Summary: Vision Elements conceived and built the 3D reconstruction and flow-analysis technology that lets CathWorks' FFRangio System compute fractional flow reserve from standard angiograms during a catheterization, without a pressure wire. The challenge Coronary artery disease is a leading global cause of death. Fractional flow reserve (FFR) measures the pressure drop across a narrowing; values below 0.75–0.80 predict ischemia. Wire-based FFR needs a pressure guidewire, a hy

Summary: A reference sensor and a second coordinate transform let 2D ultrasound slices captured before and after patient movement be registered into one organ map instead of discarded. The challenge Clinicians building a 3D map of an internal organ sweep a handheld ultrasound probe across the body and register each 2D slice into a shared frame using a six-degree-of-freedom electromagnetic navigation system. The navigation system reports positions relative to its own transmitt

Summary: By treating the antenna as a planar circle, Vision Elements replaced two-view stereo matching with a single-image least-squares solve, giving the client a faster proof of concept and more accurate results. The challenge The client maps antenna poles by drone for maintenance and real-estate management; drone surveys cover large or hard-to-reach sites at lower cost and shorter turnaround. They needed each circular antenna's 3D orientation. Standard 3D reconstruction ne

Medical-imaging companies rarely fail because their clinical idea is wrong. They fail because the algorithm that worked on fifty curated studies doesn't survive contact with real-world data, real-world optics, and real-world regulatory scrutiny. That's usually the moment a team starts looking for a computer vision consulting partner — and discovers it's hard to evaluate one. Having spent more than fifteen years doing this work, here's our honest guide to what matters. What do

Vision Elements and partners celebrated the graduation of Haile-Scale's second cohort at Reichman University — including a ₪10,000 demo-day prize for AfriX and an address by Prof. Uriel Reichman.

February 2026 | Vision Elements We are immensely proud to congratulate CathWorks , our portfolio company, on its acquisition by Medtronic (NYSE: MDT) — one of the world's largest healthcare technology companies. This landmark milestone, valued at up to $585 million , is the culmination of over a decade of relentless innovation at the intersection of computational science, artificial intelligence, and interventional cardiology. As the team that conceived and built the foundat

When companies need custom AI solutions for image generation, computer vision, or automated content creation, they quickly discover that simple prompt-based tools aren't enough. Production-grade AI workflows require fine-tuning, model orchestration, and systematic engineering—which is why platforms like ComfyUI have become essential for professional AI development. Understanding Custom AI Workflow Development with Node-Based Systems ComfyUI represents a critical shift in AI

The buzz around quantum computing has reached fever pitch. Tech headlines promise revolutionary breakthroughs: quantum computers will...

The story of 3D reconstruction follows a familiar pattern: neural networks arrive, everything changes overnight, and the field never...

We’re excited to share that our presentation from the 2024 Embedded Vision Summit is now live and exclusively published by the Edge AI...

As we begin this academic year, we are pleased to celebrate the launch of the first cohort of the Haile-Scale program. Congratulations...

This blog post walks you through the intricacies of migrating an AWS instance from one region to another for a more powerful instance.

This post focuses on a more efficient way to develop on AWS instance remotely using PyCharm.

In part 3, we will create EBS volume, connect it to the AWS instance, and upload data to the instance.

This blog delves into the mechanisms of sequential optimization, focusing particularly on its application in the context of Edge computing.

In this blog, we'll dive into the intricacies of prompt engineering and how it shapes the interactions with large language models (LLMs).

In Part 2 we walk through the steps that our engineers take to establish a graphical interface remote desktop connection while using AWS.

In this series of tutorials, we will take you through the steps we have adopted to develop deep learning on AWS.