As people nowadays value air quality more, CameoAir build regional monitoring networks, thus making us able to track and control cross-regional air pollution all over Taiwan.

Through highly concentrated environmental monitoring IoTs, domain knowledge of environmental governance, and Artificial Intelligence technology, we are capable of analyzing environmental sensing data by time and space, to the scale of minutes and streets/blocks, building environmental monitoring networks. With AI machine learning, we can strengthen the government’s supervising capability on particular pollution sources.

With AI analyzing potential area of pollution emissions, we can traceback the timeline to simulate and visualize potential pollution emission events and areas by combining heterogeneous data. Then we can provide our simulation to government departments for potential strategic decisions.