What is Multimodal AI?
Multimodal AI is an AI technology that simultaneously understands and analyzes multiple types of data including text, images, audio, and sensor data.
Unimodal vs. Multimodal
Manufacturing and Logistics Applications
Intelligent Quality Inspection
Simultaneously analyzes camera images and sensor data to accurately diagnose the cause of defects. Internal defects that are difficult to identify through images alone can be detected when combined with sensor data.
Equipment Anomaly Diagnosis
Comprehensively analyzes vibration/temperature sensor data, equipment exterior images, and work log text to diagnose anomaly causes.
Logistics Document Processing
Integrates shipping label image OCR, barcode, and text information for automated verification.
Technology Trends
The advancement of vision-language models such as GPT-4V and Gemini is rapidly expanding the scope of multimodal AI applications.
Conclusion
Multimodal AI is the next-generation AI technology for solving complex real-world problems. Leverage multimodal AI with POLYGLOTSOFT's AI platform.