Innoblock launches AI smart factory for intelligent paving block manufacturing
Translated from Korean, summarized and contextualized by DistantNews.
At a glance
- Innoblock is implementing an AI-driven smart factory to improve the manufacturing of paving blocks.
- The system integrates AI and data across the entire production process, from raw material analysis to quality control.
- This initiative aims to enhance product quality, prevent defects, and transition the domestic paving block industry towards intelligent manufacturing.
Innoblock is spearheading a digital transformation in the paving block industry by establishing an AI-powered smart factory. This initiative moves beyond simple automation, integrating artificial intelligence and data analytics to manage the entire production lifecycle. The goal is to overcome the limitations of traditional manufacturing, which often relies heavily on worker experience and manual labor.
The new system provides integrated control from raw material analysis to production process management and quality assessment. A key feature is the use of AI vision algorithms to analyze the particle size, shape, and grading of raw materials in real-time. This allows for the proactive prevention of strength degradation and cracks, common defects in paving blocks.
Furthermore, Innoblock has adopted edge computing-based AI vision cameras and deep learning technology. This enables the precise, quantitative inspection of color variations and surface defects, which were previously subject to the operator's subjective judgment. The company has also implemented a quality tracking system capable of tracing production history for each batch (BATCH), ensuring real-time traceability of detailed information including raw material lots, mixing, production, and shipment.
This comprehensive approach to intelligent manufacturing aims to significantly improve the quality and consistency of paving blocks while setting a new standard for the industry in South Korea.
Originally published by Dong-A Ilbo in Korean. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.