Pilot projects

A pilot that ends in a decision, not a demo

Every Hype Vision project starts small: a defined use case, a few representative cameras, success criteria written in advance, and validation on your own footage.

Pilot process

  1. 01

    Discovery

    We agree on the problem, the owner, the sites and what a successful outcome would look like.

  2. 02

    Camera assessment

    Sample footage from candidate cameras is reviewed for angle, resolution, distance and lighting.

  3. 03

    Use-case definition

    Events, zones, rules, alert recipients and success metrics are written down before deployment.

  4. 04

    Pilot deployment

    Edge hardware or cloud processing is set up and connected to the selected cameras.

  5. 05

    Validation

    Detections are checked against reviewed footage; true detections, false alarms and misses are counted per camera.

  6. 06

    Report

    Results, limitations and recommended changes are documented and shared with all stakeholders.

  7. 07

    Rollout decision

    Based on measured results, you decide whether and how to expand to more cameras, sites or use cases.

Existing IP cameras / NVR

RTSP / ONVIF streams

Edge device on-site

AI models + rules; video stays local

Events

Time, camera, zone, evidence frame

Dashboard, alerts, API

Notifications, relays, REST/webhook

Typical on-premise deployment. Cloud and hybrid options are also available.

What you provide

  • A use-case owner and a short weekly check-in
  • Network access to the selected cameras or NVR
  • A place for the edge device and power
  • Agreement on success criteria before deployment

What you receive

  • Configured analytics on the pilot cameras
  • Dashboard and alerts for the agreed recipients
  • Per-camera validation of detections, false alarms and misses
  • A written report with results, limitations and rollout options

Frequently asked questions

How is a pilot structured?

Discovery, camera assessment, use-case definition, deployment, validation, report and a rollout decision. Success criteria are agreed before deployment.

How is accuracy validated?

On your own footage. During validation, events are compared with reviewed recordings and true detections, false alarms and misses are counted per camera.

What affects detection performance?

Camera angle, resolution, distance to the subject, lighting, occlusion, motion blur and how clearly the rule is defined. These are reviewed during camera assessment.

What happens when an event is detected?

The event is recorded with time, camera and zone, optionally with a snapshot or clip, and sent to the configured channels: dashboard, notifications or integrated systems.

Can alerts be integrated with existing systems?

Yes, via API/webhook or relay outputs. The receiving system and message format are agreed during the pilot.

Discuss a pilot

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