This article introduces a new feature in the IRBIS web portal – search by face image. Subscribers can now upload a picture with a face on it, and IRBIS will provide a list of possible profiles from various social networks with a score of identity on each optional profile. This feature is also available for use through the API
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What to Expect from a Face Search Engine?
When using the image-based search feature in IRBIS web portal, users can expect to receive a list of possible profiles from various social networks. The search engine will analyze the image uploaded by the user and compare it to images found on the web, providing a score of identity on each profile. This can be particularly useful for investigators and researchers who are trying to identify individuals based on an image or profile picture.
One advantage of using image-based search is that it can provide results that are not possible through traditional keyword-based searches. By using advanced algorithms and facial recognition technology, image-based search can match images to profiles across various social networks and web platforms.
However, it is important to note that image-based search is not foolproof and may not always provide accurate results. The search engine relies on the quality and availability of images on the web, and sometimes the results can be skewed or inaccurate. Additionally, it is important to follow ethical and legal guidelines when using image-based search, as privacy concerns can arise when using someone’s image without their consent.
Overall, the image-based search feature in IRBIS web portal provides users with a new and advanced way to identify individuals and gather information through images. With its integration into the IRBIS API, the feature is easily accessible and can be integrated into various investigative and research workflows.