Privacy
Build Privacy-Preserving Computer Vision with Viso
Data privacy and private edge computer vision are at the core of Viso's technology. Viso provides next-gen AI technologies for delivering private computer vision systems. Edge computing and on-device machine learning in real-time help meet challenges of private vision analysis.
Encrypted
For all data
ISO 27001
Certified
Zero Trust
Edge Management
Edge AI
On-device AI
Why Edge AI Vision
Edge AI enables
computer vision that scales.
Edge AI extends the cloud and promotes decentralized data-processing at the data source. This cutting-edge computing approach overcomes the limitations of pure cloud-based AI solutions. By processing workloads at the edge, near real-time machine learning becomes possible, without sending any data into the cloud.
Avoid sending video to the cloud
Visual data can be processed locally, without sending it to a cloud storage. The video itself never leaves the device or the local network.
On‑device machine learning
AI inference runs on the edge device. It's optimized for low‑power, low‑latency vision workloads without defering computation to the cloud.
Real‑time processing
Edge computing enables instant processing at the data source. It's much faster, leaner, and with much less data to manage and transfer.
Private AI Vision
Privacy-preserving
vision analysis
Viso Suite allows building AI vision applications without any visual output or obfuscating visuals. This makes it possible to safely use visual data internally or externally.
Video feed
Disable visual output
Run an application without any video output at all. Computer vision produces numbers, not visuals.
Faces detected
Anonymize faces
Automatic blurring of faces or other sensitive PII data, possible even if models still detect the person.
Plate detected
Anonymize sensitive data
Mask sensitive data like vehicle plates in real time. Track and analyze movement without capturing PII.
Ready when you are
Viso Suite
viso.ai provides Viso Suite, which is based on next-gen AI technologies for delivering private computer vision systems. Edge computing and on-device machine learning in real-time help meet the challenges of private vision analysis – today and in the future.
Why Edge wins on PRivacy
Privacy advantages of
edge-first computer vision.
Data control
You can manage the data flows, and can set which data leaves the device and network.
High efficiency
Inference at the data source, close to the camera is much more efficient, and secure.
Data reduction
Instead of encoded video streams, only relevant metadata is sent to the cloud.
Minimal latency
Model inference happens in close proximity, saving up- and down-transfer times.
Reliability & offline
Edge devices can run and buffer data when networks are temporarily unavailable.
Strong security
The reduced data and decentralized model leads to a smaller attack surface.
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 can be processed locally, only anonymous metadata is sent to the cloud. Viso lets you fully change and control the metadata and where it is sent. Each application can be purpose built to meet privacy and compliance requirements, making it suitable for sensitive industries and use cases.
Viso Suite processes video streams through deep learning models at the edge, delivering real-time insights that drive measurable business value.
Arkadiusz Hruszowiec,
Intel Inc.
Read Solution Brief