Projects
There are some of the Edge AI projects that we are working on the MESALab at UC Merced.
Neural Computer Stick (NCS) for edge deep learning
The NCS devices came to improve the computing ower of deep learning algorithm for multiple applications as face recognition or object detection. In MESALab, we are working to use this devices to improve the performance of process control using this NCS edge devices.
Failure detection and real time data analytics on industry 4.0
Industry 4.0 demands the introduction of novel failure detection algorithms that improve the productivity reducing plant stops with a better understanding of the process behaviorn using real time data analytics of the process data streams.
Autonomous vehicles and precision agriculture
The extended capabilities given by Edge AI can power precision agriculture and autonomous vehicles applications to improve the vehicles navigation as well as the crops quality monitoring and Real-Time analysis
Digital Twin (DT)
Digital Twin is a virtual representation of a real system, which employs a set of physic based, ddata-driven and AI techniques to replicate the system behavior and update it in real time. In The Edge AI we are working towards a DT integration in real time powered by edge and embedded devices for control systems
Self Optmizing Control
Self optimizing control is a control strategy that performs real time optimization to improve the closed loop performance of a closed loop system. In the Edge AI we are working on developing real time optimization algorithms that can improve real processes in the industry,
Autonomous vehicles and precision agriculture
The extended capabilities given by Edge AI can power precision agriculture and autonomous vehicles applications to improve the vehicles navigation as well as the crops quality monitoring and Real-Time analysis
Artificial intelligence and edge computing for smarter controls
The EDGE AI
