Video Redaction in Automotive & Mapping

For automotive data collection in line with privacy regulations like GDPR, we provide the world’s most advanced image and video redaction technology. Our software is designed for automotive requirements and supports current development projects as well as future vehicle fleet data collection.

Why Deep Natural Anonymization?

Deep Natural Anonymization protects personal information in images with artificial replacements. Therefore, it is the only video redaction solution compatible with analytics and machine learning.

We Understand Data Privacy Needs in Automotive & Mapping

Industry Experts

We have extensive automotive experience, as we were founded in the industry as a HELLA spin-off. From numerous projects with industry leaders, we understand the challenges you face.

Easy Setup

Our redaction software can be easily integrated via a REST API- The setup via our secure cloud API or on your own GPU servers is suitable for data collection and processing at scale.

ML Compatibility

Our unique Deep Natural Anonymization is suitable with the training of machine learning algorithms. The solution has been approved by privacy professionals as well as research scientists.

Legal Compliance

Avoid severe legal fines and benefit from our experience with legal requirements for data acquisition projects. Data privacy officers have approved our solution for jurisdictions such as GDPR (EU), CCPA (US) and CSL (China).

Brand Reputation

By implementing our state-of-the-art privacy technologies, you become an innovation leader, protect your brand reputation and build trust amongst customers, investors and partners.

Privacy by Design

Integrate “privacy by design” into your existing data collection and processing flow. This saves time, legal risks and empowers you to focus on your core activities and data strategies.

Deep Natural Anonymization

With Deep Natural Anonymization, you are able to anonymize faces and license plates by generating artificial replacements as shown in the picture. The solution is compliant with the latest privacy standards such as GDPR and CCPA and can be used for training machine learning models, e.g. for autonomous driving, without compromising data quality. Also, key information, such as line of sight of pedestrians is maintained with state-of-the-art technology.

Deep Natural Anonymization car brighter AI
This license plate was generated using our Deep Natural Anonymization.

Video Redaction for your Mobility Use Case

With our rich variety of features and automotive experience, we are able to satisfy your individual needs. brighter AI supports a variety of mobility applications such as anonymizing image data for training machine learning models and annotation, GDPR-compliant PII redaction in mapping datasets, and enabling anonymous video capturing with dashcams.

Autonomous Driving Data

Autonomous Driving Data

ADAS & Full Autonomy

Annotation Data

Annotation Data

Human-in-the-loop Labeling

Vehicle & Road Data

Vehicle & Road Data

Mapping Services & Data Acquisition

Dashcam Footage

Dashcam Footage

Safe Driving & Insurance

“brighter AI’s solution was easily integrated and the natural anonymization was what we needed for improvement of lane and sign detection validation strategy.” Václav Schybal, System Validation Platform Manager, Valeo

Valeo uses brighter AI’s Deep Natural Anonymization for first extensive automotive fisheye dataset

The Client Valeo is a global automotive supplier headquartered in […]

Impact of Deep Natural Anonymization on the Training of Machine Learning Models

Management Summary A major problem for training machine learning models […]