AWS Spatial Computing Blog
Category: Artificial Intelligence
Building Production-Ready 3D Pipelines with AWS Visual Asset Management System (VAMS) and 4D Pipeline
Discover how AWS Visual Asset Management System (VAMS) orchestrates 3D assets from design tools to customer channels, with a proof of concept demonstrating automated pipeline processing and real-world implementation. Overview AWS Visual Asset Management System (VAMS) functions as both a Digital Asset Management (DAM) system and a 3D-aware orchestration layer. VAMS can act as the […]
A Maturity Level Framework for Industrial Inspection Report Automation
Introduction Vision systems are increasingly being deployed for industrial inspection. Mounted on drones, ground robots, or integrated into fixed and portable monitoring cameras, these systems capture massive volumes of 2D and 3D data that must be processed to yield actionable insights. Advances in computer vision—enhanced more recently by AI and agentic AI—are transforming what was […]
Partner Spotlight: How Treedis Powers the Connected Worker with a Spatially Aware Digital Twin on AWS
Introduction The factory of the future isn’t built on machinery alone; it’s built on a connected, empowered workforce. Treedis helps you build that future with our Connected Worker product – a no-code solution built on AWS that uses the power of the digital twin to overcome modern industrial challenges. Image showing Connected Worker Solution and […]
Build a Spatial Object Tracking Pipeline with Create ML using Amazon EC2 Mac Instances
Introduction Apple’s Create ML enables developers to train powerful machine learning models without deep machine learning expertise, simplifying the path from concept to production. A new feature with Apple’s Create ML tool enables object tracking to be trained directly from the command line, unlocking faster and more scalable workflows. This is especially valuable for teams […]
AI-Powered Construction Document Analysis by Leveraging Computer Vision and Large Language Models
TwinKnowledge collaborated with AWS’s PACE team to develop a scalable computer vision and Large Language Model solution that efficiently processes thousands of architectural drawings while maintaining high accuracy, helping to reduce construction document errors and improve project efficiency through AI-augmented human review processes.
Creating Extended Reality (XR) Applications on AWS
Introduction This blog post introduces readers to creating extended reality (XR) applications on Amazon Web Services (AWS). As XR technologies like virtual reality (VR), augmented reality (AR), and mixed reality (MR) continue to advance and become more accessible, their potential to transform various industries and applications is undeniable. AWS offers robust services and tools that […]
AWS at the 15th Annual Augmented World Expo (AWE) June 18-20, 2024
Next week kicks off the 15th annual Augmented World Expo (AWE) in Long Beach, CA! AWE is the one of the premiere conferences for everything Spatial Computing, including: Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) (collectively referred to as Extended Reality (XR)); as well as supporting technologies such as Artificial Intelligence (AI), […]
Live Translations in the Metaverse
BUILD, DELIVER, MANAGE BLOG SERIES: DELIVER Imagine putting on your Virtual Reality (VR) headset and communicating with people from around the world, who natively speak French, Japanese and Thai, without a human translator. What if a fledgling start-up could now easily expand their product across borders and into new geographical markets by offering fluid, accurate, […]







