Our system uses several cameras to turn people and their surroundings into accurate 3D models, making complicated scenes easier to work with. We believe in keeping advanced technology accessible for everyone.
About Client
Our client wanted to record life movements and settings to build digital avatars and environments that look true to life. After discussing their needs, we worked together to create a custom AI 3D modeling system designed for them.
Challenge
Accurately creating 3D human models from live camera feeds was hard. Getting smooth, natural movement indoors and outdoors needed more than old methods. We used AI to fix these issues.
Our Solution to Get their Desired Results
Our AI Team built a Python app with a user-friendly design and room to grow. The app captures and processes live images using computer vision algorithms, like those from NVIDIA, and is set up to add new features in AI 3D modelling.
3D Movement
We built custom solutions for smoother animations that overcome limits in creating lifelike 3D human movements.
Scarcity
There were few open-source 3D models for Python. We had to create workarounds, like custom converters.
Balancing
Combining detailed 3D graphics with the heavy load of deep learning was a tough technical challenge.
What it can do
Indoor Modeling
Depth-sensing cameras captured detailed building models. Digital humans made with deep learning were then moved around inside these structures.
Processing
Using a NVIDIA Tesla GPU, the system managed multiple video streams and processed them.
Outdoor Modelling
The team used computer vision to detect human figures from live feeds and then placed those models into a moving 3D world.
Summary
Our system uses several cameras to turn people and their surroundings into accurate 3D models, making complicated scenes easier to work with. We believe in keeping advanced technology accessible for everyone.
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