INDEPENDENT AI DEVELOPMENT

Your device.
Your project.
AI that fits.

Visual AI modules, edge deployment and software integration. A focused development partner for small teams with a real project to deliver.

RK3588 software foundationProject-based collaboration
FROM INPUT TO INTEGRATION

Video & images

Cameras · streams · files

Visual AI module

Detect · track · read

Results in your system

Structured data · events · video

A workflow illustration. The solution is scoped around your device, data and acceptance criteria.
A SPECIALIST FOR YOUR TEAM

You bring the product and the project.
We build the AI part.

For hardware developers, inspection teams and software integrators who need a defined AI module without building an entire in-house AI team.

01 / SERVICES

A clear role.
A useful deliverable.

Visual AI modules

Object detection, tracking and OCR, connected to a practical workflow rather than a standalone model.

Task definitionModel integrationStructured results

Edge deployment

Bring visual AI into an RK3588 device, connect video sources and make results available to your existing system.

RK3588Video pipelinesSystem integration

AI applications

Focused business tools, applications and websites that turn an AI capability into something your users can use.

Workflow toolsAPIsBusiness interfaces

Jetson and other platforms can be assessed for a specific project. Platform compatibility and migration effort are confirmed before a delivery commitment.

02 / SOFTWARE FOUNDATION

Start with a working
edge software foundation.

Existing Linux / RK3588 development brings video input, inference, post-processing and operations into one service. A new task still needs sample-based validation.

INPUT

Connect the source

  • USB cameras
  • RTSP & video streams
  • Images & local video
  • DJI Edge SDK integration
PROCESS

Extract useful signals

  • Detection & tracking
  • OCR & keyword rules
  • ROI filtering
  • Model configuration
INTEGRATE

Make results usable

  • Structured results
  • MQTT & HTTP integration
  • Result video output
  • Web operations & health checks
03 / PROJECT DIRECTIONS

Where could it fit?

Starting points for a discussion — these are application directions, not customer case studies.

UAV inspection

Connect inspection imagery to object detection, tracking or a task-specific review workflow.

Industrial cameras

Explore visual inspection, text recognition and event output around the data your cameras capture.

Edge AI boxes

Build a local video and inference service into a compact device with practical operating controls.

AI business tools

Add a defined AI step to an application, internal tool or customer-facing website.

04 / COLLABORATION

Small steps.
Clear acceptance.

Begin with a specific task and a small paid validation. Agree on the scope before committing to full development.

HOW THE COLLABORATION WORKS

Project-based development with agreed milestones and deliverables. English and Chinese written communication are welcome.

  1. Define the task

    Share the device, target behavior, representative samples, budget and timeline. We establish what a useful result looks like.

  2. Validate with samples

    Use a scoped paid validation to check the approach, constraints and integration path. Agree on the next step from the evidence.

  3. Develop the module

    Implement the agreed AI component and interfaces. Review progress against the defined milestone and test samples.

  4. Document & accept

    Deliver the agreed code or package, deployment instructions and acceptance results. Ownership, licensing and support are agreed in the project scope.

BEFORE WE START

A few practical details.

Can you take only the AI part of our project?

Yes. A defined AI module, deployment task or integration package is a good starting point. We agree on inputs, outputs and acceptance criteria so it can fit into your broader project.

Can you promise the accuracy or speed we need?

Only after examining representative samples, the target device and the task. New tasks begin with validation, and acceptance criteria are agreed before full development.

Is the work limited to RK3588 or drones?

No. The existing edge software foundation is on RK3588. Jetson and other platforms need a project-specific assessment. Camera systems, compact edge boxes and AI applications are also possible directions.

What should we share first?

The device, the task, sample data, budget range and timeline. For sensitive samples, first send a short description; agree on a suitable sharing method and confidentiality terms before transferring data.

LET’S MAKE THE NEXT STEP SPECIFIC

What are you
building?

A short project description is enough to begin. We can then assess the fit, schedule and scope together.

EMAIL YOUR PROJECT
Open an email

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FIVE DETAILS TO GET STARTED
  1. Device

    Board, OS, camera or video source

  2. Task

    What the AI should recognize or do

  3. Samples

    Available images, videos or examples

  4. Budget

    Expected range or a validation budget

  5. Timeline

    Target date and current project stage

Hello SmartWebPark AI,

I would like to discuss an AI project.

1. Device / platform:
2. AI task and expected result:
3. Available samples:
4. Budget range:
5. Timeline / project stage:

Company / name: