Welcome to iApp Technology Co., Ltd's Face Spoofing Check AI API Documentation. Our Face Spoofing Check API is a powerful tool that allows you to determine whether an input face image is genuine or fake. This API utilizes advanced deep learning techniques to accurately detect various types of spoofing attacks, such as printed photos, realistic face mask for impersonation, taken face photo from computer screen, and video replays.
Our Face Spoofing Check AI API has been trained on a large dataset of real and fake face images, resulting in an accuracy of over 99.43% tested over 7,680 instances. This high accuracy rate makes our API a reliable choice for organizations and businesses that require secure face recognition systems.
To use our API, simply provide an input image to our API endpoint, and our system will analyze the image and return a response indicating whether the image is real or fake. Our API supports various image formats, including PNG, JPEG, and BMP, and can be easily integrated into your existing systems through our RESTful API interface.
We understand the importance of security in today's digital age, and our Face Spoofing Check AI API is just one of the many ways we strive to provide innovative solutions that help protect your organization and your customers. Thank you for considering iApp Technology Co., Ltd's Face Spoofing Check AI API for your face recognition needs.
Over 99.43% Accuracy of our Face Spoofing Check AI API
Example of fake face digital photo by taken photo from computer screen.
Fake face digital photo by taken photo from computer screen.