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Thought leadership

How Superhuman Vision™ Technology is Disrupting Social Media

February 16, 2023
November 3, 2020
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Social media challenger Vero leverages next-gen computer vision to change how users interact.

Thanks to mainstream social networking platforms like Facebook and Instagram, today socializing online has become more about irksome algorithms that promote never-ending advertisements than about connecting with people. These algorithms often tend to display content that caters to the interests of the platforms themselves, rather than the actual users.

A majority of content shared on these social networks depends on labelling posts with hashtags, a trend that has increasingly led to the spread of "fake news" and manipulated content. What was once the simplest way of labelling visual content has now become a tool that is misused to present inappropriate content to millions of users.

Social media needs a revamp; social media networks urgently need to rebuild credibility, trust, and a genuine sense of community.

‘Vero - True Social’: A Game-Changer

Vero is a social media platform that is trying to redefine the way people interact online. Vero markets itself as being operated without data mining, advertisements or algorithms. In order to move away from the craze of hashtagging that spreads inaccurate and misleading content, Vero has instead put strict guidelines in place. Users are advised to abstain from using excessive hashtags on their posts. In fact, the over-use of hashtags on Vero leads to negative engagement.  

To facilitate more genuine and organic labelling of the content that appears on their platform, Vero turned towards Mobius Labs’ computer vision as a solution.

Superhuman Vision™  Analyzes Visual Content Objectively

Vero uses the Mobius Labs’ mobile SDK to categorize and tag user content as it is uploaded to their platform. Mobius Labs’s next generation technology goes beyond traditional computer vision solutions: it’s no longer just computer vision, it’s Superhuman Vision.

By moving to Mobius Labs for automatically labelling their content, Vero attempts to rely less on those often erroneous user-generated hashtags. Consequently, there is reduced manipulated, fake or false content on their platform.

Vero’s partnership with Mobius Labs is a telling instance of the degree of customizability that the Mobius Labs Superhuman Vision technology offers: it thinks like you do. Using computer vision solutions, Vero has managed to build a model that allows the users on their network, as well as Vero itself, to have an objective view of the content shared on their platform. This disrupts the way users utilize hashtags to generate sensational content or fake news, and helps Vero realise their mission.

Superhuman Vision also entails compressed algorithms that need very little processing power or storage, that run locally instead of sending data to the cloud. This high-performance computer vision solution that is optimized for edge devices like mobile phones is ideal for Vero’s mobile application. Furthermore, it is tech that you control: which means that the vision platform is delivered as an SDK that allows Vero to keep its user data completely private.

Mobius Labs is creating next generation AI-powered computer vision that is poised to disrupt every market.

It’s not just computer vision anymore, it’s Superhuman Vision™.

A new generation of AI-powered computer vision is disrupting how the world works with visual media.  Mobius Labs makes it easy to add Superhuman Vision to any application, device or process with Few-shot Learning models that are fully customized to think like you do. The new models can be generated easily, even with non-experts, and run locally on edge devices requiring little processing power and storage. Delivered as an SDK, the technology ensures that you keep your data private.

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Written by
Trisha Mandal
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Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE).

In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.