Sentient Labs has released a facial recognition search website FaceCheck.ID. The search engine allows people to search social media sites using a photo of someone. The site is meant to be used by the general public to find Facebook and Instagram profiles. By visiting the site at FaceCheck and making a face search, anyone can run their first date’s face against more than 14 million photos of convicted criminals, rapists, suspects who were featured on TV, gang members, dating scammers, offenders, traffickers, and swindlers.
FaceCheck.ID can also help people find websites and profiles that use their stolen photos. FaceCheck.ID social media search engine can be used as a background check tool to check on a potential date, find impersonators and bogus identities, or find social media profiles of lost friends.
“It feels like the world is getting increasingly dangerous, and we hope FaceCheck will enable people to make safer decisions when meeting someone new in person or talking to someone online.” FaceCheck Team
With FaceCheck.ID Face Search You Can
- Learn if a person is a swindler
- Learn if a person has been impersonating you
- Find social media accounts of old friends
- Learn if a person is a felon
- Uncover if someone is trying to scam you
- Find out if a person has been in jail
- Find out if a person is a registered offender
- Do due diligence on your new business partner
Anyone can delete their pictures from FaceCheck.ID for free, respecting their privacy. The website is not accessible in European countries due to GDPR privacy rules.
FaceCheck’s AI-based technology is using face recognition to match faces in different conditions, expressions and angles and is able to also recognize faces covered by glasses, hats, masks, or beards.
The parent company seeks to make FaceCheck.ID the leader in facial search and the number one portal for personal background checks in preventing scams and catfishing and become an essential safety check when meeting someone online.
Deep Learning in Facial Recognition Systems
The use of artificial intelligence to improve the accuracy of facial recognition algorithms is the hottest subject in the research community. Machine learning (called deep learning) uses large amounts of artificial neurons. Neural nets are similar to the the human brain in a way they can learn to recognize and match patterns.
What is Better Biometric Search or Face Recognition?
Face recognition and biometric search are common methods for finding people on the Internet. Both of the methods have disadvantages and pros, but which one is right?
Facial Recognition Search
Face recognition is a method of identifying somebody from a photo image. It compares images of faces with a database of known faces and can find a person even if they have sunglasses, hats, or masks.
Biometric search is an algorithm of searching for people based on their features, such as their eyes, mouth, iris, nose, distances between ears, and fingerprint. Often it can be used to search for people who are wanted by the police or have been arrested.
Both biometric search and face recognition have their cons and pros. Facial recognition is more common than biometric search, but it could make a mistake becasue of a person wearing hats, sunglasses, beards, and masks. Biometric technology is more accurate and is not likely to be fooled by variations in visual looks.
FaceCheck Doesn’t Use Biometric Algorithms
FaceCheck.ID doesn’t use biometric search or collect any biometric data, it uses state-of-the-art facial recognition.
Being Catfished? Visit Search by Face Site FaceCheck.ID
Software engineers at FaceCheck have been able to use supervised learning to train face recognition model to achieve better-than-human performance. As the accuracy of these AI algorithms continues to improve, we’ll see more practical applications for this technology. For more details go to http://FaceCheck.ID