This technology is a new microarray chip sensing technology that integrates "organic light-emitting diodes", "liquid crystal chemical sensors" and "mobile communication system" into "multifunctional liquid crystal smart cloud sensors". The obtained signals are uploaded to the cloud for multi-dimensional analysis to achieve multiplex detection in one single sample. This sensor device is lightweight, low-cost, simple to operate, and the target-of-interest can be custom-made according to user needs.

Our team construct an AIoT smart aquaculture management system. The management system mainly consists of: (1) Image Behavior MonitoringAnalysis Subsystem (2) Smart Feeding Subsystem (3) IOT Subsystem including underwater sensors, ROV,Drone (4) Cloud Subsystem (5) Big Data Analysis Subsystem.

The smart graphene (Gr) sensor developed by this team is self-assembly arranged through Gr. No traditional polarization process is further required due to use of high conductivity of Gr. Further, because of the conductivity of the Gr sensor itself, no additional electrodes are required for collecting the mechanical-electric signals.The process of manufacturing the piezoelectric film can be simplifiedthe cost of process reduced. Moreover, the Gr sensor can be directly coated on materials with different curved shapes and, the sensitivity of the direct-coated sensor can be greatly enhanced.

This technology develops an intelligent surgical pressure detection system, including a pressure sensing element embedded in a surgical cotton pad, a signal reading device,a big data analysis database. The measurement data can be transferred to the AI big data database. Using AI technology, the surgeon＇s force can be recognized in real timethe calculation result can be immediately returned to the system APP. Let the surgeon who performs the operation get the most real-time information, which can avoid organ damage during the operation,effectively protect the safety of patientsthe rights of physicians.

Devices with physical flexibilitystretchability have attracted a great deal of interest for use in wearable electronic technologylarge-area electronics, including displays, energy harvesters, energy storage devices, distributed sensor networks,Internet of Things applications. The present invention relates to methods for growingtransferring single-crystal III-nitride nanorodstwo dimensional transition metal dichalcogenides (2D TMDs) nanostructures,devices having the transferred nanostructures for flexible device, microLED,3DIC fabrications.

In this study, the embedded LiDARAI recognition of smart headlight for autonomous driving is demonstrated. At driving process, the vehicle can provide artificial intelligence to identify the type, distancespeed of the object to be measured based on the fusion data of the LiDAR point cloudoptical image of the environment,then feedback to the headlight control system. Finally, this smart headlight would perform the suitable lighting mode during the daynightfit the automotive lamp safety regulationsstandards (ECE R112SAE J3069).

Although masks protect us from COVID-19, they cover a substantial portion of the face,eliminates important facial expressions during communications. EmoMask is a human-AI collaborative mask that mediates these interactions in mask-wearing environments through emotion-aware sensorsAI algorithms, which works with humans to create facial expressions. The EmoMask system identifiesdifferentiates expressions using TinyML-based AI algorithm,conducts real-time classificationsregressions to create matching facial expressions during a communication while faces are covered.