← All updates
vision
Building the Innomium Vision Layer
How we turn existing camera infrastructure into real-time intelligence — without new hardware, cloud lock-in, or heavyweight models.
Innomium Vision Team · June 28, 2026
Every organization already owns cameras. The gap is not hardware — it is a production path from raw frames to reliable detections on the edge.
Why a vision layer matters
Retail sites, logistics yards, fuel forecourts, and public venues generate continuous video that rarely becomes actionable. Innomium's vision layer connects evaluation, training, edge inference, and mission applications into one pipeline teams can actually ship.
Four layers, one stack
- Evaluation & data — scene-specific benchmarks and builder challenges validate models on the conditions that matter, not generic academic splits.
- Training & distillation — compact YOLO-class detectors tuned for person, vehicle, and fire skills without multi-gigabyte footprints.
- Edge inference — ONNX exports under 20MB that run on CPU, embedded hardware, or directly in the browser.
- Mission applications — Sentinel, Vantage, and Ember package those skills for deployment.
The goal is simple: make every camera intelligent with models small enough for the edge and accurate enough for operations teams to trust.