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» TEST & QUALITY ASSURANCEAI-powered inspection that thinks aheadMeeting the demands of tomorrow’smanufacturingAs electronic components become increasingly compact and complex, inspectionsystems need to do more than just to keep up, they need to stay ahead.Traditional quality control is still essential, but it is no longer enough on its own.That is where vAI, Viscom’s in-house developed AI portfolio, comes in.Viscom’s AI solution ”Void Detection“: Left input image – right output imageBuilt on a solid foundation of high-resolutionimage processing, advanced 3D measurement,and industry proven algorithms, vAl solutions enhanceautomation, tackle complex tasks, and deliverresults faster, without sacrificing transparency orcontrol.Source: ViscomvAI is more than just AI. It is about equippingmanufacturers with the capabilities to meet today’sproduction demands and be ready for the future. Viscomdelivers a powerful, purpose-built AI solutionsportfolio designed for modern electronics manufacturing.AI-based verification: Advancingquality assuranceDistinguishing between acceptable and defectivecomponents often comes down to subtle visual cuesthat even experienced operators may overlook. Viscom’sAI-based verification addresses this challengeby integrating deep learning into the verificationprocess.Working in line with the four-eyes principle, thesystem cross-checks its classification with that ofthe human operator. If a discrepancy is detected, theoperator is prompted to confirm or correct the decision.The AI currently supports classification in definedareas and reduces manual effort by leveragingThe company‘s AI solution ”Bond Wire Detection“: Left input image – right output imageSource: Viscom44 EPP Europe » 05 | 2025
Source: ViscomTo manage the entire AI workflow, Viscom offers the vAl Hub – a unified, cloud-based platform accessible via vConnect interfaceuser feedback, which Viscom tracks and evaluates.Improvements to the AI are made during their dedicated“Reclassify” step, where unclear cases are reviewedand reassessed in bundles.Unlike basic automation, this AI technologymimics human-like reasoning, interpretating visualdata in a broader context. Yet, traditional inspectionalgorithms and measurement techniques still play avital role and work seamlessly alongside AI componentsfor optimal results.By minimizing human error, vAl-based verificationenhances quality, reduces costs, and cuts down onwaste, supporting a more streamlined and sustainableproduction process.Why AI-based verification stands outThe company enhances customer-specific AI modelsby training them primarily on customer data, whichis supplemented with a large pool of annotated imagesfrom real-world electronics production. This approachensures sufficient defect coverage whileadapting to the specific characteristics of each application.Every AI model is delivered with a vAl Quality Report:A detailed statistical overview showing expectedworkload reduction, accuracy metrics, and insightsinto potential optimization areas. This transparencybuilds trust and ensures complete processoversight.A standout example of this innovation in action isViscom’s collaboration with TE Connectivity, where agroundbreaking AI solution for solder joint inspectionwas developed and successfully implemented ina demanding production environment.Vice President of the Business Unit AutomotiveGlobal of TE Connectivity, Josef Sinder, explains: “Wesaw with this specific soldering process applicationthat we were reaching the limits of conventionalcamera technology, which also led to increased manualrework. That’s why we considered using AI in thisarea.”The need for an integrated solution was clear.Sinder adds: “Of course, we looked at and evaluatedseveral providers in the market, but it quickly becameclear to us that we needed an integrated solution.Since we were already using systems from Viscom, itwas naturally a very obvious choice.”AI-supported image processing:Enhanced feature recognitionTraditional algorithms can struggle in challengingscenarios, like detecting voids in thermal connectionsor tracking wire bond paths, especially whendealing with noisy or distorted images. This is wherethe AI-supported image processing excels.The AI-assisted segmentation tools, especially inX-ray imaging, can isolate voids and critical structureswith remarkable accuracy, even when shadowsor overlapping components complicate the view.These models are trained in advance using labeleddata and deliver stable, repeatable results.The company’s vAI HubSource: ViscomEPP Europe » 05 | 2025 45
