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MEDIA & COMPUTER VISION · Production build

Automated Video Production

Turn source assets into finished videos on autopilot.

FFmpegComputer Vision QCPythonMedia Pipelines

The problem

Producing dozens of customized media assets manually takes hours of tedious editing, encoding, and error-prone quality checking.

What we built

We engineered an automated pipeline that ingests source photos, generates motion beats, composites overlays and branding, and enforces multi-point visual review before dispatch.

What the evidence shows

Built automated walkthrough pipelines producing 8s, 30s, and 60s video cuts with automated CV checking for burned-in marks, aspect ratios, and frame transitions.

Scope of this example

A working video generation pipeline does not guarantee viral reach. Video quality is checked deterministically against specific visual criteria prior to delivery.

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