By now, you already know some of the most important steps on how to start using Computer Vision. In one of our previous blogs, we showed you how labelling technique helps you structure visual data. Next to that, we also explained how to generate more data to train the AI-driven Computer Vision models, and how to test their performance before going into production. The results at this point already provide you with a Proof of Value (PoV) – showcasing you the capabilities and benefits of your specific use case. Not only is the PoV tailored to your specific business domain, but it can be used to develop and test your business case. Now that we’ve proven its feasibility and benefits, it is time to deploy the developed Computer Vision AI models into production and put them to the test!

Start leveraging the benefits!

Once you’ve deployed and run your newly trained AI model, you can start leveraging its benefits from day one! From this moment on, it will support your day-to-day business operations. Image/video/camera streams can now be processed in real-time or on request. They even have unlimited scalability when deployed in a cloud architecture. Connect as many visual input sources as you need, and the models will handle it all, from analyzing the frames to annotating the detected objects or process the patterns that are recognized.

The Computer Vision AI models give you outputs that you can integrate into your business processes, which results in more automated and efficient decision-making. Though, it is more common to start with predictive capabilities first and keep a human-in-the-loop. From that, you can work towards a more prescriptive solution, where the AI can fully handle the decision-making by itself. This way, your employees can focus on incidental corrective actions when necessary.

Automating human inputs and decision-making process

The middle parts of the next image show the potential of advanced analytics. However, we can also apply them to the role of (Computer Vision) AI.

At Mediaan Conclusion, we do this by creating a closed-loop using our “Observing>Influencing>Acting” cycle, which can be explained as follows:

  • Firstly, we start with observing the objects of interest (processing images and videos by Computer Vision AI).
  • After that, we influence the behaviors of the observed objects, by integrating the outputs we get from the computer vision solutions into the business processes. This can be in any kind of User Interface, ranging from traditional IT systems/applications to display screens, music players/audio devices, or other types of actuators in e.g. assembly lines.
  • Then we get into the acting part. The models we build at Mediaan Conclusion can run as independent models in your existing infrastructure and solutions or can be integrated into our AIVI cloud platform to leverage its full potential.

The middle parts of the next image show the potential of advanced analytics. However, we can also apply them to the role of (Computer Vision) AI. At Mediaan Conclusion, we do this by creating a closed-loop using our “Observing>Influencing>Acting” cycle, which can be explained as follows:

  • Firstly, we start with observing the objects of interest (processing images and videos by Computer Vision AI).
  • After that, we influence the behaviors of the observed objects, by integrating the outputs we get from the computer vision solutions into the business processes. This can be in any kind of User Interface, ranging from traditional IT systems/applications to display screens, music players/audio devices, or other types of actuators in e.g. assembly lines.
  • Then we get into the acting part. The models we build at Mediaan Conclusion can run as independent models in your existing infrastructure and solutions or can be integrated into our AIVI cloud platform to leverage its full potential.

Conclusions

Your new “AI Employee” will now fully support your business, delivering added value from the start. Whether that means scalability, automation, or new possibilities for your business or organization. Are you curious about how we do our HR performance cycles with this new “AI Employee”? Stay tuned for our next blog in which we will cover the 4th final step of the “How to start using Computer Vision” process. In the meantime, you might want to take a look at our other related computer vision blogs: