A bearing heating up at three in the morning
The thermal reading raises the alert before the belt stops the line.
vRover
Automatic inspection
The problem Inspection depends on someone walking the plant and noticing.
intellifix · vRover
Inspection dashboard (concept screen)
What it does
The patrol that happens even at three in the morning.
Autonomous patrols with visual and thermal anomaly detection.
Patrol cameras and sensors- Scheduled autonomous patrols
- Visual and thermal anomaly detection
- Immediate alert with recorded evidence
Module screens
The interface, screen by screen.
Captures from the running application, with demonstration data.
intellifix · vRover
Inspection dashboard (concept screen)
intellifix · vRover
Live patrol (concept screen)
How it works
From the data that comes in to the decision that goes out.
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1
The route is defined
Points, frequency and what to look at in each one. The patrol stops depending on who is available.
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2
The rover runs it alone
Visual and thermal capture at every point, on schedule, including the areas nobody likes to walk.
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3
The reading meets the pattern
Each capture is compared with what normal looks like at that point, on that equipment.
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4
The anomaly alerts with evidence
The alert goes out immediately, with the image and the reading attached, so maintenance argues with facts.
Requirements
What it takes to go live.
Data it needs
Patrol cameras and sensors
This is the hard requirement. Without it, the capability has nothing to read.
What the plant needs
- Patrol cameras and sensors, fixed or on the rover.
- A route the rover can actually travel.
- Network coverage along the route.
- Who receives the alert, and what they do with it.
Where it acts
Where it acts in the plant.
Results delivered
What becomes possible.
- The patrol happens on schedule, not when somebody is free.
- Every anomaly leaves a record with the image and the reading attached, instead of a verbal report.
- Hazardous and remote points get inspected without sending a person in.
- Maintenance opens the shift already knowing what changed overnight.
Examples of use
On the floor, it looks like this.
A leak in an area nobody walks
The route covers it every day, with a record, and not only when somebody happens to pass by.
Gauges in a hazardous area
The reading is collected without sending a person in, and the value is logged with the image.
Benefits by role
What each side of the operation gains.
Operation
The shift sees which points were covered and which ones raised an alert, without walking the route to find out.
Quality and process
The anomaly arrives with the image and the reading, so the deviation record starts from evidence and not from memory.
Management
Inspection coverage becomes something you can look at, and the points that keep repeating show up before they stop the line.
Integrations
It does not work alone.
Every capability reads from and feeds the others. What this one exchanges inside the operation:
OEE
Efficiency and losses
An anomaly caught on patrol is an unplanned stop that never reaches the loss tree.
Open capability
IPM
Monitor the process
The point being inspected is the same equipment process monitoring already reads, from the outside instead of from the tag.
Open capability
QCP
Quality and deviations
Visual evidence attaches to the deviation record, and the treatment starts with a picture.
Open capability
vRover
Want to see this on your own data?
Bring the map of one patrol route. In the demo we set the points and show the anomaly alert.