#1 Video & Image Anonymization Solution for Automotive & Mapping

Process large volumes of automotive data with our scalable, efficient, and reliable solution. Anonymize your images and videos in batches, saving valuable time while preserving visual quality and essential metadata.

Our trusted clients

Keep Identities Safe, Data Fully Usable

With our automated video anonymization solution, you can process your data seamlessly by integrating it into your architecture, whether in the cloud or on-premises. Fully scalable and deployable on your own infrastructure, it offers key advantages such as:

  • Automatic blur of faces and license plates
  • High visual quality maintained after anonymization
  • Preserved metadata for smooth data usability
Keep Identities Safe,
Data Fully Usable

Compliance

With our world-leading anonymization solution, Blurit ensures compliance with laws like GDPR, CCPA, APPI, PIPL, PIPEDA, and LGPD, while efficiently anonymizing large volumes of data.

Flexible Deployment

We offer deployment options that adapt to your needs — whether you require a fully on-premise solution for maximum control, or a scalable API integration for seamless workflows.

All Type Resolutions

Blurit processes all video types and sensor data (dashcams, ADAS, autonomous vehicles, LiDAR, 360°, mobile mapping) from 480p to 12K+, ensuring privacy & performance.

Real-world Scenarios

ADAS &
Autonomous Driving

ADAS & Autonomous Driving

Car manufacturers rely on massive video datasets to train driver-assistance and autonomous systems. With BlurIt AI redaction, faces and license plates are anonymized automatically, ensuring compliance and safe data use.

Mobile
Mapping

Mobile Mapping

Mapping fleets capture streets with 360° cameras and LiDAR, recording pedestrians, vehicles, and sensitive details. BlurIt auto-redacts personal data, enabling accurate, regulation-proof urban mapping and navigation services.

AI
Innovation

AI Innovation

Startups and research labs need real-world road data to build AI solutions for mobility. Blurit anonymizes sensitive visuals while preserving road features, empowering faster, safer, and compliant AI development.

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Use Case

DMP, a leading company in the automotive sector, faced the challenge of anonymizing and processing millions of images in a very short timeframe, while ensuring compliance, data privacy, and seamless scalability as their datasets expanded.

Dynamic Map Platform

Their key needs include:

“Process and anonymize millions of images within a very short timeframe, ensuring performance, privacy, and adaptability for various internal and client use cases.”

Blurit meets these needs by offering:

  • 5EF9C3D0-B2B4-4E9C-8D37-FD73578058DECloud-based infrastructure enabling rapid scalability to handle massive image volumes
  • 5EF9C3D0-B2B4-4E9C-8D37-FD73578058DEHigh-speed processing of large-scale visual datasets
  • 5EF9C3D0-B2B4-4E9C-8D37-FD73578058DEFlexible customization to adapt to specific workflows and requirements

FAQ

Find Your Answers

Find all the answers to questions about Blurit, for both functional or technical aspects. If you do not find the answer you are looking for, feel free to reach out to us via our contact page.

  • What challenges do automotive companies face with video and image anonymization?

    Autonomous driving, ADAS, and connected vehicle projects rely on massive video and image datasets. These often contain sensitive data such as faces, license plates, or personal identifiers. Without anonymization, this data cannot be used for training AI models, testing, or sharing across partners while remaining compliant with privacy regulations like GDPR.

  • How does Blurit’s video redaction technology work?

    Blurit uses AI-powered detection models to automatically identify and redact sensitive objects in both images and videos. Whether it’s faces, license plates, or pedestrians, Blurit ensures consistent anonymization at scale, while preserving critical metadata such as GPS, timestamps, and sensor data for downstream automotive applications.

  • Is the solution scalable for large-scale automotive datasets?

    Yes. Blurit is built on a cloud-native, GPU-accelerated architecture designed for scalability. It allows automotive companies to process millions of images and videos in very short timeframes, supporting everything from small test projects to global deployments.

  • Does Blurit impact the quality or metadata of automotive datasets?

    No. Blurit anonymizes visual content while ensuring metadata is preserved. This is essential for automotive R&D, where contextual information such as geolocation, time, and environmental data must remain intact for accurate analysis and AI training.

  • Can Blurit be integrated into existing automotive workflows?

    Absolutely. Blurit offers a flexible architecture with APIs and deployment options that can be adapted to various workflows—whether in the cloud, on-premise, or hybrid environments. This flexibility allows seamless integration with existing automotive data pipelines, from HD mapping to fleet management.

  • How does Blurit ensure high-speed processing for automotive datasets?

    By leveraging GPU acceleration and optimized AI models, Blurit can process large volumes of visual data at unmatched speeds. Automotive companies can anonymize millions of images and hours of video footage in record time, enabling faster data preparation and reducing project bottlenecks.

  • Why choose Blurit over other anonymization solutions?

    Unlike traditional tools, Blurit combines: • Scalability to handle global automotive datasets. • Flexible and customizable workflows tailored to different use cases. • GPU-accelerated performance for faster processing. • Metadata preservation critical for AI training. • Cloud-ready deployment with strong technical support.