How to Take Your Video Solution to Market with Nx AI Manager
Launching your own AI solution doesn’t have to be difficult. Whether you're working independently or collaborating with a team, Nx AI Manager provides all the tools needed to build, train, and bring your AI-powered video solution to market. To make the process even easier, here is a straightforward guide to walk you through each stage—from creating your initial prototype to successfully entering it on the market.
The first step in developing an AI solution is clearly defining the problem you would like to address. For example, in a restaurant setting, you might aim to monitor how long tables are occupied on average in order to better plan out your services and scheduling. By tracking table occupancy, you can better adjust seating arrangements, reduce wait times, and ensure a smoother dining experience for your guests. This specific objective becomes your "use case," guiding the development of your AI solution to deliver actionable insights and measurable improvements.
With your use case defined, you can now start building a prototype using Nx Meta—our sandbox environment for testing and customizing AI video solutions. You can get a suitable AI model from many available model libraries such as Yolo, Hugging Face, Nvidia Tao, Intel Open Vino and others. If you're familiar with some of our supported AI model training tools like Edge Impulse, TensorFlow or PyTorch, you can train the model yourself. If not, Nx can actively help you find a model maker to handle the technical side.
The built-in Nx recording tools make it very easy to capture video data to train and optimize the model under real-world conditions of your use case. This allows you to rapidly prototype and build a first version of your AI solution.
Once your model is trained and uploaded to the Nx AI Manager Cloud, you can now deploy it to a test location where you have an edge device running the AI Manager connected to a live camera. This is how you will evaluate how well it works in the field. If the model needs improvement, such as better detection accuracy, then the AI Manager can be configured to capture additional live training images that you can use to re-train your model. You can rapidly repeat this cycle, potentially across multiple locations, until the AI performs as needed.
Now that your AI model is ready, it's time to decide how you’ll bring it to market. There are two main paths you can follow:
If you end up choosing the Nx EVOS route, you'll want to familiarize yourself with Nx Connect, our built in licensing and billing system. This will allow you to:
As your AI solution gains traction, tools like Nx AI Manager and Nx Connect make it much easier to scale with your growth. You can continue to refine your model, deploy updates across customer sites, and even add new features and updates as the business grows.
Taking an AI video solution to market through Nx AI Manager is straightforward, whether you're selling through Nx EVOS or as an OEM product. From prototyping to full deployment, Nx provides the tools and support you need to build, refine, and commercialize your AI solution. By choosing the right market route and utilizing Nx Connect for licensing and management, you can efficiently scale your solution and succeed in the marketplace.
Ready to get started? Download the Nx Meta sandbox today at https://meta.nxvms.com.