Machine Monitoring
Locate running and stopped equipment in the factory view before asking for an update.
The Capy Family / CapyX
CAPYX · FACTORY INTELLIGENCE
See what your factory needs attention — before the daily meeting.
CapyX connects machine and production data into one operational view, helping teams understand performance, downtime, quality and abnormal conditions faster.
01 / The operational problem
Factory data is everywhere. Context is not.
A stopped machine, a missed production target and a quality issue can sit in different records. Bring the signals together so the team can start with what happened, where it happened and what to check next.
Data and source context
- PLC
- Machine
- Sensor
- Excel
- Operator
- Quality
- Maintenance
CapyXOperational context
What the team reviews
- Status
- Trend
- OEE
- Downtime
- Alert
- AI Insight
02 / What the user sees
Start with the factory. Follow the issue to the machine.
Production Monitoring
Compare production progress with the plan and see where the next conversation belongs.
OEE & Downtime
Read effectiveness alongside recorded downtime reasons. An OEE number starts the investigation; it does not explain it alone.
Quality / Abnormal Conditions
Bring quality and machine-condition signals into the same operational discussion.
AI Operational Insights
Use an assisted summary to choose which events and underlying records to review first.
03 / The role of AI
A clearer starting point for the next decision.
Industrial AI helps summarize recorded events and surface conditions for engineering review. Its usefulness depends on available signals, reliable timestamps and the production context configured with your team.
What AI does not do
AI does not establish the root cause or autonomously control a machine. Engineers verify the evidence and decide the response. This example does not imply every machine has vibration sensing or baseline analysis configured.
04 / Fit with existing systems
Start with the operation you already have.
Begin with the machine signals and production records already available. CapyX's current configuration maps signals through an IoT edge device or gateway; it does not write directly into a PLC. The engineering assessment confirms the signal path, equipment compatibility and data scope before connection.
Older machines: assess an edge signal path.
No modern machine-data interface? Assess the signals first. The current setup includes edge signal mapping and an ESP DC input template. For an older machine, an engineer must confirm accessible signals, electrical compatibility and installation requirements. This is not a promise that every machine can connect without modification.
05 / Implementation
Agree the scope. Start with a useful decision.
- 01
Discover
Understand machines, available data and the decisions your team needs to make.
- 02
Connect
Confirm and connect the agreed gateway, edge or sensor signal path.
- 03
Configure
Add machine, production, downtime and operational context.
- 04
Use
Review dashboards, alerts and AI insights with the people responsible for action.
Scope and implementation plans depend on data, existing systems and team readiness, and are agreed after discovery.
Before you get started
Who is CapyX for?
For production leaders, factory engineers and maintenance teams preparing the next shift, daily meeting or investigation.
What should we prepare for a walkthrough?
Bring a machine list, available data sources and one production problem you want to understand.
How does it fit existing systems?
Begin with the machine signals and production records already available. CapyX's current configuration maps signals through an IoT edge device or gateway; it does not write directly into a PLC. The engineering assessment confirms the signal path, equipment compatibility and data scope before connection.
What are the limits of AI?
AI does not establish the root cause or autonomously control a machine. Engineers verify the evidence and decide the response. This example does not imply every machine has vibration sensing or baseline analysis configured.
06 / Your next step
Talk about your factory
Bring a machine list, available data sources and one production problem you want to understand.
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