USE CASE 02 · Manufacturing

See the defect beforeit becomes a recall.

Visual quality inspection for precision manufacturing — deployed on the edge, tuned on site, data never leaves your factory.

Manufacturing line connected to edge computing and a local operations console
System active
Line anomalyPPE checkSOP deviation
Horgen · SwitzerlandCamera · Edge · Local operationsLocal POC delivery

Critical scenes

Notice what matters.
Ignore the ordinary.

The useful signal may be a missing item, an unsafe presence or one step performed out of order. The system should understand the difference.

01

Process safety & PPE compliance

Monitor defined work zones for missing PPE, unsafe entry, falls and risky behaviour around operating equipment.

  • PPE compliance
  • Hazard-zone entry
  • Person down

Privacy by design: narrow field of view on processes and products, no biometric identification, edge-only processing. Employee notification kit included.

02

Line & equipment conditions

Identify conveyor deviation, foreign objects, blockages, abnormal stops and material build-up before they spread downstream.

  • Belt deviation
  • Foreign objects
  • Flow interruption

Privacy by design: narrow field of view on processes and products, no biometric identification, edge-only processing. Employee notification kit included.

03

Fire & environmental risk

Screen production and storage areas for smoke, flame and visible liquid leakage, with rules tuned to the real scene.

  • Smoke
  • Flame
  • Visible leakage

Privacy by design: narrow field of view on processes and products, no biometric identification, edge-only processing. Employee notification kit included.

04

SOP & visual quality

Track whether critical steps happen in the right order and flag missing, late or visually abnormal outcomes for review.

  • Missing step
  • Sequence deviation
  • Visual defect

Privacy by design: narrow field of view on processes and products, no biometric identification, edge-only processing. Employee notification kit included.

Precision manufacturing

See the defect before it becomes a recall.

Visual quality inspection for precision manufacturing — deployed on the edge, tuned on site, data never leaves your factory.

01

Production-ready algorithm bank

Start from a bank of production-trained inspection algorithms — scratches, burrs, dimensional deviations, surface defects. Many lines go live without training from zero.

02

New scenarios, trained locally

For new scenarios, models are trained on site, on your data, under our guidance. Your images never leave your closed network.

▶

30-second manufacturing demo

A compact, phone-ready walkthrough will appear here for sales conversations and qualified prospects.

01

First Swiss lighthouse — coming soon

A reserved case-study space for the first validated Swiss production deployment.

One accountable system

From the first frame
to a useful response.

Hardware, models and operations are designed as one working whole—not separate components left for the customer to reconcile.

01

Observe

Camera layer

Connect compatible fixed, mobile and existing IP cameras through standard video protocols.

02

Understand

Edge AI

Run trained models, zones and event rules close to the source. Video remains on the edge.

03

Operate

Operations console

Review metadata, alerts and system health locally. Video streams never leave the edge box.

SOP-aware vision

Not only what happened.
Whether it happened correctly.

Video events are placed on a process timeline. Teams can review omitted steps, sequence changes and duration exceptions with the relevant visual evidence attached.

01Enter work zone→
02Prepare→
03Perform→
04Inspect→
05Complete & record

Operational loop

Detection is only
the beginning.

An event becomes valuable when the right person receives enough context to act—and the result improves what the system notices next.

  1. 01Detect
  2. 02Verify
  3. 03Notify
  4. 04Act
  5. 05Record
  6. 06Improve

A disciplined path

Prove the smallest
meaningful thing first.

A focused POC protects time, budget and trust. Scale follows evidence.

01

Frame the case

We define one meaningful scenario, success criteria, data boundaries, employee notification, and the integration path.

1–2 weeks
02

Prove it on site

Mastertalk engineers deploy a compact edge setup, validate the data and tune the model in the real environment.

Focused POC
03

Put it to work

After acceptance, we integrate alerts and workflows, train the local team and scale with clear milestones.

2–3 months
04

Keep it useful

Models, thresholds and operating procedures are refined as the site and its conditions evolve.

Local support

Data boundaries and employee notification are defined in step 01 — before any camera is mounted.

Every POC ships with: tuned edge box, data-boundary sheet, employee notification kit (DE/FR), DPA draft.Reference site visits available on request for qualified prospects.

Local adaptation

Begin with one line, station or critical step.

We define the exception, validate it with local data, deploy it to the edge and train the local team before extending to further stations.

Book a 15-min demo ↗
01Focused

One meaningful scene

02Edge-first

Local inference

03Traceable

Event history

04Adaptable

Models and thresholds

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