META-aivi
META-aivi deployments where frontline operators verify assembly steps, count stock, read gauges and inspect equipment with AI vision on smart glasses, tablets and IP cameras. Paper checklists miss skipped steps and miscounts; each entry shows the SOP mapped, device used and error reduction measured.
Product Deployments
Case Studies
AccuPick
SolVision
META-aivi
SolMotion
Plastic Production SOP Validation Using AR + AI
META-aivi AR + AI real-time SOP validation improves plastic production for a performance materials company, boosting efficiency and reducing downtime.
Automated Self-Checkout Using AI
International doughnut chain improves checkout efficiency with AI-based automated self-checkout, reducing customer wait times and enhancing store operations.
Casino Chips Counting Verification Using AI
META-aivi verification ensures 100% accuracy in casino chips counting, enhancing cash out security and efficiency in one of Asia's largest casinos.
Wind Turbine Inspection Using Drones + AI
META-aivi maximizes wind turbine inspection efficiency with AI-powered drones, mitigating human error in onshore and offshore wind farm maintenance.
Electronic Components Soldering Inspection Using AI
Explore how META-aivi optimizes electronic components inspection, using AI to increase accuracy and reduce human error in soldering inspection.
Verifying Plastic Parts for Recycling Using AI
Explore how META-aivi optimizes waste management with AI, reducing errors and avoiding contamination while enhancing the efficiency of plastic parts recycling.
Automotive Parts Quality Control Using AI
META-aivi optimizes automotive parts quality control with AI, reducing errors and digitizing the process for unparalleled product inspection efficiency.
Injection Molding Machine Monitoring Using IP Cams
META-aivi optimizes plastic injection molding with automated machine malfunction detection and monitoring to enhance efficiency, reduce downtime, and cut costs.
Gauge Meter Reading Using AR + AI
Explore META-aivi's impact on plastics manufacturing, achieving 70% faster gauge meter readings, automated data uploads, and reduced meter reading errors.
Fire Extinguisher Inspection Using AR + AI
Discover how a company improved fire extinguisher inspections by implementing META-aivi, enabling real-time issue detection, streamlining processes, and reducing inspection time by 60%.
Verifying Plastic Parts for Recycling Using AI
Explore how META-aivi optimizes waste management with AI, reducing errors and avoiding contamination while enhancing the efficiency of plastic parts recycling.
Automotive Parts Quality Control Using AI
META-aivi optimizes automotive parts quality control with AI, reducing errors and digitizing the process for unparalleled product inspection efficiency.
Injection Molding Machine Monitoring Using IP Cams
META-aivi optimizes plastic injection molding with automated machine malfunction detection and monitoring to enhance efficiency, reduce downtime, and cut costs.
Gauge Meter Reading Using AR + AI
Explore META-aivi's impact on plastics manufacturing, achieving 70% faster gauge meter readings, automated data uploads, and reduced meter reading errors.
Fire Extinguisher Inspection Using AR + AI
Discover how a company improved fire extinguisher inspections by implementing META-aivi, enabling real-time issue detection, streamlining processes, and reducing inspection time by 60%.
Electric Vehicle Assembly Verification Using AR + AI
Discover how META-aivi’s AR + AI capabilities enhanced electric vehicle assembly verification and quality control for one of the world’s leading EV manufacturers.
Intelligent Remote Facility Management
Machine vision is utilized to perform Optical Character Recognition (OCR). This information is sent to the cloud to create an inspection report, allowing plant operators to easily monitor facility inspection through mobile devices.
Loading and Unloading Tanker Trucks Safely Using AR + AI
META-aivi uses AI detection to perform a step-by-step inspection of the chemical tanker loading/unloading process to ensure the operator is following the correct procedure.
Welding Bead Defect Detection Using AR + AI
AI models can be trained and uploaded into the system for qualified welding points. This enables AI inspection of welded sections using AR glasses or a tablet device to quickly recognize defective welds.