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VT-S1080

PCB Inspection System

VT-S1080

Innovating manufacturing through Omron advanced inspection technology

Minimization of programming efforts by quantitative inspection and AI-assisted qualitative inspection

Quantitative inspection conforming to international standards*1

Since values conforming to the standards are directly applied as inspection criteria, there is no dependency on the skill and expertise of the programmer.
*1: IATF (ISO/TS) 16949, IPC quality standards, etc.

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Using AI technology to minimize programming and visual inspection efforts

Omron is developing a variety of reliable AI tools to address customer concerns such as defects going undetected and/or managing large amounts of machine learning data when using AI for inspection.
By controlling everything from AI image acquisition to model creation and testing, Omron provides end-to-end support to address all concerns about the introduction of AI that caters to production floor needs.

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High-precision solder shape reconstruction helps achieve zero defect products

Equipped with Omron's own MDMC (Multi Direction/Multi Color) illumination and new MPS (Micro Phase Shift) moiré technique, the system achieves highly robust*2 and reliable inspection performance. [Patented]
*2: Strong against noise that effects the judgement of inspection results such as shadows, secondary reflections, abnormal
      defect shapes and other uncertain factors.

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Example of high-precision solder shape reconstruction

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Maximizing good-quality throughput by using M2M*1 system focusing on quality

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*1: Abbreviation of machine-to-machine
      It is a mechanism to optimize the quality and equipment operation status without human intervention, made possible
      by enabling autonomous communication and exchange of information between various connected, production
      equipment.

Continuous manufacturing made possible by equipment monitoring and predictive maintenance

Equipped with Omron control hardware technology, this system allows real-time collection of information from all the IoT connected devices inside the inspection equipment. It allows the equipment status to be visualized, enabling predictive maintenance and quality traceability.

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