With multi-component assembly inspection AI, every unit comes out right the first time. Jidoka’s Kompass and Nagare maximize productivity, speed up production, and reduce defects by up to 60%.
Our AI systems monitor assembly in real-time. Nagare™ guides operators to get each step right the first time, while Kompass™ inspects assembled products for defects to ensure quality.
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Discover how industry leaders are perfecting complex assemblies with Jidoka's AI vision systems.
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Engine Tappet inspection with AI vision and HURON hardware
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High-speed biscuit inspection with automated quality control:
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Labelled bottle inspection with AI vision system and modular hardware:
Multi-component assembly inspection AI is an advanced vision system powered by deep learning that verifies whether all the individual parts in a complex product are present, correctly positioned, and properly assembled.
AI transforms the assembly inspection from a reactive, error-prone process into a proactive error prevention system. Here’s how:
- AI-powered inspection adapts to product variations and catches even subtle defects with precision.
- AI provides instant feedback during the process, preventing costly rework.
- Advanced machine vision models not only identify a defect but also locate it precisely, outlining its shape and size.
- A digital audit trail is created where every assembly step, defect detection, and correction is logged automatically.
Automotive, aerospace, electronics, heavy machinery, and medical device manufacturing, any sector where complex assemblies demand zero-defect quality and regulatory compliance.
Deep learning is a subset of machine learning that allows models to learn directly from thousands of product images and continuously detect missing, misaligned, or defective components in real time. A deep learning model adapts to changing shapes, sizes, and textures, to avoid over-flagging acceptable variations.
Mask R-CNN, or Mask Region-Based Convolutional Neural Network, is a deep learning architecture widely used for object detection and instance segmentation. In defect detection, along with identifying whether a defect exists, it also pinpoints where the defect is and outlines its exact shape.
Multi-part reliability testing ensures that every component in an assembly not only works individually but also performs seamlessly as part of the whole system. With AI-powered inspection systems, manufacturers can analyze thousands of data points in real time and predict potential points of failure before they occur.
Yes. Both Kompass and Nagare are designed for seamless integration with common manufacturing execution (MES), enterprise resource planning (ERP), and quality management systems.
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