Google Releases Internal Video-Blurring Privacy Tool as Open Source

Google Releases Internal Video-Blurring Privacy Tool as Open Source

Google has announced that it will be releasing two of its latest privacy-enhancing technologies (PETs), including a tool that blurs objects in a video, as open source for anyone to use for free. These tools are part of Google’s Protected Computing initiative, which aims to transform “how, when and where data is processed to technically ensure its privacy and safety,” according to the company.

The first of these technologies is called Magritte, which is now available on GitHub. Magritte uses machine learning to detect objects in a video and apply a blur as soon as they appear on the screen. It can be used to obscure objects such as license plates and tattoos. According to Google, this tool is particularly useful for video journalists who want to provide additional privacy assurances. By using this open-source code, videographers can save time by automatically blurring objects in a video, while also being confident in the accuracy of the underlying machine-learning algorithm.