28.03.2024 — Blog
PAPILLON’s subsidiary presented its novel solutions in Moscow3DiVi Product Director attended the Robotics and Artificial Intelligence Conference and shared his experience of using Edge AI
Leer más11.12.2023 — Blog
109 schoolchildren visited PAPILLONIn the fall of 2023, PAPILLON joined the All-Russian project «Visiting a Scientist». From September to November, schoolchildren from all over the country were getting acquainted with the world of science and visiting enterprises producing high-end equipment.
Leer más14.06.2023 — Blog
3DiVi has launched an online course on Computer Vision and Machine LearningThe 3-month course includes 12 video lectures, practical and homework activities. 140 novice programmers in the field of Computer Vision have become students who signed up on the training platform of 3DiVi’s School of Computer Vision.
Leer más20.01.2023 — Blog
3DIVI teaches students how to launch international IT projectsPRIMA corporate accelerator is about to start in February 2023 and will last for five months. Applicants and selected candidates will be able to create their own startup in the field of computer vision and bring it to the world market.
Leer más16.12.2022 — Blog
3DIVI presents new facial biometric algorithmsThe innovative algorithm developed by 3DIVI evaluates the quality of face images and reduces false positives when recognizing faces.
Leer más06.04.2021 — Blog
Capabilities of face recognition are becoming wider3DiVi has released updates for Face SDK v3.8.0. Among its main improvements are «Mask-on-face» Detector and Unity plugin for face animation.
Leer más11.07.2019 — Blog
Intel introduced Chelyabinsk product at the USA expoIntel demonstrated the Nuitrack skeleton tracking software developed by 3DiVi Inc, company from Chelyabinsk, at CVPR2019 Expo on June 16-20, 2019.
Leer más23.10.2018 — Blog
A system that recognizes twinsIt is no secret that PAPILLON using 3DiVi’s algorithms is developing its own solutions for face recognition. The algorithms are already so perfect that they recognize faces taken not only full-face, but also half-turned, tilted, and even in a medical mask.
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