Observations stay unstructured
Readings and equipment states are often recorded as free-text notes or isolated photos.
HYVIS Vision
Convert visual observations into structured operational data.
HYVIS Vision can be configured to recognise selected instrument readings, indicator states, equipment conditions and visual abnormalities while preserving the image evidence behind each result.
Meter reading
Indicator recognition
Switch-state checks
OCR and identification
Visual evidence
Operational challenge
A photograph is useful. A structured result is actionable.
Visual inspection becomes operational data when each observation is tied to an asset, inspection point, expected state and reviewable image.
Small changes are easy to miss
Subtle indicator, switch or surface changes can be overlooked during repetitive rounds.
Evidence varies by operator
Camera position, image framing and naming conventions can change between inspections.
Manual comparison takes time
Teams must search through images and reports before they can compare current and prior states.
Recognition workspace
Review the target, result and evidence together.
Select a configured target to see how HYVIS Vision packages the visible observation into a traceable inspection record.
Evidence frame
Panel 12 · Camera position 03
Result accepted
Digital meter
Meter reading captured
238.7 V
Within configured range
Linked record
Panel 12A · Digital meter · Mission 04
Key capabilities
From pixels to inspection records.
Configure the visual target, recognition task and evidence output around the inspection decision your team needs to make.
Readings
Turn instrument displays into records
- Pointer-meter reading
- Digital-meter reading
- Pressure-plate status recognition
- Reading and asset association
States
Recognise visible operating conditions
- Indicator-light recognition
- Switch and knob recognition
- Equipment-state recognition
- Abnormal-object detection
Evidence
Keep every result reviewable
- OCR and asset identification
- Visual evidence capture
- Current and prior-state comparison
- Review status and report output
Pilot validation
Performance depends on the inspection scene.
Recognition performance depends on image quality, camera angle, lighting, distance, inspection target and site conditions. Final performance is validated through a focused pilot.
No universal accuracy claim
Image quality
Resolution, motion blur and exposure
Camera angle
Target visibility and perspective
Lighting
Glare, shadow and local illumination
Distance
Target size within the captured frame
Target variation
Device types, labels and operating states
Site conditions
Obstruction, vibration and environmental context
Best-fit environments
Built around visible inspection targets.
HYVIS Vision can operate from fixed cameras, robotic platforms or repeatable inspection positions selected for the target and operating environment.
Electrical rooms
Meters, indicators and switchgear states
Switchgear
Breaker, panel and connection evidence
Manufacturing equipment
Machine state and abnormal-object checks
Data centres
Panel, rack and support-system observation
Control panels
Displays, labels, knobs and indicators
Utility facilities
Repeatable visual checks across distributed assets
Validate on site
Ready to evaluate one visual inspection target?
Use the Pilot Program to test camera position, lighting, distance, target variation and review criteria against representative site imagery.