Identity Protection Suite

brighter AI’s Identity Protection Suite (IPS) provides the most advanced solutions to protect personally identifiable information in camera data.

Built for any demand at scale with ease of use in mind

Our product philosophy is realized by camera-agnostic deep learning models, high resource efficiency and easy integration possibilities. The Identity Protection Suite is container-based, offers a standard RESTful API and supports all standard image, video and streaming formats. Therefore, the software can be used for a great variety of use cases.

Features

Format-agnostic

Precise detections

Automatic redaction

Privacy by design

CPU & GPU modes

Flexible deployment

Product options

IPS EdgeIPS EnterpriseIPS Online
Deep Natural Anonymization
Precision Blur
Faces & license plates
Full body
Images & videos
Streams
Custom calibration
Add 3rd-party analytics
On-premise
Cloud scalability (AWS, Azure)
Support for SecuStack by
Managed (optional)
ArchitectureARMCPU/GPU

AI innovation made in Europe

The Identity Protection Suite is based on cutting-edge artificial intelligence research. In particular, Deep Natural Anonymization is a product innovation that accelerates the digital delivery of data and access to data pools with ‘lossless data privacy’. The product is thus used in future-oriented applications, such as the development of autonomous vehicles or smart cities, and stimulates international AI ecosystems. brighter AI has access to a European AI network to create added value in terms of competitive strategy with partners in video analytics, data labelling and hardware integration.

Industries

Automotive

Automotive

for training and serial production

Retail

Retail

for video analytics

Public transport

Public transport

for insights and security

Annotation / labeling

Annotation / labeling

for data sharing & processing

Recommended system &
supported formats

At least multi-core CPU (for images) or one NVIDIA GPU

GPU compute capability: [6.0, 6.1, 6.2, 7.0, 7.2, 7.5]
min. GPU memory: 11000 MiB
NVIDIA driver version >= 410.48
Docker with nvidia-docker2 or nvidia-container-toolkit
at least 24 GB RAM
128 GB disk space
Ubuntu 16.04 or 18.04

For IPS Edge: NVIDIA Jetson AGX Xavier

All standard image, video and streaming formats/codecs supported, incl.:
png, jpeg, bitmap, h264, mpeg4, mjpeg, hevc, vp9, rtsp