CDC Group provides artificial intelligence systems developers with highly qualified personnel for architecture design and development of server and mobile machine learning systems.
Team
A separate company in the structure of CDC Group: 10+ leading experts in the field of machine learning and C ++ with work experience from 3 to 12 years, authors of scientific articles, teachers, experienced annotators.
An experience
ML Projects
- Real-time recognition of goods and price tags in the Retail / FMCG sector.
- Predicting the likelihood of having COVID-19 based on the main symptoms.
- Predicting the rating of the future movie.
- Increase the sharpness of the photo.
- Diagnosis of X-ray mammological images.
- Monitoring of activities on the construction site: machinery, machines, people, timber, location of objects, length, width.
- Generation of facial images with new attributes and new poses while maintaining individuality.
- Synthesis of emotional speech based on generative adversarial network (GAN).
- Research and development work (R&D) for the recognition of road signs and traffic lights.
- Time series analysis to predict call center load.
- Recognition on a small device of cars, traffic rules, objects on the road.
- Generation of synthetic data and training on them (Unreal Engine C ++), tuning models, optimization of models for working in real time.
- Data analysis for humanitarian scientific works, sociological statistical models, sentiment analysis.
- Identification of defects in soldering.
Related tasks / projects:
- Development of B2B / B2C mobile applications on iOS, Android, Windows (UWP) platforms in the areas of trade, logistics, MRO, monitoring, document flow, etc.
- Development of software for automated storage complexes, industrial complexes: packaging machines, dosing devices, conveyors, etc.
- Software development for STM32 microcontrollers and PC Raspberry PI 3B +.
- Development of a software package for processing flight information.
- Development of VLSI.
Key benefits
- КML / DL Computer Vision: detection and segmentation of objects, classification of images, analysis of time series.
- Natural Language Processing: text analysis, text generation, Speech to Text, Text to Speech.
- Plain Data Analysis: solving problems of classification, regression approaches ML / DL, statistics on flat, tabular data.