Every year navigational accidents such as those encountered by EXXON VALDEZ, alongside MARPOL violations involving magic pipes and ISPS breaches that allow billion-dollar drugs to get on board ships, result in hapless owners, managers and under-writers losing their reputation and paying billions of dollars in repairs, claims, insurance deductibles, litigation and fines. After each of these accidents, excuses of human errors or machinery malfunction play out in public and everyone moves on – until the next accident or violation occurs.
FOREWATCH uses a combination of proprietary machine learning, sophisticated cameras and human operator verifications to help the world’s 400,000 Ships and 50,000 companies stay clear of both human induced and machine related shipboard accidents and incidents.
To accomplish these processes, the base layer for FOREWATCH system manages the various vessels and companies under its purview, alongside an assignment system to allocate machine and human workers to monitor camera feeds.
Observations are detected by both worker types and added to a reporting pipeline for validation before reporting to stakeholders with evidence. The observations are catalogued by pre-defined reporting criteria, which enable historical lookups, forecasting of trends, fleetwide benchmarking, upskilling of seafarer and most importantly negating risks as and when they develop.
