VidScanner

Realtime QA use case

RTSP factory camera inspection

RTSP factory camera inspection that routes existing production cameras through a secure edge agent for sampled-frame QA review and event triage.

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Realtime factory camera feed with AI quality inspection overlay
Realtime camera QA

Workflow guide

How this use case fits into a repeatable video review process.

Many plants already have cameras, but those feeds are not automatically useful for quality review. The RTSP inspection workflow lets a team connect an existing fixed camera through a VidScanner edge agent and sample frames into a QA event queue.

The first goal is to validate whether the camera view can see the defect criteria clearly. If glare, blur, or distance hides the standard, the system should be treated as a signal that camera placement needs work before automation expands.

Once the feed is useful, teams can adjust sampling intervals, watch metered usage, and review defect events alongside uploaded Factory QA inspections.

Sample input

an RTSP-backed fixed camera pointed at a production, packaging, bottling, or assembly checkpoint

Sample output

camera-backed QA events with timestamp, screenshot, status, severity, confidence, and review disposition

Enterprise fit

Best fit

Batch review, inspection pilots, customer complaint evidence, supplier dispute review, quality audits, and early realtime camera pilots where the video clearly shows the product standard.

Operational boundary

Use Factory QA and Realtime QA as evidence and alert review layers before final disposition. PLC control, calibrated high-speed tracking, and automated line shutdowns require a dedicated machine-vision deployment.

How it works

  1. Install or run the VidScanner edge agent near the camera network
  2. Register the RTSP camera and confirm heartbeat status
  3. Attach product standards and defect categories
  4. Test sample frames before increasing sampling frequency
  5. Review and disposition events in the VidScanner dashboard

Tips for this workflow

Start with one fixed camera, one product standard, and one line before expanding.
Set sampling intervals deliberately because camera samples count toward indexed-minute and storage usage.
Use stable lighting, close framing, and visible checkpoints so sampled frames contain the QA feature.
Review early events for false positives before treating alerts as operational signals.

Review checklist

Confirm the RTSP feed is stable and reachable by the edge agent.
Review the first sample frames for clarity, framing, and lighting.
Use conservative sampling until the expected monthly volume is understood.
Document camera blind spots in the QA standard notes.

FAQ

What video should I use for RTSP factory camera inspection?

Start with an RTSP-backed fixed camera pointed at a production, packaging, bottling, or assembly checkpoint. The recording should show the important visual evidence clearly and include narration when spoken context changes the meaning of the scene.

What output does this workflow create?

VidScanner generates live line exception queue details such as camera-backed QA events with timestamp, screenshot, status, severity, confidence, and review disposition. Each item stays connected to the source video for review.

Can the result be exported?

Realtime QA exports include Review queue records and CSV or JSON exports where available through QA workflows, depending on the app workflow and account plan.