Manual visual inspection takes time. It is prone to errors. And it does not scale.
\nWith its new AI-powered camera solution, redi-Group offers an industrial visual inspection system that can be set up within a very short time and delivers fully reproducible results.
\nThe goal is clear: detect defects before they cause costs \u2014 with full traceable documentation.<\/p>\n
In real production environments, we repeatedly see the same weak points:<\/p>\n
Our solution addresses these issues directly.<\/p>\n
Setup with Minimal Effort<\/strong><\/p>\n Just 20 OK reference parts are sufficient to train the system. After training, the camera reliably detects defined defect patterns \u2014 in a single inspection cycle.<\/p>\n Multiple Defect Patterns per Sequence<\/strong><\/p>\n Through sequential inspections, additional defect patterns can be captured after repositioning the component. This makes it possible to structure and handle complex inspection requirements efficiently.<\/p>\n Manual or Automated Feeding<\/strong><\/p>\n The camera solution is suitable for both: manual workstations as well as fully automated production lines. This ensures maximum flexibility \u2014 from individual inspection stations to high-volume series production.<\/p>\n Once configured successfully, the system fully recognizes the trained defect patterns. Especially relevant for quality managers and operations leaders:<\/p>\n Every inspected component is documented. In case of complaints or warranty cases, the inspection history is fully traceable.<\/p>\n The economic impact is clearly quantifiable:<\/p>\n Where visual inspection is currently operator-dependent, the camera system creates a standardized and scalable process.<\/p>\n We deliberately set a clear expectation framework.<\/p>\n Application Range<\/p>\n The range of inspectable components extends from printed circuit boards to tailgates and engine hoods. This makes the solution suitable for a wide range of industries \u2014 from automotive environments to technical series manufacturing.<\/p>\n Limitation<\/p>\n Defects on highly painted, mirror-like surfaces cannot be detected reliably with this technology. In such cases, we evaluate the feasibility together with you in advance.<\/p>\n Typical Application Areas<\/strong><\/p>\n The solution creates transparency and process reliability, particularly in the case of increased quality requirements or recurring customer complaints.<\/p>\n We do not deliver a standard off-the-shelf camera system.<\/p>\n We integrate an application-oriented testing solution into your existing process.<\/p>\n This means:<\/p>\n As a technical service provider in the quality environment, we are familiar with the requirements of production, auditing and customer complaints. Our approach is practical and economically assessed.<\/p>\n It is not recommended for use on highly reflective, high-gloss surfaces without a definable structure.<\/p>\n The AI-supported camera inspection does not replace process stability.<\/p>\n However, it makes quality measurable, traceable and reproducible.<\/p>\n <\/p>\n If you want to know whether your components and your process are suitable for use, let us evaluate this in a structured manner.<\/p>\nWhat Improves in Production?<\/strong><\/h3>\n
\nIn practical terms, this results in:<\/p>\n\n
Measurable Value for Your Company<\/strong><\/h3>\n
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Technical Framework \u2013 Realistic Expectations<\/strong><\/h3>\n
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Why via the redi-Group?<\/strong><\/h3>\n
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For whom is the solution useful?<\/h3>\n
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Conclusion<\/strong><\/h3>\n
Check potential now – in direct exchange<\/strong><\/h3>\n