Industrial AI Applications

Improve quality, reduce costs and raise efficiency as factories move from digitalization to intelligence

Bring AI into Every Stage of the Factory

Unlock AI productivity for manufacturers of every size

Quality

AI-assisted quality control identifies defects accurately and consistently.

Lower Cost

Predict equipment failures to reduce unplanned downtime and repair costs.

Efficiency

Identify losses across labor, material, equipment and energy to improve utilization.

Safety

Detect and warn of workshop risks in real time.

Drawing Parameter Extraction

Turn drawings into structured data with AI

Upload a drawing and automatically extract surface roughness, dimensions and geometric tolerances into structured data ready for MES integration.

Drawing Parameter Extraction

Challenges

  • Manual entry of drawing parameters is time-consuming and error-prone
  • Surface roughness, dimensions and geometric tolerances are scattered and difficult to manage as structured data
  • Quality and process teams repeatedly transcribe data, making MES/ERP integration difficult

Core Capabilities

  • Multi-format Support: Upload PNG, PDF and other common drawing formats
  • High-accuracy Recognition: Combine OCR and drawing-understanding algorithms to consolidate scattered drawing parameters
  • Structured Output: Standardize and export data in one click to support inspection document generation and process design
  • Direct System Integration: Connect with MES/ERP and upstream and downstream systems without intermediate data files

Predictive Maintenance

AI health monitoring warns before equipment fails

Use vibration, acoustic and operating data to evaluate rotating equipment health and detect early signs of failure.

Predictive Maintenance

Challenges

  • Unexpected failures of rotating production equipment cause unplanned downtime
  • Reactive maintenance is costly, leaves spare-parts preparation passive and disrupts continuous production
  • Without supporting data, equipment health depends entirely on experience-based judgment

Core Capabilities

  • Multi-source Data Fusion: Aggregate multidimensional equipment data in real time for comprehensive condition awareness
  • Early Fault Warning: Use AI to identify abnormal equipment signals and enable proactive intervention
  • Health Assessment: Quantify equipment condition and present it visually
  • Intelligent Maintenance Planning: Generate maintenance plans from equipment conditions and optimize spare-parts management

AI Quality Inspection

Consistent AI inspection with no quality blind spots

Combine machine vision and large models to detect product and material anomalies continuously and consistently.

AI Quality Inspection

Challenges

  • Manual inspection limits efficiency and drives up labor costs in mass production
  • Human-dependent standards make missed defects and false detections difficult to avoid
  • Inspection data is difficult to retain and trace, limiting continuous quality improvement

Core Capabilities

  • Automatic Defect Recognition: Identify appearance defects, scratches, deformation and other defect types
  • Multi-product Models: Manage inspection models for multiple product lines in parallel
  • Real-time Online Inspection: Complete evaluation and sorting within production takt time
  • Data Traceability: Retain complete inspection records to support quality analysis and improvement

AI Workshop Safety

Always-on AI protection for safe production

Use machine vision and AI to monitor safety compliance, identify violations and issue immediate alerts.

AI Workshop Safety

Challenges

  • Workshop hazards rely on manual patrols with limited coverage and delayed response
  • Missing helmets, absent protective clothing and unauthorized entry are difficult to detect promptly
  • Fire prevention, electronic fencing and other safety controls lack intelligent tools and event records

Core Capabilities

  • Real-time Recognition: Detect violations within seconds and issue immediate alerts
  • Parallel Rule Monitoring: Control electronic fencing, protective clothing and fire warnings simultaneously
  • Automated Alerts: Link on-site visual and audible alarms with management-side notifications
  • Event Traceability: Preserve complete violation records to support safety reviews

Use AI to Unlock Factory Performance

Apply AI to real production challenges in focused vertical scenarios.

Deep Vertical Expertise

Avoid generic AI platforms and target core production processes with measurable outcomes and ROI

Integrated Software and Hardware

Deliver algorithms, compute, software and hardware as a ready-to-use solution that lowers integration and deployment costs

Local Deployment

Support independent edge deployment so production data stays on site and meets industrial data security and compliance requirements

End-to-End Service

Provide on-site consulting and continuous support from solution design through implementation, launch and operations

Accelerate Enterprise AI Transformation with MOREWIS