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TrueBees is a pioneering system developed by U-Hopper and researchers from the University of Trento to combat the dissemination of AI-generated images on social media. It leverages advanced AI, digital image forensics, and blockchain technology to validate the integrity of visual user-generated content, particularly in detecting synthetic face images with an impressive accuracy rate of 97.99%. TrueBees is designed for media professionals and law firms, offering deepfake detection, easy integration with API, blockchain security, and tailored solutions for different industry needs. It plays a crucial role in preventing the spread of disinformation and maintaining the trustworthiness of online content.
TrueBees was founded in 2022 by U-Hopper, a deep-tech SME, and a team of researchers from the Department of Information Engineering and Computer Science at the University of Trento. The company was established to combat the proliferation of synthetically AI-generated images on social networks. With the support of the TruBlo project, an EU-funded initiative under the NGI (Next Generation Internet), TrueBees developed an innovative solution integrating AI digital image forensics and blockchain technology. This solution ensures the safety and trustworthiness of user-generated visual content.
To use TrueBees, follow these step-by-step instructions:
I appreciate the focus on combating misinformation. The technology used is promising and could be a game-changer.
However, it does have a steep learning curve, which can be daunting for new users.
It provides a way to ensure that the content I use is authentic, which is particularly important for my marketing work.
The technology has potential, and the concept is necessary in today's world.
However, the speed is a significant issue, making it less efficient than I hoped.
It helps in verifying images, but I often find myself frustrated due to its performance.
The idea of using AI to combat misinformation is vital.
However, the execution is lacking; it often freezes or crashes during use.
It aims to help with verification, but the unreliability is a major obstacle.
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