Spatial Recognition with Robotics using Autonomous database for spatial studio based on A.I and Machine Learning
Jalal, Syed Naveed (2021)
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021122090132
https://urn.fi/URN:NBN:fi:amk-2021122090132
Tiivistelmä
This is a project-based research document based on using modern tools of technology to bring better safety, navigation, and overall ship orientation by recognition of space around to help the future autonomous shipping industry. A system will be designed with help of underwater robots as well as aerial vehicle to be used as input devices of data. Once data collected from around the space will be sent to an autonomous database center.
The autonomous database center which will be based on A.I and machine learning capabilities will prepare, sort, and configure it for right useful purposes.
The data can further be delivered to either remote operating center to run analyses with spatial studio software to draw predictions based on Artificial intelligence and machine learning to make safety warnings.
Robots will be run in simulation environments with required sensor fusion to collect big data information that will be sent to autonomous database warehouse by oracle. The data collected, will be sort prepared and configured by autonomous data warehouse tool by oracle with an open-source dataset. An open-source model dataset will be used to do the final post processing in spatial studio to draw and map spatial predicted results.
The autonomous database center which will be based on A.I and machine learning capabilities will prepare, sort, and configure it for right useful purposes.
The data can further be delivered to either remote operating center to run analyses with spatial studio software to draw predictions based on Artificial intelligence and machine learning to make safety warnings.
Robots will be run in simulation environments with required sensor fusion to collect big data information that will be sent to autonomous database warehouse by oracle. The data collected, will be sort prepared and configured by autonomous data warehouse tool by oracle with an open-source dataset. An open-source model dataset will be used to do the final post processing in spatial studio to draw and map spatial predicted results.