Ava Capture

screenshot of Ava Capture

Ava Capture is a distributed system to control and record several cameras from a central UI. This system would typically be used for a photogrammetry or 4D capture rig based on Ximea cameras.

Overview

The Ava CaptureSEED system is an innovative solution designed to enhance the control and recording of multiple cameras through a centralized user interface. This cutting-edge technology is particularly beneficial for photogrammetry and 4D capture, making it a vital tool for creators in the industry. Utilizing Ximea cameras, Ava CaptureSEED provides a seamless experience for managing complex capture setups while ensuring all metadata is stored in a robust database.

With three main components—Ava Capture Node, Ava Website Frontend, and Ava Website Backend—this system is crafted for versatility and efficiency. The distributed nature of Ava Capture enables easy collaboration and data processing, making it an essential addition for teams focused on high-quality media production.

Features

  • Distributed Control: Manage and record multiple cameras from a centralized UI, simplifying complex setups.
  • Robust Metadata Storage: All capture metadata is securely stored in a centralized database, ensuring data integrity and easy retrieval.
  • Cross-Platform Compatibility: The Capture Node has been tested on both Ubuntu and Windows, providing flexible deployment options.
  • Custom Processing Pipelines: Implement specific workflows with the Job Client feature, allowing tailored processing of captured data.
  • Angular Frontend: A single-page application built using Angular 2, offering a modern and responsive user experience.
  • Docker Support for Frontend Build: Simplify the build process using Docker to manage Node.js and NPM installations seamlessly.
  • Django Backend: The backend can run on any web server, with easy setup for development using Django, ensuring quick deployment.
  • User-Friendly Interface: The system is designed with an intuitive interface, making it accessible for users with varying technical expertise.