Skip to content
Skill Reality

Verification

One look. One image. Checked.

At the steps you mark critical, the glasses capture a single image and AI checks it against your SOP. The worker sees the result in the lens before moving on.

What happens between "confirm" and the next step.

  1. You mark the step

    Flag it critical in Forge and write the pass criteria in plain words.

  2. The camera takes one image

    A single frame when the worker confirms. No video.

  3. AI checks it

    Reading in range, part in place, label matches the run.

  4. Pass moves on. Fail stops.

    A fail asks the worker to recheck before the step can advance, and the failed attempt is logged for supervisors.

Privacy

The camera is used once, at a step the worker confirms.

Worker privacy
  • One image per critical step. Nothing in between.
  • Faces blurred before any image is stored. Retention period is customer-configured.
  • No continuous video. Ever.
  • You control access. QA and food safety leads see what they need.

Checks your supervisors already do by eye

  • Gauge and meter readings
  • pH strips and swab results
  • Metal detector test pieces
  • Lot codes and allergen labels
  • Gaskets and parts seated
  • Changeover settings on the HMI
  • Pallet labels and bin locations

The gap paper checklists leave open

Sign-offs confirm presence, not performance

Paper checklists and verbal sign-offs record that a worker was there. They do not prove the step was performed correctly. Audits find the gap only after an incident or a failed inspection.

  • Paper checklists are filled in after the task, sometimes hours later, from memory.
  • Verbal sign-offs depend on a supervisor being present at the right moment.
  • There is no record of whether a critical step was performed correctly, only that it was initialed.
  • Auditors and food safety teams spend hours reconstructing records that should have been automatic.
  • Non-conformances surface at the audit, not at the moment the step was missed.

Verification capabilities

Proof that holds up in an audit

  • Camera-based step confirmation

    The glasses camera checks the action at the moment it is performed, not after the fact. Verification is tied to the step in the procedure, not to a separate checklist.

  • No continuous video stored

    Continuous video is never recorded. The verification frame for each checked step is retained with faces blurred; retention period is customer-configured.

  • Automatic compliance log

    Every verified step generates a log entry automatically. Worker identity, procedure, step number, and timestamp are recorded without any manual entry.

  • Critical control point support

    Mark any step as a critical control point in Forge. Those steps require camera verification before the worker can advance.

  • Real-time feedback in the glasses

    If the AI cannot confirm the action, the worker sees an immediate prompt to retry. They are not told after the fact.

Interface actual. Plant environment illustrative.

Common questions

How does the AI know a step is done correctly?
The AI compares the camera image at the moment of verification against the expected state for that step, as defined in Forge during authoring. What counts as a confirmed action is set by your team, not by a generic model.
What happens if the verification does not pass?
The worker sees an immediate prompt in the glasses indicating the step was not confirmed. They can retry the action. A failed attempt is also logged, so supervisors can review the record.
Is video of my workers being recorded and stored?
No. Continuous video is never recorded or stored. The camera captures a verification frame at each critical step. The frame is retained with faces blurred; retention period is customer-configured.
Which steps can be set up for camera verification?
Any step in a procedure can be flagged for verification in Forge. Verification is typically applied to critical control points, safety checks, and steps where errors have the highest consequence.