Data collection Cloud platform SMore AIoT

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Product overview
SMore AIoT by SmartMore is an industrial AIoT platform that integrates AI, computer vision, digital twin, IoT and big data. The platform connects OT to IT and covers device, production line, factory and enterprise layers to deliver end‑to‑end digital services for production, operation and management in manufacturing environments.

Key functions

• AI-driven visual inspection and analytics (computer vision).
• Digital twin for production line and factory modelling.
• IoT data acquisition and device management.
• Predictive equipment operation and maintenance.
• Consumption analysis, inventory and process parameter optimization.
• Enterprise data lake and management dashboards for decision support.

Applications

• Equipment process layer: Real-time IoT data capture, parameter tuning and process optimization.
• Production & factory layer: Digital twin for transparent factory operations, smart logistics, predictive operation management, visual lean operations and AI-based quality control (AI‑ADC, AI‑OCR for legacy devices).
• Enterprise level: Centralized data lake, cross‑site analytics and executive dashboards for operational and strategic decision-making.

Application cases
SmartMore implemented one‑stop solutions across equipment, line and enterprise layers. Reported results include a 35% reduction in coating adjustment time, 25% reduction in material loss, 20% increase in overall production capacity, 31% reduction in equipment downtime and 20% lower maintenance costs. These outcomes supported data‑driven smart factory construction and operational efficiency improvements.

Technical specifications

• Brand: SmartMore
• Commercial name: SMore AIoT
• Type: Industrial internet / AIoT platform integrating AI, computer vision, digital twin, IoT and big data
• Coverage: Device layer, production line, factory and enterprise layers; spans OT to IT
• Main functions: Intelligent production, operation and management services; equipment parameter optimization; digital twin; smart logistics; predictive equipment management; consumption analysis; visual lean operation; AI‑ADC quality management; AI‑OCR for non‑intelligent devices; enterprise data lake and dashboards
• Reported results: 35% reduction in coating adjustment time; 25% reduction in material loss; 20% increase in overall production capacity; 31% reduction in equipment downtime; 20% decrease in maintenance costs