Ensuring full data privacy for computer vision with Viso Suite
Data privacy and private edge computer vision are at the core of Viso Suite. Build AI vision applications with full control over all data at any time.
Leverage the benefits of edge AI for computer vision
Edge AI extends the cloud and promotes decentralized data-processing at the data source. This cutting-edge computing concept overcomes the limitations of pure cloud-based AI solutions.
Edge AI vision allows near real-time video processing without storing videos or requiring a human operator. This helps to avoid sending any video data to the cloud, thus protecting personal identifiable information. Due to the instant processing, significantly less and higher-quality data is generated.
- Avoid sending video to the cloud
- On-device machine learning
- Real-time processing
Data privacy through edge computer vision
Edge computing allows real-time and on-device machine learning. The real-time video AI processing helps to overcome the need to send all video to the cloud and analyze it there.
Since all images are processed locally, only anonymous metadata is sent to the cloud. The metadata is based on the custom application built with Viso Suite. Each application can be aligned with privacy and compliance requirements.
For example, in a computer vision counting application, the metadata would contain the number of counted objects with a timestamp. While applications can be built to include visuals, it is also possible to fully disable any video output.
- Suitable for sensitive use cases
- Fully anonymous metadata
- Avoid any video transfer

Privacy preserving vision analysis
Viso Suite
Industry best practices for governance and privacy
Viso Suite processes video streams through deep learning models at the edge, delivering real-time insights that drive measurable business value.
