Moscow

Locksystems

smart_home

biometry

Huse lock

Rostelecom

fintech

computer_vision

artificial_intelligence

NtechLab

video_analytics

video_surveillance

covidtech

recognition

FindFace Multi 

Moscow_Transport_Department

facial_recognition

Face Pay

Speech_Technology_Center

System for forensic record keeping and biometric search

identification

security

VoiceGrid

Examus

Remote proctoring solution for online exams integrity

EdTech

remote_learning

Программное обеспечение для контроля экзаменационных испытаний, которые проводятся в режиме онлайн. Алгоритм программы может по видео с web-камеры обнаружить сразу несколько ситуаций, которых на экзамене следует избегать. Он может по лицу тестируемого определить попытку сдать экзамен за другого студента, или сообщить наблюдателю, что сдающий слишком часто смотрит в сторону и, вероятно, списывает.

Программа может заметить и смену активного окна на компьютере студента, и появление перед монитором постороннего человека. Алгоритм можно настроить для каждого сдающего: действия человека во время экзамена сравниваются с обычным для него поведением. За время учебы программа запоминает характерный для каждого студента стиль поведения, насколько часто он отводит взгляд. Например, если студент всегда сосредоточен на заданиях, и вдруг начинает подолгу смотреть в сторону.

Экзамус

FindFace Security allows you to process video streams from hundreds of thousands of cameras and compare face images with monitoring lists of billions of faces without sacrificing quality and speed. The solution allows you to identify persons and prevent crimes. Locating missing people and offenders, as well as tracking their routes of movement, is performed in a split second.

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The NtechLab algorithm finds&nbsp;faces, even if significant age-related changes have occurred, a beard or mustache appears, glasses are worn, part of the face is covered. Algorithm's leadership in the accuracy and speed has been confirmed by victories in competitions from the US National Institute of Standards and Technology (NIST), Amazon and the US Intelligence Advanced Research Agency (IARPA).

Intelligent video analytics based on face recognition

FindFace Security

Logistix

LEAD WMS is an adaptable industrial-level warehouse management system that provides maximum coverage of the processes of logistics complexes and the possibility of expanding the functionality in the future. LEAD WMS systems ensure the automation of both the main business processes of warehouse logistics and complex solutions that provide the most efficient management of labor resources, machinery and production equipment to minimize overhead costs, increase the level of service and the overall productivity of the warehouse.

The system includes several solutions. Module 3D warehouse VR: virtual monitoring of warehouse operation (desktop or helmet). Pick-by-Vision - AR based on Augmented Reality Glasses: Hands-Free Mode for up to 15% higher picking efficiency compared to Pick-by-Voice. Automatic defect recognition - monitoring the integrity of the package using the technology of pattern recognition using neural networks (AI). Visualization and modeling - modeling and control of the execution of processes and operations, creation of simulation models, “heating” map. Biotelemetry - analysis of the physical condition of employees using fitness bracelets and adaptive load distribution in the warehouse. Data analysis, deviations forecasting - identifying indirect factors that affect KPIs using artificial intelligence.

warehouse

Lead WMS

Neurocore

The system operates with different lighting, camera quality and location of objects. More than 10 thousand &nbsp; images of people of different sex and age were used while creating the module.

It works with various types of computing power: both processors and video cards. As of April 2020, the system operates using API connection.

Neurocore: facial recognition

The product is developed on the basis of FindFace.PRO algorithm, the technology allows to recognize face, verify and identify it, determine sex, age and emotions.

The product works with images and video streaming, and uses video detector with the latter. the system is used in video analytics, fraud prevention and access control.

 The system is used in retail, banking, organization of sports and other events, interior and public security and other spheres. FindFace Enterprise Server SDK uses its own neuronet. Identification accuracy is over 95% and verification accuracy exceeds 99%. FindFace Enterprise Server SDK 2.0 system works on a personal server.

neural_networks

FindFace Enterprise Server SDK

ICT.Moscow  — Tech Solutions

Tech Solutions

Huse lock

UBS

FindFace Multi

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Face Pay

VoiceGrid

Examus

Экзамус

FindFace Security

Lead WMS

Neurocore: facial recognition

FindFace Enterprise Server SDK

Tech Solutions

Huse lock

UBS

FindFace Multi

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Face Pay

VoiceGrid

Examus

Экзамус

FindFace Security

Lead WMS

Neurocore: facial recognition

FindFace Enterprise Server SDK

add your project!
fill out the form