Analysis of information sources in references of the Wikipedia article "PhotoDNA" in English language version.
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Image fingerprints, such as PhotoDNA from Microsoft, are used throughout the industry to identify images that depict child exploitation and abuse
According to Google, those incident reports come from multiple sources, not limited to the automated PhotoDNA tool.
A bigger breakthrough came along almost a decade later, in 2018, when Google developed an artificially intelligent tool that could recognize never-before-seen exploitative images of children. [...] When Mark's and Cassio's photos were automatically uploaded from their phones to Google's servers, this technology flagged them.
{{cite web}}: CS1 maint: numeric names: authors list (link)Google has used hash matching with Microsoft's PhotoDNA for scanning uploaded images to detect matches with known CSAM. [...] In 2018, Google announced the launch of its Content Safety API AI toolkit that can "proactively identify never-before-seen CSAM imagery so it can be reviewed and, if confirmed as CSAM, removed and reported as quickly as possible." It uses the tool for its own services and, along with a video-targeting CSAI Match hash matching solution developed by YouTube engineers, offers it for use by others as well.
A bigger breakthrough came along almost a decade later, in 2018, when Google developed an artificially intelligent tool that could recognize never-before-seen exploitative images of children. [...] When Mark's and Cassio's photos were automatically uploaded from their phones to Google's servers, this technology flagged them.