AI for visual quality control in the Electrical industry - from the printed circuit board to the end product.
How deep learning-based AI algorithms recognize both simple and complex errors along the entire value chain in real time and sustainably improve processes.
Optical component inspection as a competitive advantage - quality with decisive precision.
In modern manufacturing processes for electronic components, even the smallest errors can have serious consequences: incorrectly assembled PCBs, damaged cables, short circuits due to tin bridges or a lack of traceability. The consequences range from high costs due to faulty production, pseudo rejects and rework to complaints that jeopardize image and customer loyalty. In addition, increasing complexity due to miniaturization, short development cycles, strict standard requirements and enormous cost pressure mean that the use of new AOI processes and technologies is becoming increasingly important in the manufacturing industry.
Fully automated solder joint and component inspection
End-to-end AI-supported quality assurance reliably inspects and classifies faults such as broken traces, solder bridges, faulty cleaning or incorrectly inserted components. Standardized processes, digital traceability and stable process parameters ensure production as well as compliance with international standards.
36ZERO Vision uses deep learning for automatic, visual inspection and can be used across all industries - whether in power storage units and batteries, cable harnesses, connectors, switches or printed circuit boards. The following applies in all applications: early fault detection protects against expensive complaints, secures competitive advantages and creates the freedom to focus on the essentials again - innovation and growth.
The cloud platform is used to develop AI models individually for each application. Each model is initially trained with known defect types and can be continuously improved through interaction with employees. In this way, it adapts flexibly to new product variants, applications and production conditions and standardizes quality decisions worldwide.
2D images from industrial cameras are analyzed autonomously, on-premise and in real time using the trained models, different defect patterns are detected and products are objectively evaluated in automated inspection procedures. Electronic components can be inspected without delay - faster and more precisely than manual inspections or classic AOI systems such as anomaly detection, which declare any deviation as a fault.
The added value for manufacturers of electronic components is cost-effective 100% inspection and therefore fewer rejects, lower warranty and repair costs and a stronger market position thanks to demonstrably high quality.
Typical types of errors in
Electrical industry:
1. mechanical faults
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Incorrect fitting: Components upside down or in the wrong place on the circuit board.
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Damage: Conductor tracks scratched, components bent or broken during handling.
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Assembly error: Housing screwed on incorrectly, missing seals, cables not fixed properly.
2. processing errors
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Short circuits: Due to tin bridges, incorrectly soldered wires or defective insulation.
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Interruptions: Conductor breakage, spatter, solder ball formation, solder bridges, insufficient wetting or missing connections.
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Incorrect component values: Resistors, capacitors or ICs with incorrect specifications are used.
3. process errors
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Painting defects and coating defects: Orange peel skin, runners, ingrown skin, spots, flaking or blisters.
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Incorrect process parameters and worn tools: Burrs, grooves, unclean edges, burn marks, discoloration, roughening of material.
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Insufficient cleaning: Corrosion due to flux or chemical residues.
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Lack of traceability: Batches of components not documented.
Challenges of optical component testing
Product & process complexity
Standards & certifications
Defect detection
Cost & time pressure
Digitization & data management
Added value
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Cost reduction - Fewer rejects and less rework, as well as lower warranty and repair costs.
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Higher product quality & reliability - Competitive advantage through better product performance.
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Increased productivity through maximum accuracy - Faster throughput times and less downtime in production.
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Fulfillment of quality requirements (e.g. ISO 9001, IATF 16949) - Stronger market position and customer loyalty.
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Better process stability & transparency - Standardized quality controls and improved traceability in the event of complaints.
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Long-term innovation capability - Effective resource management for more development & innovation.
Applications
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1 // Power storage and batteries:
Inspection of housing deformation, leakage, contact corrosion, cracks and dents. -
2 // Electric motors:
Detection of crooked or loosely inserted components, resin protrusions, damaged insulating foils, protruding or loose wires and damaged sheet edges. -
3 // Cable assembly and cable harnesses:
Detection of incorrect windings, insulation damage, assemblies, loose or missing cable ties. -
4 // Plugs and connectors:
Analysis of bent pins, fine cracks, missing contacts, soiling or incorrect coding. -
5 // SMD test:
Visual inspection of contact erosion, faulty labeling or assembly errors. -
6 // Resistors and capacitors:
Detection of incorrect values (e.g. color rings, imprint), cracks or incorrect polarity. -
7 // Printed circuit boards (PCBs):
Inspection of solder joints, missing components, hairline cracks, coatings, pads and contamination.