Compal Integrates HOP and LLM to Enhance Production Line Management Efficiency
Background
Compal Electronics, a globally recognized ODM and a Fortune 500 company, has recently focused on AI while actively advancing smart factory deployments.
To further enhance AI applications, Compal’s collaborated with PowerArena, using our AI technical expertise to refine AI integration in factories. This initiative aims to strengthen deployment strategies and maintain a competitive edge in the global market.
Collaboration with PowerArena
Compal collaborates with PowerArena to enhance AI-based production line management.
Human Operation Video Data Collection
In electronics manufacturing, most production processes still rely heavily on human operators. Whether operators follow standard procedures directly impacts production efficiency and product quality.
｜However, it’s impossible for line engineers to manually capture all operator activities.
Without complete production data, managers struggle to identify issues and implement effective solutions.
PowerArena deploys cameras on the production line, 24/7 recording operations to provide a complete and continuous production history.
From Video to Data Analysis
For production line managers, the value of video data is in identifying the root causes of low quality and inefficiency. This allows them to address problems and propose solutions to optimize the production process.
PowerArena’s AI vision technology can recognize operator behaviors on the production line, analyze workstation cycle times, and automatically detect problematic processes. It converts unstructured video data collected from the production line into structured data analysis and generates comprehensive production reports for all shifts. The system records detailed information about production anomalies, including root causes, timestamps, and affected workstations, on a centralized management platform.
By tracking the production history, production line engineers can directly view footage of anomalies as they occurred, providing ample evidence for root cause identification and process optimization.。
Data-driven and visualized production information helps production line engineers improve management quality and efficiency.
LLM (Large Language Model) for Production Line Management
Traditional databases rely on structured table data and SQL queries. Errors in query statements or poor table design can lead to incorrect results.
To help managers gain more precise insights into production line data, Compal has developed its own LLM（Large Language Model). The goal is to meet internal cross-departmental needs for production data analysis through natural language interaction.
PowerArena’s HOP (Human Operation Platform) provides the necessary data foundation for Compal’s LLM.
When users want to understand the current production line status, they can issue commands in natural language. The LLM, after understanding the intent, will search the database using the appropriate query language. The LLM database, trained with comprehensive production line data, integrates all collected production information and generates a response.
Because the LLM can understand vague natural language commands, managers can more easily obtain accurate production line information from the database.
Advantages of Integrating HOP + LLM
Enhancing Database Utilization
PowerArena helps the manufacturer collect production line data and perform image data analysis.
The transparent production history not only allows production line engineers to trace back and review footage of abnormal production events but also serves as the training foundation for the LLM.
By leveraging the language comprehension capabilities of generative AI, key insights can be extracted from comprehensive production line data, enabling the database to deliver maximum value to production engineers.
Enhancing Management and Production Efficiency
Engineers no longer need to spend hours manually collecting and analyzing production data.
With automated, visualized data analysis, production insights are more intuitive, allowing engineers to quickly spot bottlenecks and make real-time adjustments. This improves efficiency and keeps production running smoothly.
At the same time, reduced downtime and wait times lower labor costs and optimize resource utilization, maximizing overall productivity.
Benefits
Complete Database Unlocks Application Possibilities
｜Objective data is the starting point for quality control and production line optimization.
PowerArena’s HOP leverages AI vision technology to record, identify, and manage operators’ production steps, providing Compal with comprehensive workforce data support.
Compal is now integrating HOP’s collected data with LLMs to enhance management efficiency. In the future, this data will enable broader production line optimization initiatives.
A comprehensive data foundation helps factories improve management efficiency. It also creates a solid basis for future production line optimization and technological innovation. This process opens more opportunities for smart manufacturing and helps businesses succeed in digital transformation.
