With a view to the future of shipboard digital transformation, we offer products and solutions with enhanced functionality.
Here are some of the products we have released so far and some examples of our research and development work.
The AR Navigation System is a navigation and maneuvering support system for ships that takes full advantage of Augmented Reality technology. The system uses AR technology to superimpose navigational information on images captured by a camera mounted in front of the vessel. Even in adverse weather conditions or at night, when it is difficult to see, the display shows the ship's route and information on other vessels, making navigation much peaceful, safe, and comfortable.
Introduction Video
AR Navigation System has been certified as an
"Innovation Endorsement for Products ＆ Solutions"
by ClassNK (Nippon Kaiji Kyokai) for its innovative technology.
The 3D Bird View System is a unique mode using virtual technology that provides the user with an overhead bird/third person view of their own vessel in 3D for maximum situational awareness around the vessel and safe navigation. This view mode overlays essential information such as chart information, Radar data, AIS, and risk of collision areas. The height, angle, and zoom levels can be freely adjusted, allowing the user to check from all directions instantaneously to have full situational awareness in every direction at all times. It is a perfect support tool for safe route planning and collision avoidance, especially in busy areas where dozens of vessels enter and leave ports at the same time.
Introduction Video
The 3D Bird View System has been certified as an
"Innovation Endorsement for Products ＆ Solutions"
by ClassNK (Nippon Kaiji Kyokai) for its innovative technology.
Using artificial intelligence technology, we are developing onboard cameras capable of identifying ship types, navigation buoys, and other objects. The camera will not only be used to identify objects but will also be combined with the Radar and AIS technologies already on board to achieve unprecedented object detection reliability, thus contributing to greater safety at sea without the need for human presence.
Introduction Video
A clear picture of the surroundings is crucial in achieving autonomous navigation. Millimeter Wave Radar uses higher frequencies than conventional navigation Radar and can therefore detect smaller objects at close ranges and other vessels in congested waters with greater accuracy. Combined with a wide variety of sensors such as Radar, visible light cameras, and infrared cameras, the Millimeter Wave Radar provides a stable overview of the situation around the vessel, regardless of weather or light conditions.
Introduction Video
In extremely busy waters (such as ports entrances and exits), all vessels have to make a continuous effort to watch out for other vessels in the vicinity in order to avoid a collision. Furuno Risk Visualizer™ is an innovative technology that significantly reduces the risk of collision by alerting the user to potential collision areas with colored indications. This technology is based on an advanced algorithm that has studied and analyzed numerous data samples from real maneuvers and navigation data, provided by operators and navigators to obtain highly reliable predictions.
Introduction Video
The Action Planning Unit is a central element of the automatic navigation system Furuno is currently developing to realize fully autonomous ships: the APExS-auto (Action Planning and Execution System for full autonomy) concept*.
This unit integrates data from a multitude of different sensors to collect information accurately and identify objects around the vessel, detecting any potential risk of collision. Based on the information obtained, the Action Planning Unit calculates the best route and readjusts the course to take to avoid a collision.
The route to be avoided is then automatically integrated into the current route plan, and the ship is redirected to follow the safest route via the DTC (Drive Train Controller: a group of functions that control the rudder, engines, thrusters, etc.).
Thanks to its comprehensive integration capability, the Action Planning Unit paves the way for fully autonomous navigation.
*A framework to realize fully autonomous ships proposed by NYK, MTI and Nippon Kaiji Kagaku, which has received basic certification (AiP) from the Nippon Kaiji Kyokai and Bureau Veritas. The system will achieve autonomous navigation through AI that will take over navigation-related tasks, such as information gathering, analysis, planning and approval, which are currently performed by humans.
Introduction Video
Accidents often occur when large ships dock and leave the quay. This is due to the fact that seafarers have a lot of tasks to perform when maneuvering a ship and that the success of such maneuvers relies mainly on experience and intuition. The aim of the "Berthing Aid System" is to facilitate and improve the safety of berthing maneuvers by using sensors that measure the distance between the quay and the ship. Thanks to a camera and a LIDAR, the relative distance between the quay and the ship's hull is constantly measured and displayed on the screen, so that the crew is aware of the ship's position in relation to the quay in real time. Given the relative ease of installation and mounting on existing vessels, the algorithm has been designed to allow the calculation of the distance from the quay to the bow and stern by simply installing the equipment on the sides of the vessel.
Introduction Video
