Danh mục sản phẩm
MICRO.SPECTOR
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MÔ TẢ SẢN PHẨM
HIGH-SPEED INLINE TEST
of microstructured components
Our MICRO.SPECTOR enables fully automated testing of microstructured components and products for defects, shape deviations and dimensional accuracy.
Bad parts are automatically recognized and can thus be ejected from the production process. The MICRO.SPECTOR has a modular structure and can be used as a stand-alone system or as a fully automated solution in production.
With barcode tracking, FFU, lifting door, auto-loading, cleaning and many other modules, we can adapt the system exactly to your needs. Depending on the configuration, we work with pixel resolutions from 0.48 µm. Cycle times in the production cycle are achieved through fast data acquisition and processing. With our MICRO.SPECTOR, you can inspect larger quantities reliably and quickly – simply impossible by hand.
QC solutions
Our MICRO.SPECTOR is designed for direct integration into your production chain. From barcode tracking, change log, audit trail and user management to direct connection to your control level, we offer all the tools you need to make your QC more efficient and reliable.
Check microscopically & keep track
Our MICRO.SPECTOR systems are equipped with high-resolution vision systems to find microscopic defects and check dimensional accuracy. The system recognizes bad parts using fully automated test recipes based on your tolerances and threshold values and can eject them directly. We have designed our software in such a way that the essential KPIs and information are directly visible. This means you always have an overview of the performance of your production.
Detect defects
The MICRO.SPECTOR specializes in processing large amounts of data. We have designed our software in such a way that even with higher resolutions, where more than 40,000,000,000 pixels can quickly occur, our systems do not collapse. Depending on the application, we rely on classic image processing or machine learning for defect detection. For time-critical applications, we rely on highly efficient algorithms to carry out the QC in the production cycle.
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