Inspect
Read the photographIndependent visual inspection looks for damage, capture artifacts, and whether the supplied view is usable.
THE PLATFORM
VisionX connects visual inspection to structured review. AI detects; backend rules validate, decide, annotate, store, and serve the result.
01 / FROM PHOTO TO OUTCOME
Each stage has a different job. Review and adjudication are used only when required by the configured strategy.
Independent visual inspection looks for damage, capture artifacts, and whether the supplied view is usable.
Backend checks normalize the findings, validate their structure, and apply the product’s decision rules.
When the strategy needs another assessment, informed review considers the original image and the first-pass claims.
Accepted evidence supports a resolved outcome. Uncertainty can lead to human review or a request for another photo.
02 / WHAT THE IMAGE CAN SHOW
Cracks, chips, and scratches retain their recorded types instead of becoming a generic damage label.
See crack evidenceLines, black spots, and visible discoloration can coexist with physical glass damage.
See a display caseReflection, glare, screen content, dust, and other artifacts remain separate from damage findings.
See capture context03 / ROUTING OUTCOMES
Accepted evidence supports a damaged outcome, with canonical findings available for inspection.
The supplied view resolves without confirmed visible damage. Unseen surfaces and function remain outside scope.
Uncertainty or insufficient visibility can require human review or a better photograph.
A damaged outcome can resolve while model roles differ on the exact finding inventory. Disputed cases disclose that distinction permanently.
QUESTIONS / PRODUCT
No. These inspections assess visible evidence in supplied photographs. Touch, battery, internal components, and intermittent behavior require separate checks.
No. Inspect, validate, review, and adjudicate describe the process. The selected strategy and evidence determine which roles are required.
No. The overlay visualizes recorded canonical geometry. The original photograph remains essential, and the annotation is not independent human verification.
Capture quality can affect the result. Depending on the evidence and configured policy, VisionX may request another photo or require review.
No. It explains recorded behavior. A meaningful evaluation needs representative images, human-reviewed references, and separate outcome and inventory measurements.
THE NEXT STEP
Bring your capture conditions, decision rules, and a representative set of photos. Start with an evaluation grounded in your workflow.