Protect every identity in automotive.
Protect every identity in retail.
Protect every identity in smart cities.
Identity Protection Suite
Anonymizing publicly-recorded image and video data is important to comply with increasing data privacy regulations like GDPR and CCPA. brighter AI’s Identity Protection Suite provides the most advanced solutions to protect personally identifiable information in camera data. The software is container-based and provides a RESTful API. As it is camera-agnostic and supports all standard image, video and streaming formats, the Identity Protection Suite can be used for a great variety of use cases.
Faces are our most sensitive identifiers in public. With the increasing capabilities of facial recognition technology, handling large datasets from CCTV, automotive or smartphone cameras is a substantial risk. brighter AI provides not only Precision Blur, the most advanced face redaction solution, but also Deep Natural Anonymization. With this solution, synthetic face overlays protect individuals from facial recognition, while maintaining the value of the data for analytics and machine learning.
License Plate Anonymization
In mobility datasets, license plates are the most present personal identifiers. With the Identity Protection Suite, brighter AI provides license plate redaction as well as artificial overlays that appear natural. Maintaining a natural appearance is particularly important in use cases that involve machine learning, for example for the development of autonomous vehicles or ADAS functions. Here, Deep Natural Anonymization has no adverse impact on neural networks.
(on-premise, cloud, edge)
Enable analytics & AI (Deep
Why Deep Natural Anonymization?
By replacing faces and license plates with natural-looking overlays, Deep Natural Anonymization is the only privacy solution for videos that is compatible with analytics and machine learning.
German Digital Award
Compatibility with machine learning
“Brighter AI’s natural anonymization solution has no adverse impact on the performance of our machine learning models.”
AV Development Lead, Automotive Tier 1
Training with the Original Data vs. Deep Natural Anonymization Technology (DNAT); Cityscapes Validation Dataset
Mean Average Precision (IoU = 0.50 : 0.95)
Instance Segmentation with Mask-RCNN
“The technology makes data collection in public compliant according to privacy regulations worldwide, such as GDPR in Europe, CSL in China and the upcoming CCPA in the US.”
“Brighter AI has solved a fundamental problem of using and storing image and video data in compliance with data protection regulations.”
“Brighter AI, a spin-off from the electronics specialist Hella, for example, was able to secure a multi-million investment with its anonymization software for camera images, which is in demand in the automotive industry.”
“The best 10 AI startups in Germany – Brighter AI uses neural networks to generate artificial faces and license plates that are not recognizable as fake.”