Smart Engines
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| Private company | |||
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| Founded | 2010 | ||
| Headquarters | Moscow , Russia | ||
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| Website | smartengines | ||
Smart Engines is a science and development company focused on the fundamental researches in the field of artificial intelligence, machine learning, document Pattern recognition, algorithmic optimization and Digital image processing.
Products include identity document recognition, Automatic identification and data capture, Optical character recognition, barcode reading and credit card scanning in the video stream and images. Smart Engines recognition systems are compliant with GDPR, California Consumer Privacy Act, Know your customer, Anti-money laundering regulations and are in use by organizations in such industries as banking, [1] [2] [3] telecom, [4] transportation, healthcare and verification services. [5] [6] [7]
Company
Smart Engines was founded in 2010 in Moscow by a group of scientists under Vladimir Arlazarov direction, doing research and developing algorithms of real-time recognition on mobile devices. Since 2015, Vladimir V. Arlazarov is Smart Engines CEO.
In 2015, Smart Engines algorithms took third place in the ICDAR smartphone document capture competition. [8]
In February 2017, the company introduced the technology for recognition of identity documents of Europe, the USA, Asia in video stream and photos on Mobile World Congress. [9]
In November 2017, the binarization method, proposed by Smart Engines researchers won ICDAR Document Image Binarization Competition (DIBCO 2017 [10]). [11]
In 2019, Smart Engines scientists under Vladimir Arlazarov direction introduced a dataset for identity document analysis and recognition on mobile devices MIDV. [12] [13]
In March 2020, Smart Engines signed a technical cooperation agreement with Tessi. [14]
In June 2020, Smart Engines team created algorithms and protocols which could be used to reduce the radiation dose of patients during X-ray CT scan. [15]
In September 2020, Smart Engines with the Green AI approach joined the United Nations Global Compact. [16]
References
- ↑ "Tinkoff Bank rolls out Smart Engines technologies to enable QR-based payments". The Paypers. 2020-06-19. Retrieved 2021-02-24.
- ↑ "VisionLabs and Smart Engines partner on Emirates NBD solution". Planet Biometrics. 2021-01-13. Retrieved 2021-02-24.
- ↑ "NNTC and Smart Engines implement digital onboarding at Oman Arab Bank". Finextra. 2021-02-10. Retrieved 2021-02-24.
- ↑ "Megafon adopts new tools to speed up in-store SIM sales". Telecompaper. 2019-04-08. Retrieved 2021-02-24.
- ↑ "Smart Engines delivers OCR for biometric age checks". Biometric Update. 2020-06-25. Retrieved 2021-02-24.
- ↑ Lau, Courtney (December 2019). "Identity verification service Blockpass advances its KYC solution with Smart Engines". Blockpass. Retrieved 2021-02-24.
- ↑ "iDenfy team up with Smart Engines to upgrade its identity verification tech". The Paypers. 2020-12-18. Retrieved 2021-02-24.
- ↑ J. Buri; J. Chazalon; et al. (2015). "ICDAR2015 competition on smartphone document capture and OCR (SmartDoc)". IEEE Xplore. doi:10.1109/ICDAR.2015.7333943. Retrieved 2021-02-24.
- ↑ "MWC-2017. New technologies for mobile recognition". Sudonull. 2017-02-22. Retrieved 2021-02-24.
- ↑ "ICDAR 2017 Document Image Binarization Competition". Visual Computing Group, DIBCO 2017. Retrieved 2021-02-24.
- ↑ I. Pratikakis; K. Zagoris; G. Barlas; et al. (2017). "ICDAR2017 Competition on Document Image Binarization (DIBCO 2017)". IEEE Xplore. doi:10.1109/ICDAR.2017.228. Retrieved 2021-02-24.
- ↑ V.V. Arlazarov; K. Bulatov; et al. (2019). "MIDV-500: a dataset for identity document analysis and recognition on mobile devices in video stream" (PDF). Computer Optics. doi:10.18287/2412-6179-2019-43-5-818-824. Retrieved 2021-02-24.
- ↑ V. Arlazarov; K. Bulatov; et al. (2020). "MIDV-2019: challenges of the modern mobile-based document OCR". SPIE Digital Library. doi:10.1117/12.2558438. Retrieved 2021-02-24.
- ↑ "Tessi to provide ID document data capturing from new partner Smart Engines to European enterprises". Biometric Update. 2020-03-03. Retrieved 2021-02-24.
- ↑ K. Bulatov; M. Chukalina; et al. (2019). "Monitored Reconstruction: Computed Tomography as an Anytime Algorithm". Computer Optics. doi:10.1109/ACCESS.2020.3002019. Retrieved 2021-02-24.
- ↑ "UN Global Compact". UNGC. 2020-09-28. Retrieved 2021-02-24.
External links
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