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Face Blur

Use this technology to

  • Apply Privacy by Default in your operations today
  • Comply with privacy laws and meet data protection needs
  • Get fast and accurate results

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Automatically blur faces of individuals in live video

Address privacy concerns by using Face Blur to automatically hide detected faces in live video stream in real time.

Benefits of our Face Blur Technology

Start applying privacy by default in all your endeavors and comply with privacy laws by easily blurring people’s faces at all times.

Example use cases:

Face Blur Software

Privacy in public or private areas

cctv

Security camera/video companies

 

detect_masked_face

News media scenarios & more

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Which Sightcorp Products incorporate Face Blur technology?

To ensure privacy by default, we’ve added the Face Blur feature to the following products:

Deepsight SDK
CrowdSight Toolkit

Good to know: Face Blur technology enables the blurring of faces in live video footage, without affecting the accuracy of the demographic analysis and people counting features. Please note: Face Blur is currently not available as a standalone offering.

Testimonial

We are using and heavily promoting Sightcorp’s Toolkit because of its stability, accuracy and very easy installation and hardware configuration. The real-time aggregated data is immediately accessible through the reporting dashboard, which enables us to scale with ease.

─ S. Ahmedov, CEO OmniChannel

 

Face Blur Technology

What is face blur?

Face Blur is a real-time video anonymizer. It is designed with privacy in mind. You can now easily blur faces to protect the privacy of all people recorded in video systems or in images.
Based on the input we received from our customers and partners, together with our own strong values when it comes to respecting individuals’ privacy, we have decided to add the face blur feature in all of our products.

Privacy by default

Start applying privacy by default today with our face blurring solutions. You can still perform all face analysis tasks with the additional capability to prevent others from being able to view video streams or see people’s faces.
Face Blurring is ideal for many different industries that have cameras running for security or analytics purposes and need to provide access to the video streams or share the output with third parties.

How does face blur work?

For the Face Blur feature to take effect, first, a face (or faces) needs to be detected in a video stream or in a still image(s). Once a face has been detected, similar to how your phone detects your face with a yellow bounding box when taking a selfie, we can then add a layer that blurs or pixelates the detected face(s). This happens in such a way that the person’s face can no longer be seen by the human eye. Our face detector is very strong and can detect faces from any angle and distance.

With privacy regulations changing all the time around the globe and the recent GDPR that came into effect in the EU, it is recommended to comply with all regulations per default by adding/ integrating face blurring into your services.

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Ready to get started with our face analysis technology?

Test it free for 2 weeks on your favorite desktop platform

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Technical Specifications

The table below shows how FaceMatch SDK performs on the Labelled Faces in the Wild (LFW) dataset:

FPRTPRThreshold (Inverse of distance)
0.10.99900 ±0.002130.55448
0.010.99667 ±0.005370.59791
0.0010.99367 ±0.006050.62989

FPR = False Positive Rate
TPR = True Positive Rate

These results are an indication only and are based on the specific dataset Labelled Faces in the Wild. Customers can expect similar performance, with possible variations due to hardware and the availability of annotated data.