New AI Tech Makes 3D Scans Work Faster on Phones
Your phone could soon scan 3D spaces in real time without slowing down
Imagine your phone scanning your living room in 3D to help an interior design app—right now, that kind of processing is too heavy for most phones and takes too long. Researchers just figured out how to make those AI tools *much* lighter and faster.
They created H3DNAS, a new AI compression tool that works directly on pre-built 3D scan models (no original code needed), shrinking them by up to 65% without losing accuracy. It’s like taking a high-res photo and turning it into a smaller file you can open instantly—only for 3D data. The result: apps that use 3D scans could run smoother on phones, drones, or robots, using less battery and processing power.
This matters because today’s 3D scanning apps are often slow or require powerful computers. With H3DNAS, tools like virtual home staging, real-time robot navigation, or even self-driving car sensors could become faster and cheaper to use. The team tested it on popular 3D models and saw speed boosts of nearly 2x in some cases—without needing to rebuild the AI from scratch.
The catch? This is still early research, mostly for developers and tech companies. It could take a few years before you see it in everyday apps—but when it arrives, tools that feel clunky today might finally run smoothly on your phone or tablet.
- H3DNAS compresses 3D AI models by up to 65% without losing accuracy, making them faster and lighter to run on phones or robots.
- It works on pre-built AI models (no original code needed), unlike older methods that required rebuilding everything from scratch.
- Test results show speed boosts of nearly 2x on common 3D scanning tasks like recognizing objects in a room.
Why It Matters
Could make your phone’s 3D scanning apps (like room design or AR games) work instantly instead of lagging.