Automotive & Mapping
For data collection in line with privacy regulations, we provide the world’s most advanced image and video anonymization technology for applications in automotive and mobility.
We Understand Your Needs
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.
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.
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.
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).
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 as a feature of brighter Redact, you are able to anonymize faces and license plates by generating artificial replacements as shown in the picture. The generated data 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.
Suitable For Your Use Case
With our rich variety of features, we are able to satisfy your individual needs. Explore different use cases to see what brighter Redact is capable of. The applications range from enabling privacy-compliant capturing of mounted cameras, to anonymizing data for training machine learning models, to GDPR-compliant redaction of PIIs in digitized public road datasets.
“brighter AI’s solution was easily integrated and the natural anonymization was what we needed for improvement of lane and sign detection validation strategy.”