From Video to 3D Modeling: Photogrammetry with AR Code Object Capture on MacBook M-Series
Apple ARKit | 04/07/2025 |
Our AR Code Object Capture app is now compatible with MacBook M-series devices operating on macOS 15.0 or later. This update significantly broadens our service, providing instant 3D modeling and AR QR Code generation to roughly 100 million MacBook M-series users. This leap extends past our previous Web Interface and the existing iPhone and iPad versions of the application.
For this launch, we revisited our roots with our original demonstration—a 3D scan of a Wallace Fountain that captivated 10 million viewers last year.
What's New in AR Code Object Capture for macOS
No LiDAR Needed
The macOS app leverages traditional photogrammetry to create impressive 3D models from photos or videos without requiring LiDAR, similar to our web interface version of the tool.
M-Series Performance
Harness the power of Apple’s M-series chips utilizing photogrammetry. Our app is crafted specifically for these devices, offering swift 3D modeling and AI object extraction. All processes occur locally to guarantee privacy and efficiency.
Accessible and Versatile
Whether your interests lie in restaurants, museums, marketing, or urban planning, the app streamlines the creation of immersive AR QR Code experiences. Compatible with Apple, Android, and AR/VR devices—no app download necessary—due to our advanced Low-Power SLAM technology.
Revolutionizing Industries, One AR Code at a Time
Our SaaS platform generates an AR Code from a 3D scan every two minutes, offering transformation opportunities across these sectors:
- Cultural Preservation: Capture and showcase intricate 3D models of heritage artifacts.
- Retail and Marketing: Boost customer engagement through AR-enhanced experiences.
- Urban Development: Visualize infrastructure projects and environmental data using AR.
With the macOS version, enterprises can efficiently process drone footage to create impressive 3D models, ideal for environmental monitoring, infrastructure design, and aerial mapping.
From Drone Video to Immersive AR Experience
To exhibit the potential of our macOS app, we converted a drone video of a Mayan pyramid into a photorealistic 3D model using the app’s photogrammetric technique. This 3D model is accessible in augmented reality via an AR QR Code, illustrating the app’s proficiency in transforming raw data into enriching, shareable experiences.
Why AR Code Object Capture?
Integrating AR into your business has never been easier. With AR Code Object Capture, you can:
- Generate 3D models using just a camera—no special equipment needed.
- Craft unique AR QR Code experiences tailored to your target audience.
- Create AR experiences accessible across any device, from smartphones to headsets.
Unlock the full potential of augmented reality for your enterprise with AR Code Object Capture. Available on our SaaS platform, MacBook M-series, iPhone, and iPad, embark on creating compelling, shareable AR experiences today and join the revolution.
Engage with the app and witness how AR Code Object Capture is revolutionizing interaction with the surrounding environment.
Frequently Asked Questions
What are the system requirements for AR Code Object Capture on macOS?
The app is developed for MacBook M-series devices running macOS 15.0 or later. By leveraging Apple’s M-series chips, it ensures swift and efficient 3D modeling and AI object extraction—no LiDAR is required.
How does the app create 3D models without LiDAR on MacBooks?
On macOS, the AR Code Object Capture app employs photogrammetry instead of LiDAR. It processes images or videos, pinpointing key areas and reconstructing them into detailed 3D models—all powered locally on M-series devices.
How can I share my 3D scans once they’re created?
After crafting a 3D model, the app automatically generates an AR QR Code. Anyone can scan this code to view your model in augmented reality—no app downloads are needed. These AR QR Codes can also be embedded into your website, social media, or printed materials to instantly share immersive AR experiences.
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