Patient Face Anonymization
Our solution detects and blurs automatically the entire head (face, the back of the head and also the face profile) in images and videos.
Blurit redaction technology detects and blurs faces and licence plates to allowing data to be shared and used while preserving people's privacy.
Blurit enables data sharing in healthcare and life sciences research to progress at a faster rate.

Cross-border data sharing is crucial for improving patient medical outcomes, advancing medical research and enabling better identification for high-risk populations for healthcare organizations.

To create innovative healthcare technologies and protect health information as stated in the HIPPA privacy rule, some personal identifiers can be used or disclosed by covered entities for research purposes.

Healthcare experts use images and videos to educate and train medical students, residents and other healthcare professionals. We make sure to anonymize personal identifiers like faces while making sure to perserve the quality and the relevance of the shared data.
Our solution detects and blurs automatically the entire head (face, the back of the head and also the face profile) in images and videos.
To adapt to any type of camera resolution we can process up to 16K in images and videos. With Blurit you can be sure that every object will be accurately detected and blurred providing you with enhanced privacy.
Our anonymization service uses advanced technology to carefully and accurately blur out any faces in 360-degree footgae, without compromising the overall quality and impact of the video.
We anonymize personal identifiers of patients such as their face in video recordings from surveillance cameras and teleconsultation recordings to ensure patient confidentiality.
Allows you to retrieve the exact coordinates of faces in a JSON format.
Our intuitive online platform lets you process images and videos with a single click.
A robust API for clients managing large data volumes, delivering seamless integration through our REST API.
Run Blurit on your own servers for full control, rapid processing, and strict law enforcement data compliance.
FAQ
Find all the answers to questions about Blurit, for both functional or technical aspects. If you do not find the answer you are looking for, feel free to reach out to us via our contact page.
Healthcare data anonymization removes personally identifiable information from patient health data to protect privacy and comply with regulations. Anonymized data is used in medical research to improve patient outcomes.
Several types of healthcare data can be anonymized, such as patient demographics, medical history, lab results, and imaging studies. Anonymized data is used for medical research without compromising patient privacy.
Blurit provides a solution for healthcare organizations to effectively blur personally identifiable information in healthcare data, including medical imaging studies. This protects patient privacy while enabling the use of anonymized data for research purposes.
Yes, Blurit's face anonymization feature can be applied to both pictures and videos by blurring the detected faces of individuals to make them unidentifiable while preserving the overall appearance of the image or video.
Blurring healthcare data like images and videos protects privacy, builds trust, and encourages participation in research, ultimately leading to improved public health outcomes.
Yes, Blurit is compliant with almost all data protection laws such as GDPR and HIPAA.
Blurit's irreversible blur feature blurs patient faces to maintain their privacy while allowing the images to be used for research or other purposes.
If you need to blur images and videos, Blurit offers three options: our web portal, an API, or an on-premise solution. You can create an account to start using our service or contact our experts for more information.
Blurit is an online platform that is easy to use for healthcare organizations. The API and on-premise versions may require some technical knowledge, while the online platform is the simplest option. The level of knowledge required will depend on the specific needs of the organization.
Implementing Blurit in healthcare projects protects patient privacy, ensures compliance with regulations, minimizes the risk of data breaches, and improves data quality.
Yes, face anonymization in healthcare can potentially improve outcomes by facilitating research, enhancing telemedicine, improving data quality, and reducing bias.
Blurit is an effective tool that can automatically remove identifying information from images and videos, thus protecting people's privacy in healthcare settings. It is easy to use and can be implemented in a variety of settings.
Blurit algorithms use blurring techniques to anonymize faces. Blurring is the most accurate technique, as we ensure that our algorithm applies an irreversible blur on images and videos to maintain people's privacy.
Blurit is a legitimate technique for protecting privacy and removing personal information from images and videos, while deepfakes are typically used to manipulate or deceive individuals.
Our online platform is designed to be user-friendly and intuitive, requiring no special training or technical expertise. However, for the API version and on-premise option, some level of technical knowledge is necessary. Our experts can support you throughout the deployment process.
The costs of using Blurit may vary based on the size and complexity of the dataset, but the pricing is flexible and can be adapted according to the quantity of data. Send us an email so that we can learn more about your project: contact@blurit.io.
Our automated AI blurring solution reduces costs and time by automating the anonymization process, increasing efficiency, and minimizing manual intervention. This speeds up the processing of large datasets while maintaining high privacy protection.
The costs associated with implementing Blurit depend on the version you choose. The online platform and API version have no set-up fees. The on-premise version's license covers the set-up fee, maintenance, and support.