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Vision and edge

Custom video analytics and edge inference

Build domain-specific temporal events and deploy them close to cameras when latency, bandwidth, or privacy requires it.

Primary buyer: Technical and operational infrastructure teams
01Primary buyerTechnical and operational infrastructure teams
02Target outcomeActionable video events without continuously moving raw footage to the cloud
03Useful starting pointTarget event, representative footage, hardware constraints, latency, bandwidth, privacy, and field support boundary.
01

The real constraint

Camera position, lighting, occlusion, privacy, hardware, and field maintenance can matter more than model choice.

02

How we approach it

We define zones, events, error costs, edge/cloud boundaries, review, and installation ownership before scaling cameras.

03

How we prove it

Representative footage is segmented by difficult conditions and evaluated against the operator decision it supports.

Production system

Vision and edge

Images and video converted into measurable events, quality evidence, and operational decisions.

  • 01Camera and scene specification
  • 02Detection, segmentation, and tracking
  • 03Zone, event, and temporal logic
  • 04Edge inference and secure transport
  • 05Operator review, alerts, and drift checks

Typical fit

Actionable video events without continuously moving raw footage to the cloud

IndustriesManufacturingMobilityLogisticsEnterprise teams
TechnologyComputer visionEdge inferenceAzure

FAQ

Questions before a pilot

01Do we need perfect data before starting?

No. Discovery establishes whether representative data exists, what quality gaps matter, and the cheapest evidence needed before a production promise.

02Can Tandemora own the complete implementation?

Yes. Scope can include product interface, models, data, cloud, integrations, observability, deployment, and handover, with specialists added when the system requires them.

03How is pricing determined?

Uncertain work begins with a bounded paid discovery or pilot. Production is priced after evidence clarifies data, integration, quality, operations, and ownership.

Service focus

Custom Edge Video Analytics Development

Develop domain-specific video events and edge AI inference for constrained latency, bandwidth, privacy, hardware, and field operations.

Built for
Technical and operational infrastructure teams
Designed to achieve
Actionable video events without continuously moving raw footage to the cloud

Related delivery scope

  • custom video analytics software
  • edge AI video analytics
  • computer vision development services
  • on-premise video analytics

Need a different system?

Not quite your solution?

Explore nearby systems or bring the outcome, workflow, and constraints that do not fit a predefined category. Tandemora can scope a custom solution around the real operating problem.

Your version will have different constraints.

Bring the workflow, current system, available evidence, and the assumption you trust least. We will identify the smallest useful next step.

Discuss this system