Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
Learn more
Lenso.ai, a tool for AI image searches, allows you to search for images based on your interests. Lenso.ai uses advanced AI technology to allow you to search for images, places, people, duplicates and related images.
Lenso.ai reverse image search is more accurate and efficient than traditional image searches. Lenso.ai, an AI-powered reverse imaging tool, analyzes the image you are searching for quickly, identifying only the best matches. Searching by image is easy with lenso.ai, and it doesn't require any special skills or knowledge.
Reverse image search is designed to fit diverse needs, whether you're a professional photographer looking for different places/landscapes/landmarks, a marketer searching for related or similar images, an enthusiast exploring the duplicates/copyright or you want to protect your privacy using face search.
Learn more
VeriEye SDK
The VeriEye SDK provides sophisticated iris recognition capabilities for both standalone and client-server biometric solutions, ensuring high levels of security. Designed specifically for developers and system integrators, it boasts quick and precise matching that has been confirmed through evaluations by NIST IREX.
Utilizing a proprietary algorithm, it effectively segments and identifies irises even in challenging conditions such as partial eyelid obstruction and varying light environments. Additionally, its adaptive shape modeling technology guarantees accurate boundary detection, accommodating iris shapes that may deviate from standard circles or ellipses.
To safeguard against spoofing attempts involving photos or patterned contact lenses, the SDK incorporates liveness detection features. Furthermore, the automatic separation of left and right irises enhances processing efficiency. Image quality assessments ensure that only top-tier templates are stored, thereby supporting reliable performance for both 1-to-1 and 1-to-many comparisons. The SDK is compatible with multiple operating systems, including Windows, Linux, macOS, iOS, and Android, and offers programming support in a range of languages such as C/C++, C#, VB .NET, Java, and Python, making it a versatile and robust solution for contemporary biometric applications. As the demand for biometric security solutions continues to grow, VeriEye's extensive capabilities position it as a leader in the field.
Learn more
Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
Learn more
