The Sleuth - Deepfake Detector

With the advancement of digital recording devices, there is an emerging trend of citizen journalism/ collaborative media where the public shares or contributes information directly to the mainstream media channels. Coupled with the emergence of AI video generators, even amateurs and non-coders can produce realistic avatars and videos to spread fake news. 

Mainstream media needs to consider their professional and ethnical obligations when reporting or sharing this contribution on their channels thus a solution is needed to decipher the authenticity of such information. 

The Sleuth is I²R's latest technology in deciphering such edited video and even text. It can identify the exact segment and localise the video or text manipulation. This provides an additional layer of verification and protection against fake news.

Unlike other technologies, we have developed three different detection engines for three different modalities (Audio, Video, LipSync) of manipulations and achieved state-of-the-art accuracies. Our face manipulation-based deepfake detection technology achieved minimum accuracy of 90% on a blind dataset.

 

Example of  The Sleuth detecting alterations in a video

Key Features of The Sleuth includes:
• Detects alteration in video, voice and text automatically.
• Verifies contents (video, image and text) with the original online.
• Highlights the manipulated content accurately even if it is edited partially.

Here's a short video about The Sleuth.

 

The Sleuth enables analysts to identify large volume of deceptive or falsified media and content efficiently and accurately. This scalable tool is currently available as a SaaS (Software as a Service). Integrated frontends for WhatsApp and Telegram, optimised for mobile devices  and a browser extension in the form of a Sleuth plugin are currently in development to enable multi-channel accessibility of the Sleuth technology.

This will empower users to spot fake news or scam messages readily. They can send texts to The Sleuth platforms to verify if it is factually true or false and detects any hateful speech or scam information. The content will be analysed and replied with additional details to support the results. Depending on the length of text provided by the users, results are generated in matter of seconds.