Real-Time On-Device
Deep learning-based
Computer Vision
Nalbi is in the front-line of researching and developing state-of-the-art deep learning-based computer vision proprietary technologies that are highly customized and optimized for embedded systems.
NALBI's
core technologies focus on creating virtual humans on a mobile device in real-time.
Face Reenactment
Combining the advantages of a 3D engine and Deep-Learning methods, NALBI enables a higher degree of freedom in motion.
3D Motion Capture
Applied 3D mesh to perform full body tracking.
On-Device & Real Time
It can be done on mobile without exorbitant professional equipment.
Reimagine
Everyday Life
Face Reenactment
Able to express a high degree of freedom in head angle and delicate facial expressions through the 3D engine and Deep-Learning methods.
3D Motion Capture
Perform real-time and highly accurate full-body tracking without professional equipment.
Depth map upsampling
Depth Map Upsampling- Utilizes 4K RGB images and a low-resolution depth map to attain a high-resolution depth map.
Face&Age Recognition
Face & Age Recognition- Estimates sex and age through face scan on the Cortex-M7 MCU (for device personalization usages).
Human segmentation
Separates a human object from the background in real-time from imported images and videos.
Depth estimation
Approximates relative depth on a single RGB camera via neural networks. @ARM CPU or Mobile GPU
Single-RGB Bokeh
Produces a natural bokeh effect with a single RGB image. (Blur Intensity Control and Focus Point function)
Hair segmentation
Segregates the hair area in real-time. @ARM CPU and dyeing effect @ Mobile GPU (OpenGLE2.0)
NALBI Newsroom
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JOB OPENINGS
Join our team, Make an impact! Let's NALBI!
