EveryPoint

Physical AI for the real world. Computer vision that sees and measures the physical world, on-device at the edge. #PhysicalAI

[EveryPoint @EveryPointIO]

At @EveryPoint, we are building a new generation of spatial tools for industry and enterprise. Over the next several months, we will be telling the story of what we are building. #spatialcomputing #digitaltwin

[EveryPoint @EveryPointIO]

Onboarding, reversed: a customer shares a photo of a hand-drawn stockpile yard, and an AI assistant turns it into sites, materials, bunkers, and piles in Stockpile Reports. In our demo it asked before it wrote anything.

https://t.co/UsNM6m8BYv

[EveryPoint @EveryPointIO]

AI is moving from models that answer questions to agents that take action. An agent that acts on the physical world needs a number it can trust about the physical world.

That is the work of Physical AI. Where an operator with an AI mandate should start: https://t.co/wq5mnvuNLs

[EveryPoint @EveryPointIO]

David Boardman, our CEO, presented at CDRA's Innovations & Advancements Spotlight this week — how computer vision + machine learning on an iPhone replaces the wheel-and-tape walk for C&D recyclers.

https://t.co/UIjTLE4V53

#CDRecycling #StockpileMeasurement

[EveryPoint @EveryPointIO]

Verified pile data is now callable by AI assistants. The Stockpile Reports® MCP lets Claude, ChatGPT, Gemini & Copilot answer questions grounded in your own measurements, not guesses. Physical AI, meet the agentic supply chain. Beta → https://t.co/CLOkozey8S #PhysicalAI

[EveryPoint @EveryPointIO]

We’re bringing Computer Vision Decoded to Pittsburgh!

Join us June 25 for an evening of 3D, CV, AI, and good conversation.

💡 Short talk by @JaredHeinly
📷 Networking with the local CV community

RSVP: https://t.co/hxa4Zluxx2
#computervision #3D #AI #robotics #Pittsburgh

[EveryPoint @EveryPointIO]

You don’t need a point cloud to generate a 3D Gaussian Splatting scene 🤯

We sat down with @ruilong_li, creator of gsplat—to break down how they works.

🎥 Watch: https://t.co/P648hQzsYu
🎧 Listen: https://t.co/hhFTPa9Cjo

#3D #ComputerVision

[EveryPoint @EveryPointIO]

In our latest episode of Computer Vision Decoded, we sat down with one of the leading researchers in 3D Gaussian Splatting, @ruilong_li. From fundamentals to hands-on implementation with open source tools - this is your complete 3DGS primer.
Episode drops soon!

#ComputerVision

[EveryPoint @EveryPointIO]

What is the best camera for 3D reconstruction? What are the pros and cons of each camera? We explore these questions in the latest episode of Computer Vision Decoded.

Watch: https://t.co/kf9b1PnBOO

Listen to the podcast: https://t.co/GgJXIrsXx6

#Computervision

[EveryPoint @EveryPointIO]

What’s the best camera for 3D reconstruction?
From SLAM to Gaussian splats, we break down all the major camera types in the latest Computer Vision Decoded.
🎥 Watch: https://t.co/QbGQtsVNNH
🎧 Listen: https://t.co/GgJXIrsXx6

#3D #ComputerVision

[EveryPoint @EveryPointIO]

What’s the best camera for your 3D reconstruction project? In tomorrow’s episode of Computer Vision Decoded, @JaredHeinly & @jonstephens85 break down cameras for photogrammetry, SLAM, Gaussian splatting & more.

Link drops tomorrow. Don’t miss it!
#ComputerVision #3D

[EveryPoint @EveryPointIO]

If you're trying to understand Structure from Motion, our latest Computer Vision Decoded episode is a great place to start. @JaredHeinly and @jonstephens85 walk through key concepts using COLMAP, so you can follow along with your own data.

Watch/Listen: https://t.co/GnwvxTAjeB

[EveryPoint @EveryPointIO]

🎧 Listen on your favorite podcast app: https://t.co/GnwvxTAjeB

▶️ Watch on YouTube: https://t.co/3M909UQNVc

[EveryPoint @EveryPointIO]

Ever wondered how Structure from Motion actually works? Our Chief Scientist @JaredHeinly and @jonstephens85 break it down step by step using COLMAP in our latest Computer Vision Decoded episode.

Links to listen and watch in 🧵

#ComputerVision #3DReconstruction #COLMAP

[EveryPoint @EveryPointIO]

🚀 Embrace the Chaos. Make an Impact. 🚀

At EveryPoint, there’s no roadmap—you help create it. We move fast, solve tough problems, and push the limits of 3D reconstruction & AI for our clients.

Sounds like you? We're hiring!
Learn more: https://t.co/dpOBNJBgRc
#Hiring #TechJobs

[EveryPoint @EveryPointIO]

🚀 We’re Hiring! 🚀
At EveryPoint, we move fast, solve tough problems, and own our work from start to finish. We require real impact, and a team that gets things done.

Hiring: Web App Dev, Mobile Developer, Product Designer

Apply now: https://t.co/dpOBNJAJ1E
#Hiring #TechJobs

[EveryPoint @EveryPointIO]

Link to audio versions: https://t.co/R069mzYGPu

[EveryPoint @EveryPointIO]

Is the new iPhone 15 and 15 Pro worth the upgrade for 3D scanning? We asked our Chief Scientist, @JaredHeinly for his take on the newest iPhones.

https://t.co/Ht8Pd0x7Wv
#ComputerVision #iPhone #3D

[EveryPoint @EveryPointIO]

🔥 A new episode of Computer Vision Decoded📷
@JaredHeinly and @jonstephens85 joined our special guest, @sitzikbs, to talk about implicit neural
representations!

Listen or watch the episode on your favorite player here: https://t.co/HTDijwWKtP #Computervision #neuralnetworks

[pointprecise @Pointprecise]

Download the @Pointprecise App to get a high-dense 3D #pointcloud for free. Check out the interesting result of this scan!
App Store: https://t.co/jJEqntjnwW
Web: https://t.co/XL9hpTixKb
#3dscan #realitycapture #laserscan #landsurveying #scantobim #lidar #photogrammetry #tech

[Jonathan Stephens @jonstephens85]

🎙️🤖 CALLING ALL COMPUTER VISION & MACHINE LEARNING PROFESSIONALS! 🤖🎙️

Are you passionate about computer vision or machine learning? Do you have an innovative project, fascinating research, or insightful knowledge to share? We want YOU to join us on our podcast, Computer Vision Decoded! 🚀

We're currently seeking guests who are breaking new ground in the world of computer vision, machine learning, and artificial intelligence. Whether you're a researcher, developer, entrepreneur, or simply a tech enthusiast, we'd love to hear your story! 🧠💡

By appearing on our show, you'll have the opportunity to share your insights with our engaged and growing audience, connect with like-minded individuals, and be part of a thriving community dedicated to advancing the field. 🌐🤝

If you're interested, send me a DM or email at [email protected] with a brief introduction and description of your work in the field (you can skip this is you know me). I can't wait to hear from you!

Let's decode the future of computer vision together! 🎧🔮

Interested in past episodes? You can find them all on your favorite podcast platform here: https://t.co/E9o4SZtG5M

#computervision #MachineLearning #AI #TechPodcast