Project Aria: A New Tool for Egocentric Multi-Modal AI Research

TL;DR

This paper introduces Project Aria, a wearable egocentric multi-modal data collection device designed to advance AI research for future AR applications, emphasizing hardware and software tools for data recording and processing.

Contribution

We present the design and implementation of the Aria device, a novel hardware and software platform for egocentric multi-modal data collection to facilitate AI research.

Findings

Successful development of the Aria device hardware

Comprehensive software tools for data recording and processing

Enabling new research opportunities in egocentric AI

Abstract

Egocentric, multi-modal data as available on future augmented reality (AR) devices provides unique challenges and opportunities for machine perception. These future devices will need to be all-day wearable in a socially acceptable form-factor to support always available, context-aware and personalized AI applications. Our team at Meta Reality Labs Research built the Aria device, an egocentric, multi-modal data recording and streaming device with the goal to foster and accelerate research in this area. In this paper, we describe the Aria device hardware including its sensor configuration and the corresponding software tools that enable recording and processing of such data.