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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

BlurMe is an innovative AI-driven web platform designed for the automatic detection and obscuring of faces, individuals, vehicles, and license plates in images and videos through blurring or pixelation techniques. Its advanced AI technology follows subjects throughout different frames, ensuring that identities remain concealed seamlessly, even when there is movement from either the subjects or the camera, all without the need for manual intervention. Users have the flexibility to selectively unblur certain individuals or objects, customize manual blur areas, and switch between blurring and pixelation effects to suit their needs. Additionally, BlurMe facilitates batch processing of both photos and videos within a single workflow, eliminating the need for any software downloads. This platform is utilized by a diverse range of professionals, including content creators, journalists, legal and insurance teams, as well as law enforcement and governmental bodies, to effectively redact personal information from various types of footage, such as CCTV, bodycam, dashcam, and recordings from events, prior to sharing or publishing them. This capability is particularly crucial for complying with privacy regulations and fulfilling disclosure requests like DSARs and FOIA, ensuring that sensitive information is managed responsibly.

Description

As facial recognition technology advances, the collection of public video footage poses significant privacy threats. Brighter AI's Precision Blur stands out as the leading solution for accurate face redaction globally. Their innovative Deep Natural Anonymization leverages generative AI to generate synthetic face overlays that ensure individuals remain unrecognizable, all while maintaining the quality necessary for machine learning applications. The Selective Redaction interface empowers users to choose which personal information in videos to anonymize selectively. In specific scenarios, like those encountered in media and law enforcement, it may not be necessary to blur every face. Following automated detection processes, users have the option to individually select or deselect objects. Furthermore, the Analytics Endpoint delivers essential metadata linked to the original elements, including bounding box coordinates, facial landmarks, and attributes of individuals. With JSON outputs, users can access pertinent information while ensuring that images or videos remain compliant and anonymized, preserving privacy in an increasingly digital world. This combination of features not only enhances privacy but also supports various professional applications effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$10/month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Jarasoft

Founded

2023

Country

South Korea

Website

www.blur.me/

Vendor Details

Company Name

Brighter AI Technologies

Country

Germany

Website

brighter.ai

Product Features

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization Yes 

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