The field event is captured in real time.
Unit count, cycle time, temperature, vibration, energy usage or events produced by a vision system are collected in an orderly way.
IoT & Hardware
Turn field data into business decisions.
Bring data from machines, sensors, cameras and handhelds together with Ainos ERP processes. Don’t just monitor production; run maintenance, quality, inventory and cost processes on real data.
- Production tracking
- Maintenance triggers
- Quality records
- Energy analysis
Field event14:32:08
Unplanned downtime detected on line PRES-02.
Maintenance work order #BK-118 created
Collects data from the field
Cameras
Sensors
PLCs & Machines
Handhelds
Barcode & RFID
Energy Meters
Core approach
Not collecting data — running the process.
The value of IoT data comes not from a chart, but from being connected to the right ERP process. Ainos ERP turns a field event into the relevant work order, quality record, stock movement or management metric.
Raw data is placed into business context.
Data is linked to ERP objects such as machine, product, shift, work order, operator and location. So a number becomes a meaningful record for the business.
ERP starts the required action automatically.
When a threshold or business rule is met, a maintenance order opens, a quality alert is raised, production progress updates or the responsible team is notified.
End-to-end data flow
A controlled integration layer between the field and the ERP.
Instead of connecting every device directly to the ERP, the setup uses a layered architecture that securely collects, organizes and routes data according to business rules.
Data from devices and systems
Machine controllers, sensors, camera systems, scales, barcode readers and handhelds produce the field state.
MachineSensorCamera eventTerminal
Edge / data collection layer
Data is collected close to the field, organized with timestamps, passed through required checks and can be buffered against connection drops.
ValidationFilteringBufferingSecure transfer
Ainos integration & rule engine
Raw values are matched with product, machine, work order and shift data. Defined thresholds and business rules determine which ERP action runs.
MappingBusiness ruleEvent handlingAPI
ERP record, alert and analysis
Production, maintenance, quality, inventory and cost modules update; management screens show the current state from the same data.
Work orderQuality recordStock movementReport
Data sources
Unify different field equipment into one business model.
Every device may produce different data. Ainos ERP offers a structure that connects data to shared processes without exposing that difference to the user.
Vision systems
Camera and vision analysis events
Link the counting, nonconformance, area breach or verification events produced by camera or vision analysis systems to the relevant production and quality records.
Product countQuality eventArea checkEvidence record
Sensor data
Temperature, vibration and environmental readings
Monitor changes in critical measurements; automatically route out-of-threshold values to maintenance, quality or storage-condition processes.
TemperatureHumidityVibrationPressure
Machine & PLC
Unit count, cycle and downtime data
Compare machine signals with the production plan. Link actual counts, cycle time, run-stop status and alarms to the work order.
CountCycleDowntimeAlarm
Operational input
Barcode, RFID and handheld transactions
Confirm material receipt, production consumption, warehouse movement, counting and shipping steps in the field, creating ERP records without delay.
Material movementCountingShippingOperator approval
Camera integration
Carry the meaningful event to the ERP — not the footage.
Camera systems produce high volumes of imagery. What the ERP needs is a verified event with clear context, at the right moment.
- Match the vision analysis result with product, line and work order.
- When a nonconformance occurs, start the quality record and responsible-team notification.
- Where needed, keep the event time and reference image link in the audit record.
Value created in ERP
Which processes does field data trigger?
Telling the technical measurement together with the business outcome makes the value of the IoT investment visible.
Actual production updates automatically.
A machine counter or operator confirmation turns into work order progress and a plan-vs-actual comparison.
Downtime, vibration or alarm starts maintenance.
Depending on the event type, a fault report, inspection task or preventive maintenance alert is created.
The nonconformance record is created at the source.
A sensor or vision event is passed to the quality team together with product, lot and operation data.
Physical movement reflects into ERP stock reality.
Barcode, RFID, scale or terminal data confirms receipt, consumption, transfer and shipping movements.
Consumption matches real production data.
Line- or machine-based energy readings feed product, shift and operation cost analysis.
A single, current operations view forms.
Production, downtime, quality and energy data are evaluated in one ERP context, not on separate screens.
Product preview
Show live data together with ERP actions.
Field telemetry and the actions that data triggers in the ERP, on one panel. The values below are representative demo data.
Note: panel values are representative; a real setup runs on your own site data.
Security and continuity
A controlled data flow suited to the production floor.
IoT integration is not just about connecting. Authorization, traceability, connection continuity and system boundaries must be addressed from the start of the design.
Layered access
Access for devices, the integration service and ERP users is managed at separate authorization levels.
Encrypted, logged communication
Data transfer happens over secure channels; critical events and integration operations are tracked with audit logs.
Interruption tolerance
When the field connection is temporarily lost, buffering scenarios in the collection layer can prevent data loss.
Gradual rollout
Start with one critical line or process; the validated model is then rolled out to other machines and facilities in a controlled way.
FAQ
Enough technical detail to decide.
Setup, device support, data security and starting scope — the most common questions.
Frequently Asked Questions
Which devices and systems can data be taken from?
Different sources such as machine controllers, sensors, camera or vision analysis systems, energy meters, scales, barcode/RFID readers and handhelds can be brought into scope. Exact support is determined by the device’s communication method and the project scope.
Are camera images transferred directly to the ERP?
Usually the aim is not to carry a continuous video stream into the ERP, but to link the counting, nonconformance or verification event produced by the camera system to the relevant ERP record. Where needed, a reference image tied to the event can also be stored.
Can integration be done without changing existing machines?
In many projects you can proceed using the existing controller, sensor output or external data collection equipment. The right method is chosen during the site survey, considering the machine’s age, accessible signals and production safety.
Where should the project start?
The best start is to pick a single line, machine group or critical process that delivers measurable benefit. For example, unplanned downtime, scrap tracking or energy consumption can be the pilot scope. Once validated, the model is scaled out.