Recent technological revolutions linked to the “Big Data” phenomenon, robotization, virtual reality, artificial intelligence (AI) will multiply our observation capacities and allow us to quantify biophysical or social phenomena beyond our 5 senses on multiple spatial and temporal scales.
The challenge aims to provide the answers to effectively understand and “intelligently” exploit the massive data flows that our customers will face.
I-SEE airborne observatory is committed to developing a real strategic framework for implementing R&D efforts in the field of AI to solve complex problems and accomplish tasks usually performed by humans. The availability of large amounts of data, combined with methods based on machine learning, make it possible to impart knowledge to machines.
This understanding of information by an AI makes it possible to effectively increase the exploitation of information by limiting both the computing resources employed and by considerably reducing the processing time. For example, it can be applied to the analysis of aerial images or videos to automatically detect and identify objects.
Coupled with Deep Learning, our solutions will make it possible to develop predictive solutions by analyzing past experiences to act more effectively.
This approach promises substantial productivity gains while limiting the risk of error. Indeed, the machine aims to relieve the human operator so that he can concentrate more on his analysis work by performing complex and repetitive tasks.
Aerial observation coupled with AI will considerably change our way of understanding the complex problems to be managed and allow us to play a leading role in the face of climate issues.