PrivDefender
Keep your privacy secured
ABOUT PrivDefender
Human face blurring and car plates blurring are used to protect the privacy and identity of people who appear in public or private places. Just as some object detection researches sometimes may capture incidental people in their images but the attendance can violate their privacy. Anavision AI model automatically detects and applies mask on human face and vehicle number plates in images with choice of blurring method. A moving object segmentation algorithm supports real-time analysis of the moving objects in the realistic output image. This technology can help to protect the privacy and identity of individuals and comply with the data protection regulations.
WHY PrivDefender
Accurate Target
Detection and burring accuracy up tp 95% for spherical JPEG images
Instant Action
Blurring while detecting multiple human faces and car plates in a single image
Perpetual License
Perpetual license per computer with no use and processing limit
adapts to large volume of data
Fast Blurring
Support heavy duty blurring task to blur more than 200,000 images in 8 hours given image ratio and resolution
WHAT PrivDefender OFFER
Human Face Blurring
Through extensive prior work of human face annotation, Anavision’s computer vision analysis will automatically process the detected images to blur human faces in the dynamic street-view circumstance with high precision.
Car Plates Blurring
Real-time detection and blurring of car pates. Fast and accurate recognition of car plates in a static or driving mode and from different angles.
Support Various Image Types
System supports different angles, sources and environments. We support various image types such as dash cams, spherical images, and planar images.
User Interface
Software supports high volume image selection and processing. The processing speed up to 8-10 images per planar image. Users can easily shift the blurring mode to solid or mosaic and choose the image type they want to be detected. A software demonstration will be provided.