How does TeleportHQ's Vision API work in converting hand-drawn wireframes

Vision API

The TeleportHQ Vision API is a computer vision API specifically trained to detect atomic UI elements in pictures of hand-drawn wireframes[1]. It uses an architecture based on Resnet101 for feature extraction and Faster R-CNN for bounding-box proposals[1].

The machine learning model was built and trained using TensorFlow[1]. It can distinguish the following elements:

- paragraph, label, header, button, checkbox, radiobutton, rating, toggle, dropdown, listbox, textarea, textinput, datepicker, stepperinput, slider, progressbar, image, video[1]

Hand-Drawn Wireframe Conversion

One of TeleportHQ's most unique features is its ability to convert hand-drawn wireframes into digital designs[3]. Users can sketch a basic layout, and the platform's Vision API will generate the design using AI-generated code[3].

Workflow

1. User draws a wireframe on paper or a digital drawing tool
2. The hand-drawn image is uploaded to TeleportHQ's Vision API
3. The API detects and identifies the UI elements in the wireframe using its machine learning model
4. TeleportHQ generates a digital design based on the detected elements, creating a fully functional prototype[3]

This process allows users to quickly transform their ideas into working prototypes, reducing development time significantly[4]. The generated designs are also responsive and optimized for performance[3].

By leveraging AI and computer vision, TeleportHQ's Vision API makes artificial intelligence in web development accessible to everyone, regardless of their coding skills[4].