App-Partners - AI.Reverie

Synthetic data to train and improve machine learning algorithms

Seth-Picture
Security cameras become increasingly intelligent. That's why we want to offer our algorithms trained with synthetic data to as many companies as possible that can benefit from the improved accuracy and diversity of applications. Security and Safety Things provides the ideal channel for this
  • A.IReverie (1)
  • Seth Potter
    Head of Sales of AI.Reverie

Security and Safety Things chats with Seth Potter, Head of Sales at AI. Reverie

We from Security and Safety Things are developing the world's first open operating system with a global app marketplace for security cameras. Headquartered in Munich, Germany, we cooperate with numerous startups and established companies from all over the world. One example of mutually beneficial cooperation is that one with the startup AI. Reverie, based in New York, US.

AI.Reverie is a leading provider of computer vision algorithms leveraging its proprietary synthetic data platform. 

1. What is your core business? Give us and the readers a short insight into what you are working on?

Deep learning has caused an insatiable hunger for data. However, collecting real-world data and labeling it, is both time-consuming and costly.  The best way to meet these challenges is synthetic data, which is data generated in a simulated environment that successfully trains and improves computer vision algorithms at scale.

2. What kind of application have you already produced for our marketplace and ecosystem?

We have developed an application for security cameras that detects when people fall on the street or in buildings. The application detects a person falling in many scenarios leveraging our unique algorithms trained from our large library of in-house motion capture data.

3. What made Security and Safety Things stand out for you as a product/service?

The concept of developing a standard OS for camera systems, similar to Google's Android OS for smartphones, offers AI. Reverie a great opportunity to collaborate with various camera manufacturers worldwide who can benefit from our fully trained vision algorithms leveraging the power of synthetic data. We see Security and Safety Things like a new channel to deliver our APIs and synthetic data-sets to the marketplace for users, integrators and developers. This creates completely new opportunities for marketing our products. 

4. What made you happiest about collaborating with us? OR what has exceeded your expectations since working with us?

The whole team at Security and Safety Things is doing a great job by being very flexible and proactive in helping us deliver our API to the marketplace. This allowed us to use the platform very quickly and productively with little effort.

The user interface for developers like us is very simple and intuitive, which makes it even easier to get started

5. How do you rate the market for B2B apps in the area of camera applications? OR in other words: Why do you see this area as full of opportunities?

As already mentioned, the need for large amounts of diverse, fully annotated data for computer vision will continue to grow, particularly as applications become more complex. This especially applies to the area of Security and Safety, where cameras play an important role to help identify objects or activities. These cameras have the potential to become increasingly intelligent and the reason why we want to offer our algorithms trained with synthetic data to as many companies as possible that can benefit from them.

These cameras have the potential to become increasingly intelligent and the reason why we want to offer our algorithms trained with synthetic data to as many companies as possible that can benefit from them.

6. What are your next goals and what does it take to achieve them? OR Do you see challenges in the area of app development today?

Our next goals are to further improve our Falling Detection API and develop additional APIs that leverage our synthetic data platform for mission-critical applications such as human activity detection. We also plan to provide data sets to other API partners in the ecosystem to improve the accuracy of their algorithms.

Seth, thank you very much for the chat and the opportunity to get to know you better.

Did you like this article? 

Follow us on LinkedIn, Facebook and Twitter to get all the latest information about Security and Safety Things, our event days and our fantastic team!

Interested in joining the world of Security and Safety Things? Contact us! 

Become a Developer Partner

Join our thriving community of Android developers.

Our Developer Partners