Tiny Machine Learning-Powered Smart Building Facade Tile Inspection Robot
This research developed an intelligent building exterior tile inspection robot, designed based on the movement patterns of geckos and inchworms. The front and rear tapping mechanisms are inspired by the pecking motion of woodpeckers. The robot is equipped with AI vision recognition and AI acoustic recognition, using a tiny AI camera and tapping device to detect defects. TinyML and CNN technologies are employed for data processing, and the system can transmit inspection results in real-time. This robot is the first in Taiwan to apply tiny machine learning to building exterior inspection.
Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks
Combining multi-spectral satellite imagery and machine learning methods to establish automatic identification system of landslides and factor analysis of typhoon events
Using Machine Learning to Assist in Building Earthquake Impact Assessment
"1) Integrating AI recognition, IoT, and blockchain into traceable software and hardware for recycling UCO 2) Cutting-edge 3D learning platform powered by Spatial AI 3) Optimize use of existing buildings by making them transformable and adaptive to human needs at the click of a button 4) Non-contact image analysis and calculation technology to capture vital signs through dynamic face detection"
Technology maturity：Prototype
Exhibiting purpose：Display of scientific results
Trading preferences：Negotiate by self
Coming soon!