AR Engine

AI core algorithm combined with augmented reality engine:

• Scene understanding based on deep learning of augmented reality engine, including face recognition, emotion recognition, action recognition, license plate recognition, and crowd analysis;

• Fast depth estimation of GAN network based on deep learning;

• 3D target segmentation and target tracking recognition algorithm based on deep learning.

Applied in the industrial field-to improve the efficiency of industrial production such as AR warehouse picking and ensure safety:

• Quick video identification and defect investigation.

Applied in the field of security - to realize smart law enforcement in multiple scenarios:

• Black and white list screening, rapid screening of abnormal behaviors and emotions.