Test the use case before a full-scale AI rollout

The RIFE EDGE AI Pilot Program is designed for organizations that want evidence from their own cameras and operating environment before committing to a larger deployment. A focused pilot can use a small representative camera set—often around 2 to 5 cameras—selected to reflect the real conditions the full system will face.

The objective is not to create a perfect laboratory demonstration. The objective is to learn whether the AI is useful in the real environment, identify camera or workflow problems and produce a practical basis for scaling.

9-step pilot workflow

1. Select cameras: choose representative views rather than only the easiest cameras.
2. Choose AI use cases: define two or three high-value events with clear operational meaning.
3. Audit camera suitability: review image quality, angle, distance, occlusion and stream access.
4. Connect streams: establish the approved network and video path.
5. Run AI: configure the selected models, zones, schedules and event logic.
6. Validate events: compare detections with real footage and operator observations.
7. Tune thresholds: reduce noise and improve the balance between false alarms and missed events.
8. Prepare pilot report: document findings, limitations, camera changes and recommended production design.
9. Scale or revise: proceed to production only when the use case and deployment design are acceptable.

What the pilot validates

• Event quality: are the detections operationally meaningful?
• Alert quality: are there too many nuisance events?
• Camera suitability: are current camera views adequate?
• Operational fit: who receives the event and what action follows?
• Technical fit: can the required streams, network and compute be supported?
• Integration fit: does the customer need email, VMS, API, EHS, WMS or another workflow?
• Scale assumptions: what hardware, storage and network design will be required for production?

Good pilot use cases

A pilot works best when the event is observable and the business response is clear. Depending on the environment and available models, examples may include PPE compliance, restricted-area entry, person/vehicle zone separation, intrusion, occupancy, queue conditions, object presence, selected safety events or other application-specific detections.

The actual model set is confirmed during the technical review; not every use case is suitable for every camera or site.

What RIFE needs from you

• Site and industry type
• Approximate number of cameras
• 2–5 sample camera images or short clips where possible
• Camera/NVR/VMS details if known
• The events you want to detect
• Who should receive alerts or reports
• Any requirement for on-premise processing or restricted internet access
• Any integration requirement

Pilot report

A mature pilot should conclude with a technical record, not just a demo. Depending on project scope, the report can include cameras tested, use cases, deployment configuration, event examples, known limitations, observed false alarms, suggested tuning, camera changes, proposed hardware class, integration requirements and a recommendation to scale, revise or stop.

Privacy and data during the pilot

Before connecting streams, RIFE and the customer should agree where processing occurs, what evidence is stored, who can access it, how long it is retained and whether remote access is permitted. Edge or on-premise options can be used where the required functions support that architecture.

After a successful pilot

RIFE converts the validated pilot into a production design covering camera list, compute, network, storage, event workflow, users, integrations, rollout sequence and support. The pilot becomes the evidence base for the larger technical proposal.

Related RIFE EDGE AI resources

Trust & Technology Center · AI Accuracy & Validation · Cameras & Integrations · Deployment & Support

Start with 2–5 representative cameras

Share your camera views and the AI events you want to validate. RIFE can review whether the use case is suitable for a pilot and what information is needed for the first test.

Request a RIFE EDGE AI pilot

Continue through the RIFE EDGE AI technical ecosystem

RIFE EDGE AI Trust & Technology CenterRIFE EDGE AI Architecture & DeploymentRIFE EDGE AI Deployment, Support & Technical FAQ