Smart Factory
Bizarim AI

We collected welding current and voltage data and analyzed how process conditions relate to weld quality.

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We built a vision inspection system for a worker-friendly pilot smart factory. It captures parts and compares their detected positions with reference data.

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A robot moves to preset inspection positions to capture images. AI detects parts, compares them with reference data, and stores the results with supporting images.

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Circuit boards are photographed under controlled lighting. The system compares them with reference images to locate visual defects.

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The system checks package seals and contents for foreign material, reads printed expiry dates, and records the inspection results.

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Cameras capture the displays of inspection equipment and meters that lack a communication interface. The system reads the numbers and saves them in the production management system.

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We researched automation that collects and classifies orders received by email and document, then connects them to production tasks and reporting.

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The system captures poultry carcasses during production, assesses quality attributes, and stores grades and statistics. Image records extend quality checks beyond sample inspections.

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We explored methods for reconstructing a 3D object from images taken at multiple viewpoints. This work began with weld inspection and informed later research into visual understanding.

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We collected and organized AI training data for applications including weld quality and robotic grasping. The work includes quality checks and preparation of training and evaluation datasets.

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We validated an analytics workflow that extracts features from equipment data and connects prediction models with explanations of their results.

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We extended inspection to large frames by aligning camera positions with reference images and checking complex structures for missing parts.

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This research reads equipment manuals and communication documents to draft connection settings and data interpretations. Settings are checked against the source documents and tested with actual data collection.

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The system reads items and specifications from development requests, drawings, and specification sheets. It drafts a bill of materials (BOM) and process information for a reviewer to check against the originals before saving.

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