Value reason 01
Apply inspection consistently
Execute the defined visual check the same way across parts, shifts and production volume.
AI Visual Inspection
DatVision AI
Configure visual inspection around the line—not the other way around.
A purpose-built application for camera-based visual inspection — defect capture, packaging checks and image review on the line. Visual Inspection Analyst works across DatVision AI or whatever inspection imagery your line already captures.
Inspection confidence99.4%
Evidence-backed findingSurface exception traced to station
Inspection ExampleEvidence-backed
The system detects and records an assembly-presence exception before the component leaves the station.
The expected feature is absent in the defined inspection region
The product code and inspection image are retained
The result is available to the line and quality workflow
Recommended next step
Route the unit for validation and use the retained image to confirm the defect and response.
Illustrative product-output example. Values and findings are not customer results unless a published case study is linked below.
Why Teams Buy DatVision AI
Buy DatVision AI when inspection consistency, traceability or line speed cannot depend on manual checking alone.
DatVision AI provides configurable on-line inspection for defects, presence, code reading, traceability and assembly verification. It applies a repeatable inspection workflow while authorised people retain exception and disposition decisions.
Value reason 02
Protect traceability across variants
Retain inspection images, results and product identity where the workflow requires evidence.
Value reason 03
Scale without scaling repetitive effort
Increase inspection coverage while directing people to exceptions that require judgment.
Cost of waiting
Every unchecked, misidentified or non-traceable part increases exposure to escapes, rework and containment.
How the value becomes measurable
Parts inspected
Exceptions retained
Manual effort reduced
Escape and rework impact validated
Production deployment evidence
DatVision AI has operated across four Ashok Leyland plants for three years and at Wheels India for one year as part of 20+ customer rollouts.
What It Does
Built around the work your team performs every day.
Start with one operating decision, connect the evidence already available and expand as value becomes visible.
01Surface and component defect detection
02Presence, absence and assembly verification
03OCR, barcode and code recognition
04Product identification and traceability
05Configurable inspection workflows and evidence capture
Questions It Helps Answer
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Is the component present, correct and assembled as expected?
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Does the surface contain the trained defect condition?
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Can the product code or identifier be read and verified?
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Which inspection evidence must be retained for traceability?
What Your Team Receives
Real-time pass, fail and exception result
Captured visual evidence
Defect class and inspection context
Traceability-linked result where configured
Inspection data for recurring Analyst review
Works With What You Have
Your current systems remain the source of truth.
Connect directly where data is accessible. Use EdgeVISS where operational data is trapped inside machines, controllers or industrial protocols.
Industrial camerasLighting and triggersPLC / line signalsGPU serverProduct masterOCR and codesTraceability systemQMSOperator validation
Operational Outcomes
Improve consistency of repetitive inspection
Create traceable visual evidence
Reduce dependence on manual record capture
Configure multiple inspection use cases
Connect detections to quality investigation
Deployment
Designed for industrial architecture
Deploy in the architecture that fits the plant, data-governance and latency requirements. Access remains governed and operational experts retain decision authority.
On-premiseGPU serverEdgeSingle or multiple cameras
Move from detections to recurring intelligence
The DatVision AI Analyst examines inspection evidence over time to identify recurring defect patterns and investigation priorities.
Start With One Real Decision
See what DatVision AI finds in your own operational data.
Begin with one dataset, one recurring problem and one decision your team needs to improve.
Analyse My Data