A company invested 10,000 and gained 410,000 in benefits.
Subscribe now and get AI-powered device health management instantly!
You can monitor the health status of your equipment independently without hiring additional equipment engineers.
Government subsidies
NT$410,000
Company self-payment
NT$10,000
Challenges and pain points
Equipment status is difficult to monitor
Without quantitative indicators, managers find it difficult to accurately grasp the real-time health status of all equipment in the plant.
The sudden shutdown caused heavy losses.
Unpredictable equipment failures can lead to unexpected production line disruptions and wasted spare parts inventory.
Risk of sensitive data leakage
Traditional cloud solutions have raised concerns among businesses about the leakage of core production data, which could impact their competitive advantage.
Lack of AI-powered professional operations and maintenance team
Small and medium-sized enterprises struggle to recruit and maintain expensive teams of data scientists and AI engineers.
Why choose Innolux PRiSM AI Precise Diagnostic Platform Solution with NeoEdge X?
Traditional equipment maintenance consumes a huge amount of manpower and upfront investment, and often fails to detect abnormal signs in a timely manner.
The losses from unexpected shutdowns are difficult to estimate.
NeoEdge X PRiSM AI Premonitory Diagnosis Platform
By combining time-frequency characteristics, health indicators (HI), and remaining useful life (RUL) analysis, anomalies can be detected in the early stages.
No need to build an internal testing team, just subscribe and use, greatly reducing the import threshold.
By continuously monitoring and predicting with AI, downtime can be transformed into planned maintenance, directly improving uptime.
All data analysis is done at the edge of the enterprise, ensuring that production secrets never leave the factory.
AI dual-track monitoring provides a clear overview of equipment status.
From single indicators to systemic health analysis, the NeoEdge X PRiSM provides real-time detection and long-term prediction, giving maintenance decisions a basis.
Equipment Health Index
Instantly quantify health status and gain a comprehensive understanding of all equipment in the plant.
Remaining Useful Life
Predict remaining availability time to avoid unexpected downtime, plan maintenance schedules in advance, and reduce spare parts inventory costs.
Data does not leave the factory
The analysis results are retained within the enterprise, balancing cybersecurity and efficiency.
Subscribe and use immediately; remote assistance via the cloud.
With NeoEdge Central remote monitoring, you can get professional support without having to build your own team.
Application cases validated on 1,000+ devices
From reactive maintenance to proactive prediction, algorithms and models have achieved groundbreaking results in real production environments.
80%+
Anomaly detection rate
Precision early warning equipment deterioration
1,000+
Taiwan equipment empirical verification
The reliability of the algorithm is verifiable.
60%
Save on maintenance costs
Reduce losses caused by unplanned downtime
30 days in advance
Issue a maintenance alarm
Deploy maintenance resources in advance
Data source: Innolux Corporation's cooperation cases