A04AI & data

Manufacturing AI and smart factory solution design

A manufacturing AI solution structure connecting factory knowledge, equipment condition, and quality management. Knowledge assistance and machine-learning analysis are organized around distinct operational needs.

Project scope: Solution design
Technology & disciplines: Machine learning · LLM · RAG · MLOps · Computer vision · Sensor analysis

Explore the features

Manufacturing AI and smart factory solution design — A04 / PROJECT COVERSolution design

01 OVERVIEW

The challenge and approach

The design translates experienced workers’ knowledge and sensor or video inputs into practical modules for training, safety, anomaly detection, and process analysis. Adoption planning includes sensors, initial training, staff collaboration, and further learning as internal data accumulates.

Original project visuals are presented in Korean, with English explanations alongside them.

02 FEATURES

The features, in context

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Factory knowledge assistance

Define question-and-answer workflows that help production and office teams find and verify factory information and documentation.

Factory knowledge assistance — Define question-and-answer workflows that help production and office teams find and verify factory information and documentation. — Factory knowledge assistanceView full-size image (new tab)

02 / 05

Experienced-worker knowledge transfer

Structure practical know-how alongside manuals and design learning paths for employees getting familiar with site operations.

Experienced-worker knowledge transfer — Structure practical know-how alongside manuals and design learning paths for employees getting familiar with site operations. — Experienced-worker knowledge transferView full-size image (new tab)

03 / 05

Vision-based safety management

Connect visual recognition of helmets, people, and working conditions with alerts, records, and safety-review workflows.

Vision-based safety management — Connect visual recognition of helmets, people, and working conditions with alerts, records, and safety-review workflows. — Vision-based safety managementView full-size image (new tab)

04 / 05

Equipment anomaly analysis

Use vibration, temperature, and current measurements in a detection design that gives maintenance staff early signals to review.

Equipment anomaly analysis — Use vibration, temperature, and current measurements in a detection design that gives maintenance staff early signals to review. — Equipment anomaly analysisView full-size image (new tab)

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Quality analysis and continued improvement

Connect visual inspection and process variables to quality review, then plan additional training and module expansion using accumulated company data.

Quality analysis and continued improvement — Connect visual inspection and process variables to quality review, then plan additional training and module expansion using accumulated company data. — Quality analysis and continued improvementView full-size image (new tab)

03 SCREENS & DESIGN

How the design comes together

Explore the project’s information structure, interface composition, and design decisions

Project detail board — Manufacturing AI and smart factory solution design — Project detail boardView full-size image (new tab)

04 WORKFLOW

Following the user’s next step

The flow connects entry points, user roles, and the next step in the work

Project workflow — Manufacturing AI and smart factory solution design — Project workflowView full-size image (new tab)