What happened
A new method for removing identifying information from street-level photos works entirely on a computer's own hardware, avoiding the need to send images to external services. This means cities and mapping companies can blur faces, license plates, and other details while keeping the raw data private and maintaining a record of what was changed for regulatory audits.
Why it matters
Street imagery is everywhere now — Google Maps, municipal planning databases, traffic monitoring systems — and it contains faces, addresses, and license plates. Until now, anonymizing it well meant either over-blurring everything (ruining the image for its actual purpose) or sending the raw photos to a third-party API (which breaks data sovereignty and creates a privacy exposure). This method does the job locally, which means a government or company can anonymize at scale without handing over raw data to anyone else. It also produces an audit trail showing what was detected and changed, which satisfies EU privacy law requirements. The real constraint shifts: instead of 'can we anonymize without losing the cloud service,' it becomes 'can we afford to run this on our servers.'