Nx Global Newsletter: August 2024

To start off, we're excited to share that Network Optix has earned a spot on the Inc. 5000 list for the 9th year in a row - a significant achievement that reflects the dedication and hard work of our global team. A heartfelt thank you to everyone who has supported us throughout our journey and we'll see you in year 10!

In this month’s edition, we’re giving you a sneak peek at some of the brand-new features in Gen 6, the next generation of the Nx software lineup. Plus, don’t miss our new segments: Pets of Nx, where we highlight our furry work companions, and A Monthly Look at Computer Vision, where we explore how the power of Nx EVOS and AI can revolutionize different industries - this month’s focus: marine navigation. Dive into this month's issue for all these highlights and more!

What's new in this month's newsletter?

• Company News: Celebrating nine years on the Inc. 5000 list.
• Product Updates: Preview the upcoming features in Gen 6 Pro and Enterprise.
• New Integrations: Learn about our latest integrations with Neural Labs and AZOR.
• Monthly Look at CV: See how Nx EVOS has the power to drive advancements in marine navigation.
• Pets of Nx: Meet the furry friends who brighten our workdays.
• Upcoming Events: Check out where we'll be showcasing our latest innovations.

Each month, we’ll explore a different potential computer vision application that could be powered by Nx EVOS. This month, we're navigating the depths with a focus on marine navigation!

Enhancing Marine Navigation with Computer Vision and Nx EVOS

We know more about the worlds and stars around us than we do the ocean of our own planet, and for good reason. From hidden obstacles and unpredictable weather to the mysteries of the deep, navigating the deep oceans of our planet is a unique and challenging task. But with the rise of computer vision usage, we’re entering a new golden age of exploration. This study dives into how integrating computer vision and AI plugins with Network Optix's Nx EVOS platform can breathe life anew into deep-sea exploration, enabling autonomous operations that rival the unmanned probes exploring distant planets.

Challenges Beneath the Surface

The deep ocean is one of, if not the last frontier on Earth, largely unexplored and filled with many unknowns. Traditional exploration tools like sonar and radar only scratch the surface - literally - leaving much of the underwater world hidden from our view. Navigating these depths presents unique challenges, from avoiding submerged obstacles to contending with extreme pressure and darkness. Even with the best tools available, human error and limited visibility can lead to costly and dangerous mistakes.

How Computer Vision Lights up the Dark

Imagine a fleet of autonomous vessels, each equipped with cameras that can continuously monitor their surroundings without human intervention. These vessels aren’t just capturing images, they’re processing the data in real-time, identifying underwater formations, detecting marine life, and navigating complex terrains without human intervention. Computer vision enables these vessels to see and understand their environment in ways that traditional sensors can’t, providing a critical edge in deep-sea exploration.

In the depths where the light barely penetrates and where traditional manned vessels might falter, special computer vision systems can still function, detecting subtle changes in the environment that might signal a potential hazard or a brand new discovery. This technology isn’t just increasing the safety of explorers, it’s opening up new possibilities for exploration, allowing us to venture deeper and learn more than ever before.

Nx EVOS: Powering Autonomous Exploration

Network Optix’s Nx EVOS platform takes this possibility to the next level. As a platform that allows you to add and manage multiple AI plugins to process video stream data, the piloting of unmanned deep-sea vessels is greatly simplified. By acting as the eyes for these autonomous vessels, Nx EVOS ensures that all visual data is processed, analyzed, and acted upon efficiently.

With Nx EVOS, operators - whether onshore or aboard a vessel - can monitor every camera feed, overlaying AI-generated insights that highlight potential points of interest or danger, on top of that, due to its highly customizable nature these can be designed to operate on their own. And because Nx EVOS is scalable, it can support everything from a single research vessel to a fleet of autonomous explorers, ensuring that the technology can grow alongside the mission.

Autonomous Deep-Sea Missions

Just as space agencies deploy unmanned probes to distant planets, we can now send autonomous vessels into the deep ocean, equipped with computer vision and Nx EVOS to explore and gather data. These vessels can map the ocean floor, study marine ecosystems, and even search for signs of life in places we’ve never reached before, all without direct human contact. Imagine a vessel diving to the ocean’s depths, navigating treacherous underwater landscapes while capturing high-definition video and analyzing it in real time. This isn’t just science fiction - it’s the future of ocean exploration, allowing us to uncover the mysteries of the deep without ever getting our feet wet.

The Deep Ocean: A Frontier from Afar

For those of us who are fascinated by the ocean but content to admire it from a safe distance, this potential technology offers the perfect solution. Like sending a probe to space, autonomous vessels equipped with computer vision built upon the Nx EVOS platform can explore the ocean’s most remote and inhospitable areas. They can safely navigate through complex environments, capturing data that broadens our understanding of the marine world.

By combining the power of Nx EVOS and computer vision AI with marine navigation, we can redefine what’s possible in deep-sea exploration. Autonomous vessels equipped with these technologies can safely explore the ocean's depths, uncovering discoveries that were once beyond our reach and revealing a world that’s as fascinating as it is uncharted.