Get started with Local Edition

Follow these steps to get started with creating your vision AI solution using Local Edition

Install Local Edition

Download and install Local Console and Brain Builder for AITRIOS

Have one of the following supported edge devices ready:

Sony AIH-IVRW2

Rayprus CSV26

Install Local Console ❯

Manage your edge device locally with an intuitive interface for setup, monitoring, and control.
Key functions: device registration, status checks, firmware updates, model deployment, inference monitoring, and testing.

Install Brain Builder for AITRIOS ❯

Streamline AI model development for edge devices with a visual low-code environment.
Key functions: dataset management, training, annotation, and analytics.

Related docs

Install Local Edition for AIH-IVRW2 ❯

Install Local Edition for CSV26 ❯

Install Brain Builder for AITRIOS ❯

Video tutorial

Install Local Console

Connect the device

Set up your edge device and connect it to Local Console

Install the edge device and connect it to the same local area network as your PC. Then launch Local Console and register the device by scanning a QR code.

Related docs

Install AIH-IVRW2 device❯

Install CSV26 device ❯

Connect AIH-IVRW2 to Local Console ❯

Connect CSV26 to Local Console ❯

Video tutorials

Enroll your edge device

Develop AI models

Create datasets, train, and evaluate AI models with Brain Builder for AITRIOS

Launch Brain Builder for AITRIOS, and start creating and preparing images for training. Here, you can create classifier or detector AI models. When you are satisfied with the evaluation results, export the optimized classifier or detector package and deploy it directly to your edge device, ready for inference.

Related docs

Capture images for AI training ❯

Create a classifier AI model ❯

Create a detector AI model ❯

Deploy AI model to edge device ❯

Video tutorials

Capture images for AI training

Create a classifier AI model

Create a detector AI model

Deploy an AI model to the edge device

Visualize data

Make your first inference

Once deployed, start the camera feed to test your model in real time. Capture sample images and review the inference results directly in the Local Console. Use these insights to refine your training data and improve your model’s accuracy.