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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Modern composite materials, automotive paints, varnishes, and coatings are subjected to scratch testing to gain insight into the materials and assess their resistance to abrasion and wear.
As a quick and easy way to evaluate coating adherence, the scratch test was created. It can be used to test a variety of coatings, from organic coatings like paint to wear-resistant coatings on cutting instruments.
With the Rtec scratch testers, you may examine a variety of attributes at the nano, micro, and macro scales, including coating adherence, scratch hardness, and scratch resistance. It is possible to assess a coating's resistance to wear and abrasion, such as paint and varnish.
The Global Scratch inspection device market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Utilising EVT, detect scratches with machine learning Scratches on metal surfaces can now be found during inspection procedures thanks to Eye Vision Technology's new machine learning tool.
A basic camera set-up with a dome light is sufficient to find scratches, depending on the surface. The EyeMulti-Inspect equipment, which comes equipped with a computer, camera, lens, and lighting, can also be used.
The EyeMulti-Inspect is appropriate for challenging conditions like a conveyor belt. All that is required is to put the sensor over the conveyor belt, connect the incremental encoder, and choose the software's discharge chutes. Inspection is entirely completed using the graphical user interface when using the EyeVision Software (GUI).
In this user interface, a command can be used to activate and modify the Machine Learning Tool. The challenging, non-solid component parts, such as rubber parts, can also be illuminated using the independently programmable, integrated illumination systems.
The analysis can then begin when the Machine Learning Tool has found any scratches or cracks. The adaptable software makes it simple to put the optimal camera resolutions for mistake detection into practice. Different protocols make integration easier in new or existing plants.
As standard interfaces, Profinet, Modbus, or TwinCat are offered here. Additionally, the software supports any TCP/IP- or UDP-based protocol.
Users can modify the product for a variety of applications thanks to an expanded toolset for the illumination and lens components.There are numerous focal lengths and illumination options, including dome light, rear light, etc., available.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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