Navigation powered by artificial intelligence science – beyond what experience can offer.
Unlike on land, the sea is a dynamic, ever-changing environment, which requires the consideration of many variables during maritime navigation.
For this reason, experienced navigation experts are essential.
Seadronix analyzes and quantifies navigation expertise in the form of DATA.
Striving to realize an autonomous navigation and smart-port future through AI technology.
Having the core technologies applied successfully to small autonomous ships in 2018, we are conducting research and development to integrate them into large maritime vessels.
We continuously improve our autonomous ship technologies: location tracking, obstacle recognition, local map formation, and route creation and prediction.
Seadronix’s AI detects and recognizes objects better and more precisely than human eyes.
Seadronix’s specialized maritime environment AI technology recognizes objects on the sea surface, from small buoys to large ships.
The AI has achieved a level of sophistication that allows it to recognize objects as large as overlapping ships to as small as mooring ropes in a cluttered port environment.
The algorithm behind our technology can easily be applied to various industry applications.
The core technology to construct local map
A local map containing accurate surrounding situational information is required for autonomous navigation. This is particularly the case in coastal waters.
Our core technology for constructing a local map is more than simple detection. It is a pixel level analysis, classification, and recognition AI technology. Differently from the open seas, in coastal areas high-precision technology is necessary.
Combining the strengths of different sensors provides optimal results in the often-harsh maritime environment.
Conditions are often poorer in the maritime environment compared to on land, and thus using data acquired from one type of sensor can be inefficient. We overcome this by combining multiple sensor data such as Radar, LiDAR, and vision data to produce optimal results.
We have also developed a sensor fusion technology that allows mapping and modeling even in the featureless maritime environment.
Sensor fusion technology is the key to integration with existing systems.
Various technologies are used during navigation in order to prevent collisions. Rather than relying on emerging sensor technologies, combining them with existing system produce more reliable results.
Our sensor fusion technology uses data gathered by traditional systems and fuse them to derive better results.
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