We all know that the internet is not a safe place, check these three options for identity protection API that will make you protected yourself from the creepers on the web. Read more below!
The ability to use our faces for a variety of tasks, from unlocking our phones to looking for persons who have gone missing, depends on deep learning systems. Today’s reality, in which people’s faces are regularly gathered on a daily basis, is the outcome of the extensive use of camera technology in daily life.
The enormous amount of private and sensitive data that these machine learning algorithms rely on is growing. The privacy of those people must likewise be protected. Data anonymization is therefore one method of adhering to stringent data privacy legislation like the CCPA, APPI, CSL, and GDPR.
Machine learning technology is used by face blur technology to identify faces in any real-time video stream or static image. The face is hidden by an additional layer of pixelation or blurring that is introduced once a face is recognized. The other elements of the video are unaffected, therefore this technique doesn’t affect the video’s quality.
Face blurring can be applied to a number of industries, including security and analytics, that need access to video feeds or the sharing of output with outside parties. Contact blurring technology can be used quickly and efficiently for a variety of privacy issues because there is no cap on the number of faces that can be masked at once.
So if you’re a known identity on the internet but you don’t use your face, it’s hard to hide it on social media. It could take time, but a solution would be to blur the photos where you can see some private data, your house or even your face. For this, we bring you these three options that could hide your face:
Face Blur API
A software program called Face Blur API is available on the Zyla Labs store. Any face in a given image can be blurred using this API. Employ this API either journalistic purposes or to safeguard people’s identities. This API will take an image URL as a parameter and return a modified version of the original photograph URL.
Using this API, any identifiable face in a photo can be obscured. Faces in images are hidden using this machine vision technology. The face will be warped and the person’s identity will be hidden by the time the AI is finished. The identity of a person in photographs is routinely hidden using this technique.
Cameralyze
Your privacy issues are directly addressed by the Cameralyze Face Blurring software by utilizing the Face Blur function in real-time to hide recognized faces in streaming pictures, movies, or live videos. We assist you in complying with all laws by providing the most cutting-edge facial blur application for GDPR, CCPA, APPI, CSL, and the constantly evolving privacy laws throughout the world.
Face Pixeler API
Face blurring and pixelization are computer vision technologies used to anonymize faces in photographs. Face blurring is a computer vision technique for masking faces in photographs. When this technique is used, the face becomes blurred and the person’s identity becomes indistinguishable. They utilize facial blurring to assist protect a person’s identify in a photograph. Facial pixelization API uses a deep neural network module with Caffe models to detect the face on a picture with a confidence score.