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Vision AI · integrated in Switzerland

The quiet intelligencewithin every frame.

Camera, edge AI box and SaaS oversight—integrated locally, tuned on site and delivered as one dependable Vision AI system.

Discuss your site ↗Explore the system ↓
RETAIL 01 · LIVE OPERATIONS SYSTEM ACTIVE
01 Multi-camera / store
Queue growth
Loss prevention
Shelf placement
CAM 01–0624 FPS · EDGE READY
02 Edge inference
M
EDGE / 01Vision compute box
QueueLossShelfOccupancyZoneCount
100+retail algorithms
ready to adapt
03 SaaS monitor
Retail operations / Horgen
Cameras06
Online06
14:32:02
Queue growthCheckout 02 · 6 waiting
Review
14:35:03
Loss preventionAtypical item movement
Review
14:38:04
Shelf placementDisplay gap detected
Review
Observe every zone→Infer locally→Act with contextCamera · Edge · SaaS
47.2306° NHorgen · Zurich8.6164° E
01

How we work

One accountable system

From camera to action,
without the usual distance.

Computer vision rarely succeeds as software alone. It has to understand the site, the light, the workflow and the moment an alert becomes useful.

We combine cameras, compact edge compute, adaptable algorithms, integration and local training into one delivery. The result is a faster path from a focused POC to a dependable production system—without rebuilding your entire video estate.

Integrated by design

Camera, edge and cloud.
One working whole.

I

See

Camera layer

Connect compatible IP cameras and mixed estates through standard video protocols.

II

Understand

Edge AI box

A compact black box runs inference close to the source for low latency, data control and lower bandwidth.

III

Decide

Algorithm bank

Start from a rich library of trained algorithms, then tune zones, thresholds and models for the real scene.

IV

Monitor

SaaS control

Monitor system health, events and sites from one operational console, with alerts routed into existing workflows.

Hardware + software + field engineering

Less integration overhead. More value from every camera.Shape your configuration ↗
02

Use cases

Built around the scene

One visual layer.
Many working realities.

We begin with the event that matters—not an abstract list of algorithms.

Retail Vision AI use case
01

Retail

A store that notices before the queue becomes a problem.

Turn existing camera streams into operational signals for queue build-up, occupancy, blocked aisles and after-hours activity.

  • Queue growth
  • Footfall & occupancy
  • Restricted access

OutcomeFaster response without adding another screen to watch.

Manufacturing Vision AI use case
02

Manufacturing

Safer work, observed at the pace of production.

Continuously screen defined zones for missing PPE, unsafe entry, smoke, flame, liquid leakage and abnormal behaviour.

  • PPE compliance
  • Hazard-zone entry
  • Smoke & leakage

OutcomeBring attention to the exception, while teams stay focused on output.

Entertainment & gaming Vision AI use case
03

Entertainment & gaming

Calm operations, even when the floor is moving.

Surface crowding, loitering, unattended objects and restricted-area activity across busy venues and gaming environments.

  • Crowd density
  • Loitering
  • Unattended objects

OutcomeGive security and operations a shared, real-time view of risk.

Logistics & warehousing Vision AI use case
04

Logistics & warehousing

A flow that reveals where it begins to slow.

Observe docks, sorting zones, conveyor interfaces and loading lanes for build-up, blockage and unsafe interaction between vehicles and people.

  • Dock occupancy
  • Flow interruption
  • Vehicle-person proximity

OutcomeCatch local exceptions before they ripple through the wider operation.

Industrial parks Vision AI use case
05

Industrial parks

One layer of intelligence across a complex site.

Unify mixed camera estates and monitor perimeters, vehicle movement, high-risk work areas and distributed facilities.

  • Perimeter events
  • Vehicle flow
  • Multi-site oversight

OutcomeExtend the value of infrastructure already in place.

Close enough to matter

Swiss at the centre.
European in reach.

From our base in Horgen, Zurich, we serve sites within a practical on-site radius of roughly 1,000 kilometres. Close enough to inspect the real scene, tune with real data and stand beside the people who will use the system.

LocalField validation
Edge-firstData-conscious design
OpenExisting-system integration
03

POC to production

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 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

Partner with Mastertalk

Local knowledge.
Shared capability.

We partner with European technology companies, integrators and customer-side innovation teams that know their market and want to add production-ready computer vision to their offer.

Become a partner ↗
01

Enablement

Technical consultation, solution training and reusable POC methods for your local team.

02

On-site support

Mastertalk engineers and algorithm specialists join the first focused POC and early delivery.

03

Shared delivery

Clear roles, compliance framework, milestone-based implementation and agreed commercial participation.

04

Long-term capability

Model-training support helps partners handle more local validation and adaptation over time.

Begin with one scene

What should your
space notice?

Tell us about the site, the event and the outcome you need. We will reply with a practical first step—not a generic product list.

daniel@mastertalk.ai ↗+41 76 567 20 00 ↗

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