AI Vision & Edge Intelligence

NVIDIA Jetson camera and AI integration

Integrate agreed camera or video sources with AI inference on a specified Jetson configuration.

01

Inputs to provide

Jetson model, JetPack version, model files, camera interfaces, resolution, stream count and output API.

02

Scoped deliverables

Inference engine or build script, video pipeline, configuration, recovery logging and installation guide.

03

Acceptance method

Record throughput, end-to-end latency, memory, CPU/GPU use and stability for the agreed stream settings.

04

Scope boundaries

Camera supply, codec licensing and model training are separate. Stream performance depends on hardware and network.

From review to delivery

  1. 01Requirements and material review
  2. 02Proof of concept or prototype
  3. 03Development, integration and testing
  4. 04Deployment, pilot production and maintenance

We review materials before confirming scope, price, schedule and acceptance in writing. Metrics depend on agreed hardware, samples and operating conditions. Hardware, third-party licenses, certification, site work and ongoing operations are confirmed separately.

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We review the materials and scope before confirming a quotation and implementation schedule.

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