SatShipAI

SatShipAI

Enhancing maritime surveillance

with satellite data and Artificial Intelligence

Maritime Surveillance

Automatic Identification System is not sufficient

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Consistent maritime surveillance for detecting illegal activities in the oceans remains an open problem: piracy, smuggling, pollution, and illegal fishing are only some of the activities involving rogue vessels that are taking place every day in the vast open seas.

The Automatic Identification System (AIS) mainly used for maritime surveillance, beyond its range limitations, is a co-operative system; that means that rogue actors can always switch off their onboard AIS transponder, or even spoof it, thus becoming “ghost ships”.

Utilizing state of the art Artificial Intelligence, SatShipAI provides ship detection, type classification, and size estimation in wide-swath satellite imaging, starting from the open & freely available Sentinel-1 data.

So, if you are after illegal fishing vessels, smuggling cargo ships, or tankers violating sanctions & embargos, SatShipAI offers a complementary tool for detecting & tracking your targets in wide-swath satellite imaging, operating on data for which no additional acquisition cost is required.

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The Team

Christos Iraklis Tsatsoulis is the Lead Data Scientist with Nodalpoint Systems and a competitions master in Kaggle. Prior to that, he was a senior engineering officer in Greek Air Force, where he served for more than 20 years, mainly as an electronic warfare engineer, technical advisor to the minister of defense, and UN peacekeeper & field commander in Africa. He holds graduate degrees in applied math, engineering, computing, and war studies. A Chartered Engineer & Chartered Manager in the UK, Christos volunteers as a Coursera mentor and Stack Overflow contributor, where he is a top-10 respondent on topics related to machine learning.

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Costas Voglis is a Senior Data Scientist with Nodalpoint Systems. He holds a PhD in computer science and has published more than 25 research articles in peer-review scientific journals & conferences, mainly on numerical optimization, machine learning, and parallel algorithms. Costas has co-authored several software packages for numerical optimization, while one of his research publications has been implemented and integrated into the optimization routines of SciPy, the highly popular scientific computation library of Python. He is a competitions master in Kaggle, where he currently ranks in the top-200 among more than 110,000 Kaggle data scientists worldwide.

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After completing a BSc in geology and an MSc in oceanography, Ioannis Nasios turned to advanced data analysis & machine learning; today he is a Data Scientist with Nodalpoint Systems and a competitions master in Kaggle, where he currently ranks in the top-250 among more than 110,000 Kaggle data scientists worldwide. He frequents Stack Overflow, where he shares his knowledge and expertise on machine learning and deep neural networks.

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