FortifAI represents a groundbreaking advancement in visual autonomy technology, designed to augment current systems with real-time visual insights and accurate management of cameras and unmanned vehicle (UxV) platforms. This innovative, platform-autonomous solution operates on low-energy edge processors and has been successfully tested across various platforms, including drones, ground vehicles, surface vessels, counter-unmanned aerial systems (C-UAS), long-range surveillance cameras, and even uncrewed submarines.

Core Features

System Overview

FortifAI is capable of processing multiple camera feeds simultaneously, nonetheless of their format, whether sourced from drones, CCTV systems, robots, or marine vessels. All processing is conducted locally on a low-power edge processor, facilitating quick responses, accurate control, and negating the necessity for internet access.

When feasible, fortifai can autonomously maneuver cameras or unmanned vehicles to monitor potential threats, ensuring they remain in focus. By utilizing the platform’s internal location data or an external NMEA position source, FortifAI can geo-locate threats in real time, displaying their locations on graphical interfaces such as Video management Software, Ground Control Stations, or Command and Control systems.

When external data sources like Radar, AIS, or ADS-B are accessible—or when utilizing bearing-only tracks from systems like drone RF detection—FortifAI integrates this facts with optical tracking, substantially minimizing false positives throughout the system.

With our WebSocket-based JSON API,your existing front-end applications can remotely manage and monitor one or more FortifAI AI nodes.This integration not only enhances your software with our advanced AI capabilities but also broadens its compatibility to include sensors from our expanding libary.