Privacy-Compliant AI for Robotics in Regulated Markets

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In industries where robotics and automation rely on computer vision, privacy regulations can block innovation. The European GDPR framework created significant challenges for deploying robots equipped with cameras, as capturing personally identifiable information (PII) risked legal and compliance violations.

Industry: Robotics & Manufacturing

Problem:

Robotic systems equipped with cameras were unable to be deployed in regulated markets due to strict privacy and GDPR restrictions. Capturing personally identifiable information (PII) in video streams created compliance and legal risks.

Solution:

A fully autonomous, real-time computer vision pipeline was engineered to detect and redact faces across multiple camera streams. The system automatically blurred sensitive features while maintaining the utility of visual data.

Technology Stack:

  • Vertex AI

  • Cloud Run

  • Cloud Functions

  • BigQuery

  • Cloud Storage

  • Pub/Sub

  • PyTorch

Impact:

The solution enabled deployment into regulated European markets by guaranteeing GDPR compliance. The hyperscaling pipeline successfully processed up to 2 million images per hour, balancing performance, privacy, and scalability.

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