brighter Redact Edge is an on-device data anonymization solution designed to redact personally identifiable information (PII) at the point of data collection, such as in-vehicle systems or edge-mounted cameras. It anonymizes faces and license plates in real time without requiring an internet connection, ensuring that only GDPR-compliant data is transmitted downstream. The product uses two core anonymization technologies: - DNAT (Deep Natural Anonymization Technology): replaces faces with synthetic, realistic alternatives - Precision Blur: applies blurring to faces and license plates Deployment is handled via Docker or direct native integration, and the solution supports offline installation. It is compatible with common edge hardware platforms including Nvidia Jetson Xavier, Orion AGX, ARM devices, Asus, and Intel processors. brighter Redact Edge is designed for transportation, logistics, and smart infrastructure use cases. It processes image and video frames individually or as streams, running on the device's onboard computer without modifying existing systems. Anonymized data can be transmitted over TLS-encrypted networks to external servers for further processing. Real-world deployments include: - Kion: anonymization of faces and license plates on autonomous forklifts - BVG (Berlin transit authority): on-tram anonymization of passenger faces and vehicle plates for driver training videos - DB S-Bahn Stuttgart: anonymized passenger density analysis for capacity management on trains