Video Search and Analytics

Turn video streams into operational data.

SVCG designs computer vision systems that ingest live or recorded video, run task-specific models, index events over time, support visual search, and connect verified results to the operating workflow.

What a production video system requires

A production video system combines a vision model with reliable ingest, temporal metadata, searchable event records, confidence handling, review tools, retention rules, and downstream integration. We design each layer around the event to be detected and the action that should follow.

Capabilities

Visual Search

Index objects, incidents, conditions, and time ranges so operators can search recorded footage or investigate a live event.

Computer Vision Models

Select and test detection, classification, segmentation, tracking, or anomaly models against representative site footage and failure cases.

Operational Integration

Connect verified events to alerts, review queues, rework tasks, dashboards, agents, and systems of record.

Where video analytics earns its place

The use case needs a defined event and a useful downstream action. Examples include defect review on a production line, warehouse incident investigation, emissions detection, yard monitoring, physical security triage, and visual audit evidence. Accuracy should be measured at the operating threshold, not on a generic benchmark.

FAQ

Does video analytics require new cameras?

No. Existing cameras are often sufficient for an initial evaluation. The deciding factors are resolution, field of view, frame rate, lighting, retention, network access, and whether the footage captures the event clearly enough for the target model.

Can video analytics connect to AI agents?

Yes. A verified detection can create a review task, open a ticket, request rework, update a system of record, or start an agent workflow. High-impact actions should wait for a confidence check or human approval.

Start with footage and a decision.

Email info@svc.group with sample footage, the event to detect, current review process, and the action that should follow. We will help define a technically useful evaluation.