Secondary Battery Monitoring
Monitoring Equipment Configuration
Rotating Equipment Monitoring
Intelligent Monitoring
- Abnormal Equipment Operation Detection
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- Detection of abnormal operation during repetitive movements
- Detection of abnormal operation during product transfer
- Detection of product omission
- Quality Anomaly Detection
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- Product appearance inspection
- Detection of missing parts
- Detection of product mixing
- Safety & Environment
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- Detection of area-specific anomalies
- Motion detection
- Detection of equipment misoperation
Monitoring System Steps
- step 01 Equipment Observation Stage
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- Detection of area-specific anomalies
- Motion detection
- Detection of equipment misoperation
- step 02 Automatic Alarm Stage
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- Integration with equipment PLC signals
- Pre/post-event recording upon PLC alarm
- Analysis support at the point of abnormal operation
- step 03 Active Alarm Stage
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- Integration with AI-enabled PCs
- Application of abnormality detection
- Enhanced discrimination of equipment errors
Application Status
※ Note: Filtered due to security processes
Intelligent System Configuration
Intelligent System Application
Equipment Anomalies
Presence/Absence of Parts · Mixing · Misalignment · Foreign Material · Damage · Printing Error
Quality Anomalies
Worker Entry into Restricted Areas · Fire
Safety / Fire
Malfunction · Failure · Damage
Performance Aggregation
Automatic Product Performance Aggregation
Intelligent System Use Cases
Main Purpose
- Process Monitoring
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Supports the implementation of optimized workflows by monitoring the manufacturing process and production status in real time.
- Equipment Status/Location/Damage Monitoring
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Establishes an operational system that prevents accidents in advance and enables immediate response by monitoring production equipment in real time.
Other Applications
- Hazardous Material Management
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Supports rapid response by monitoring hazardous substances, toxic gases, and wastewater leakage in the workplace in real time and detecting anomalies early.
- Intrusion Detection & Fire Monitoring
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Establishes a system that enables immediate response by detecting intrusions, fires, and other anomalies in critical areas through real-time monitoring.
- Quality Inspection
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Enables quality control by analyzing product appearance, color, and other attributes through video analysis.
Intelligent System Inspection Cases
- Application of AI Deep Learning System
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Enhances inspection recognition rates in diverse environments where traditional inspection systems and sorting are vulnerable, thereby preventing claims and improving customer confidence in product quality.
*Reduces quality control costs and prevents claim occurrences by improving recognition rates at a lower cost compared to vision inspection
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