AiVision

Role: Lead Developer & Designer
Tech Stack: Unreal Engine, C++, Blueprints, Custom Plugin Architecture
Type: Unreal Engine Plugin / Synthetic Data Tool

Overview

AiVision® is the world’s first synthetic training data development platform purpose-built for Data Scientists and Machine Learning Engineers with no coding or graphics experience required. I designed and developed the entire system as a modular Unreal Engine plugin, combining high-performance rendering with intuitive, no-code data control tools.

The platform enables users to generate large-scale labeled datasets using fully customizable scenes, objects, and logic—all without touching a line of code.

Key Features

• Unreal Engine Plugin Architecture
  Built entirely as a reusable and extensible plugin for Unreal Engine, leveraging both C++ and Blueprints for performance and flexibility.

• No-Code Interface
  Empowers non-technical users to create sophisticated synthetic datasets via an intuitive UI and visual logic tools.

• Automated Annotation
  Produces 100% accurate labeling, including bounding boxes, semantic segmentation, and instance segmentation.

• Dynamic Data Control
  Every variable—from object placement to lighting and camera positions—is exposed for user-driven configuration and randomized variation.

• Standard + Custom Export Support
  Outputs annotations in common formats like COCO and KITTI, with support for custom schemas as needed.
  
  

Impact

AiVision® bridges the gap between powerful real-time rendering and accessible AI tooling. By removing the need for programming or graphics expertise, it makes high-quality synthetic data generation available to a much broader audience—dramatically accelerating model training and iteration cycles.