01 · EDGE AI DEVELOPMENT

Vision models that
belong on the edge.

We shape detection, tracking and image-understanding workflows around the silicon, memory, thermal and latency realities of RK, HiSilicon and Novatek platforms.

Embedded SoC and camera module in an AI vision test environment

DEPLOYMENT STACK

The model, ISP and runtime should be designed as one system — not integrated as an afterthought.

RK · HiSilicon · Novatek

Model profiling across compute, memory and bandwidth

TARGET PLATFORMS

ISP → model → runtime

AI ISP tuning for scene-specific image quality

JOINT OPTIMIZATION

Latency · power · image quality

Deployment paths for RK, HiSilicon and Novatek SoCs

ENGINEERING TRADEOFFS

Where this work matters

Edge AI that survives the product constraints.

Algorithm development is most valuable when it follows the actual scene, camera and deployment target from the start.

Model feasibility

Expose memory, throughput and operator constraints before a model choice is locked into the product.

Scene integrity

Tune ISP and AI behavior together so the model sees a dependable image in the scenes that matter.

Release confidence

Create a measured deployment path instead of relying on desktop inference as proof of readiness.

PROJECT OUTPUTS

What the team receives

A practical handoff connects model behavior to the camera pipeline and target board.

Platform scorecard

Comparative notes for compute, memory, heat, latency and the software stack.

Image-to-model baseline

Documented ISP, preprocessing and inference settings for repeatable tuning.

Deployment package

Runnable artifacts, integration notes and the next experiments ranked by impact.

PROJECT PATH

Progress with evidence, not assumptions.

01
Frame the target scene
02
Profile viable models
03
Tune the image pipeline
04
Package the release

ENGINEERING QUESTIONS

The conversations that shape the system.

01Can an existing model be moved to an edge SoC?

Yes. We begin with profiling, identify unsupported or expensive operations, then shape the model and runtime around the chosen platform.

02How do you choose between RK, HiSilicon and Novatek?

The decision follows the sensor pipeline, target task, host interfaces, performance budget and path to volume — not a one-size-fits-all benchmark.

03Do you only provide algorithm code?

No. The work includes the image pipeline, runtime packaging and engineering notes needed to bring the algorithm into a camera product.

ORIVERX / CAPABILITIES / 01

Vision models thatbelong on the edge.