Multi-Camera Video Analytics & Model Integration

A multi-camera video analytics service for a private enterprise setting. The system connects video streams to model inference, operational event processing, monitoring, and APIs. Client and site details are omitted.

SolveUnit was responsible for the overall algorithm work under the supervision of its lead. The work included model integration, video ingestion, event processing, resource monitoring, and deployment support.

The team investigated bottlenecks in streaming, scheduling, buffering, rendering, and memory use. The work included isolating stream processes, bounding queues, reviewing GPU and CPU resource use, and preparing deployment safeguards.

Deployment and short-window validation records document implemented improvements and operational checks. The tests were not a controlled same-load comparison; the records do not establish sustained overnight capacity or a guaranteed per-camera throughput. This case describes engineering work and documented validation, not an independently audited capacity claim.

The cover is an AI-generated illustrative scene. It represents the application type and does not show client footage or provide inference evidence.