Image : FleetVision™ manages vessel operations using AI | Source: shipin.ai

FleetVision™ is a platform developed by ShipIn Systems to manage and analyze ship operations using artificial intelligence (AI) technology and visual analytical cameras. The platform aims to improve operational efficiency and ship safety by providing real-time data on events occurring onboard, as well as enabling effective communication between ships and shore offices.

FleetVision™ relies on AI technology and visual inputs from on-site cameras to detect and analyze on-board events, such as non-compliance with safety procedures, fire hazards or violations of MARPOL regulations. The platform leverages AI to identify anomalies in ship behavior and automatically alerts ship crews and shore teams. For example, cameras installed on ships can detect if safety policies are not being followed, such as inappropriate bridge monitoring, or operations conducted in bad weather, and then provide advance warning to prevent potential accidents.

With real-time visual analytics, FleetVision™ provides deeper insight into a vessel’s operational performance. Information collected from various sensors and cameras, as well as additional data such as weather and ship location, is processed by the system to produce contextual analysis that can help in decision making. For example, if the system detects a potential environmental violation related to MARPOL, it can provide an alert that allows immediate corrective action to be taken to avoid fines or environmental damage.

One of the key features of FleetVision™ is its ability to support remote communications between vessels and shore teams. In certain situations, ship crews can work closely with shore teams to resolve issues or get direct guidance on critical operational decisions. This helps improve coordination and make more informed decisions at critical times.

The company says that implementation of its technology on ships is relatively simple and does not interfere with ongoing ship operations. Their system requires onboard hardware, such as cameras and servers, that can readily be installed by the ship’s crew. Once the hardware is installed, ShipIn’s IT team can configure the system remotely, allowing for deployment with minimal disruption to ship operations.

One of the main challenges in implementing this kind of technology for many shipping companies is managing the resulting data that is generated. FleetVision™ addresses this problem by using on-board Edge AI servers to process data locally and reduce reliance on internet connectivity. The processed data includes raw video and vessel operational information stored for a minimum of 30 days on the vessel’s servers. This data can then be accessed by authorized parties for further analysis, such as creating reports or making data-based decisions.

FleetVision™ is designed to not overload a vessel’s internet connectivity. This system uses only a small portion of the vessel’s bandwidth (ShipIN claim a maximum of 20%) to ensure that the vessel’s daily business communications continue to run smoothly. If internet connectivity is lost due to equipment failure or geographic restrictions, the system will store data temporarily and resume data collection once connectivity is restored.

ShipIn Systems reported raising $24 million in Series A investment on 2022. Leading Silicon Valley startup capital company Zeev Ventures spearheaded the investment round, with at.inc, Hyperplane, and Munich Re Ventures joining in. ShipIn expects to greatly increase its operations and enhance the functionality of its visual analytics platform with new funding.

In the future, as AI and analytics technology continues to develop, FleetVision™ can further enhance its ability to analyze data and provide deeper insights into fleet trends and performance. With its ability to reduce safety risks, increase operational efficiency and comply with stricter regulations, we can expect to see technology such as FleetVision™ becoming an integral part of more proactive and responsive fleet management.

Reference:

NorthStandard. (n.d.). ShipIn Systems FAQs. NorthStandard. Retrieved from https://d3cpegos94401u.cloudfront.net/publications/documents/northstandard-faqs-shipin.pdf

Ship Management International. (2024, July 22). OneLink signs deal with ShipIn Systems for AI-powered fleet management. Ship Management International. Retrieved from https://shipmanagementinternational.com/onelink-signs-deal-with-shipin-systems-for-ai-powered-fleet-management/

ShipIn. (n.d.). How ShipIn works. ShipIn. Retrieved from https://shipin.ai/how-shipin-works/

Zarei, A. (2023, May 10). ShipIn Systems Announces Series A Funding with Zeev Ventures, Raising $24 Million. ShipIn. https://shipin.ai/resources/shipin-systems-announces-series-a-funding-with-zeev-ventures-raising-24-million/

Contributor : Masyita Deta

Reviewer : Imam Buchari