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DeepSight Toolkit
This Toolkit is an easy-to-use cross-platform solution that enables you to detect and analyze multiple faces using just one application. The software is deep learning-based and gives you accurate insights into the behavior of your audience in real-world environments. Insights include; attention time, smile detection, mask detection, age, gender, and head pose estimation to name only a few. It is easy to operate with no hard coding expertise needed.

DeepSight SDK
Our DeepSight Software Development Kit (SDK) is based on Deep Learning and has been built in-house by our highly skilled team of computer vision experts. DeepSight SDK is excellent at detecting faces – it can be an ideal solution for face-based people counting and face blurring in live video to comply with privacy laws. C++ expertise needed.

Face Match is a technology that enables users to verify whether two images of a face belong to the same person. Using Face Match you can detect and track all the faces in video streams in real-time and compare the similarity of two faces efficiently and accurately. Key product use cases: KYC, Access Control, and Payment Solutions.

A Cloud-based web service that allows you to use face analysis functionalities in any online application with just a few lines of code.

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Co-founder and Chief Scientific Officer @Sightcorp Full Professor in Computer Vision at UvA Part-time Professor at the Computer Vision Centre(UAB) in Barcelona
Ph.D in Machine Learning and Computer Vision, founder of ThirdSight, Sightcorp. Focusing on blockchain enabled convergence of AI and IoT for societal impacts.