Realtime camera QA

Realtime QA: Connect camera feeds and turn live production samples into reviewable QA events.

Connect a browser camera, edge agent, or RTSP-backed factory camera and sample production footage against your visible product standards. Realtime QA creates timestamped events with screenshots, confidence, severity, and reviewer disposition so quality teams can monitor lines continuously without manually watching every feed. Current scope: camera registration, secure edge-agent tokens, sampled frame ingestion, usage metering, and human-reviewed QA events. It is built for operational alerting and review, not PLC-connected line-stop automation or validated high-speed rejection control.

Built for VPs of Quality, plant managers, operations directors, continuous improvement teams, packaging teams, and camera integrators supporting manufacturing sites.

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

Sample output

Live line exception queue

Camera: Bottling Line 2; agent online
Event: suspected missing cap at 14:08:12
Usage: sampled frames counted toward indexed minutes and storage

Workflow fit

Built for teams that need evidence, not just summaries.

VidScanner Realtime QA is for teams that want a practical way to connect production cameras, sample frames, and review likely QA issues without manually watching every feed. Each camera can be tied to a product, line, site, sampling interval, and written standard.

The workflow starts with a secure edge agent or browser camera demo, then writes sampled frames to VidScanner storage and creates reviewable events when the feed appears to violate the standard. The event includes timestamp, screenshot evidence, severity, confidence, and disposition controls.

Realtime QA is built for monitoring, triage, and human-reviewed operational alerts. It is not positioned as a calibrated PLC controller, automated rejection system, or validated replacement for a dedicated high-speed machine-vision deployment.

Connected camera workflow

Built for plants that need continuous video QA without watching every feed.

Realtime QA turns connected camera samples into reviewable events, while keeping capacity, storage, indexed minutes, and overages visible for teams that monitor recurring production footage.

Connect cameras through an edge agent

Register a plant-side agent, rotate scoped tokens, and connect browser or RTSP-backed camera sources to the workspace.

  • Scoped edge-agent tokens shown once and safely hashed
  • Camera status, heartbeat, source type, and sampling interval
  • Works for pilot stations before broader camera rollout

Monitor against product standards

Define the good output, defect taxonomy, severity rules, and sensitivity level each camera should use.

  • Line, product, and camera-specific QA standards
  • Good, major defect, minor defect, and uncertain-case descriptions
  • Human review for confirm, false positive, ignore, or needs-review outcomes

Meter video volume from day one

Connected camera feeds can create a lot of footage, so sampled frames are gated and metered before upload and indexing.

  • Storage and indexed-minute usage counted with existing plan caps
  • Overage visibility in billing for paid plans
  • Designed to scale pilots without silent cost leakage

Enterprise pilot checklist

Fixed camera with stable lighting and a clear view of the inspected feature
Written product standard and defect taxonomy for each line or SKU
Sampling interval chosen to match line speed and plan capacity
QA owner assigned to review events and false positives
Billing owner aware that camera samples count toward storage and indexed-minute usage

What to upload

A connected camera feed plus product standards and sampling rules.

  • Browser camera demo from a pilot station
  • RTSP camera connected through a VidScanner edge agent
  • Packaging, bottling, food, or assembly checkpoint feed
  • Fixed security or line camera used for recurring QA review

What you get

A live QA event queue with screenshots, timestamps, confidence, severity, and metered usage.

  • Active camera and edge-agent status
  • QA standards by line, product, and defect taxonomy
  • Frame samples counted toward indexed-minute and storage usage
  • Open QA events with screenshot evidence and reviewer disposition
  • Usage visibility for storage, indexed minutes, and overages

Exports

  • Review queue records
  • CSV or JSON exports where available through QA workflows

Common realtime qa workflows

Tips for better results

Use fixed camera angles with stable lighting and clear product visibility
Set sampling intervals that match line speed and plan capacity
Define pass criteria, major defects, and uncertain cases before monitoring
Review flagged events before changing release, hold, or rework decisions

Questions teams ask

What cameras can Realtime QA connect to?

The workflow supports browser-camera demos and edge-agent camera sources, including RTSP-backed cameras connected through the agent. The best inputs are fixed cameras with stable lighting and a clear view of the product feature being checked.

How is realtime usage billed?

Sampled frames and clips count toward storage and indexed-minute usage. Paid plans include capacity, and overages apply when a workspace exceeds its plan limits.

Can Realtime QA stop a production line automatically?

No. Realtime QA creates a reviewable exception queue for operators and QA teams. PLC integration, automatic line stops, and validated rejection control require a dedicated machine-vision deployment.

Can we test it before connecting factory cameras?

Yes. Teams can start with a browser-camera demo or short pilot feed, define product standards, and verify event quality before connecting production cameras.