The search engine has advanced tremendously in the last 20 years. This has motivated developers to create a unique product that can function not only on printed material, but also on visual material. It is not difficult to find a person in a social network or to find the necessary contact information to solve corporate issues. A great option would be to apply reverse image search or face search. It acts on machine learning algorithm and computer vision to identify and find people in photos or videos.
Targeted use
Finding a person from an image or photo can be used for various purposes. These are:
- personal identification – information about people users don't know;
- security – finding missing people or suspects;
- copyright protection – detecting illegal use of images, such as photos published without permission;
- marketing – brands can analyze who is using their products and how this relates to their target audience;
- anti-abuse – helps recognize fraud or identity theft if the same image is used on different sites or fake accounts;
- arts and culture – institutions are using this technology to recover and identify historical figures in images.
So, some owners of modern devices perform a person search by image to get more information about a person. With this option, you can get links to other photos or profiles associated with the same person. The function also serves to find a person's social media profiles. It is a great opportunity to establish lost connections and gather data about a person without violating their personal boundaries.
Principle of operation of reverse person search by photo
Searching for a person by image is based on several key technologies. The main steps of the process include:
- Image processing. First, the system analyzes the uploaded photo to identify faces. This can be accomplished using X-ray contact.
- Face identification. Once the faces in the picture have been detected, the system uses match recognition algorithms such as DeepFace or FaceNet to convert the raw data into numerical vectors. This allows to efficiently compare and search for matches in large databases.
- Search and match. The resulting vectors are compared with existing data in the database. In case of a match, users can get information about the found person, including his biography and materials about hobbies and preferences.
Getting information about a person is now becoming much easier. A well-programmed process enables web users to find individuals efficiently and quickly by applying the state-of-the-art X-ray contact program
Benefits of using X-ray contact for visual search
Reverse photo search for a person using X-ray contact technology has a number of advantages, especially in domestic and commercial applications. These are:
- Accuracy and reliability of information. The system's technology can use photos to find more accurate and up-to-date data about a person, including their corporate contacts, workplace information, and professional affiliations.
- Search anonymity. Unlike other systems, X-ray contact allows searches to be conducted anonymously without notifying the person being searched that their data is being viewed.
- Extensive database. It is integrated with various world-renowned marketplaces such as LinkedIn, giving access to an extensive database of contacts and information about an individual.
- Identification by partial information. Even if a user only has a photo or minimal information about a person, X-ray contact can help find detailed data about him by matching the image with various sources.
- Search automation. The search process is automated, saving time and effort compared to manual information gathering.
This type of technology can be useful for recruiters, human resources specialists, and anyone who checks business information or searches for contacts for business purposes. In addition, owners of modern gadgets can safely use this search engine for personal purposes. This powerful tool has a wide range of capabilities and potential regulatory risks, which will be further regulated at a high level.
