information with you, and provide a refined analysis of your savings potential.
After you submit your contact information, our sales team will get in touch with you, review the details with you, and send you a more detailed analysis of your potential savings.
Request Detailed Analysis
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Defect Detection Through the Integration and Validation of AI-Based Multisensor Systems in Battery Cell Manufacturing
The goal of the project is to develop an innovative, AI-based thermographic-optical multisensor system for the reliable detection of surface and volumetric defects in the production of electrodes for lithium-ion batteries. Through the intelligent combination of active thermography and optical imaging, defects are to be identified early, precisely, and in real time.
Both physical and digitally synthesized defect samples are being developed and used to ensure robust validation of the system. For the first time, the methodology outlined in VDA Volume 5.3 is being applied to validate an AI-based multimodal imaging system in the electrode manufacturing of lithium-ion batteries. This sets a new standard for the validation of intelligent quality assurance systems in battery cell production.
OptiSense is contributing its many years of expertise in the field of active thermography to the project. The focus is not only on determining coating thickness, but also on developing a high-performance thermographic imaging system for real-time defect detection and analysis throughout the entire manufacturing process.
The intelligent integration of active thermography with optical inspection methods and AI-supported real-time analysis enables comprehensive process monitoring. This allows even hidden material and manufacturing defects to be detected early on, production processes to be optimized in a targeted manner, and the quality and efficiency of battery cell manufacturing to be sustainably improved—far beyond the capabilities of simple coating thickness measurement.
Project Overview
- Project Management Agency: Projektträger Jülich (PtJ)
- Funding Agency: Industrie.IN.NRW
- Grant Number: EFRE-20801409
- Duration: 01.01.2026 – 31.12.2028