Our Selected Stories

Success in creating AI would be the biggest event in human history and the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is a crucial part where the business is benefiting from rocket science. AI is already changing the way we live, the way communicate, the way we deal and produce – it is changing each part of human lives and unlocks new horizons for global growth.

— AI-BASED RPA SYSTEM —

IMAGE RECOGNITION FOR TURBINE MAINTENANCE

Wind Turbine robot – a unique repair solution for leading edges on turbine blades. Using an automatic BR-8 robot to do repair and maintenance work in the heights that uses geopositioning to figure out possible trajectories for the repair arm. To make the robot latch without human input, we taught it how to measure the distance between itself and the edge of the turbine blade. Classic computer vision methods helped to achieve a near-perfect distance prediction; the little deviation has no impact on BR-8’s work and is not a source of danger for the robot. CV also enables BR-8 to measure the angle between the robot and the blade edge, so manual repositioning of blades is not required for repairs.would have to handle this by itself, too.

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Python / C++ / C# / Machine Learning / Time Series Analysis / Mathematical Modelling / MongoDB / AWS / Azure / Docker / CI/CD / REST / WebsocketsClient: Rope Robotics

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R / Machine and Deep Learning / Azure Databricks / Docker Zpoken AI product: transcribe.zpoken.ai

— AI FOR SPEECH ANALYSIS —

AUTOMATED SPEECH RECOGNITION & NLP

Speech recognition platform that uses recurrent Neural Networksand audio signal processing to analyze audio files and transcribe speech from multiple speakers. The platform supports more than 10 languages including English STT, German STT, Spanish STT, Russian STT, Chinese STT, and more.Natural Language Processing models provide punctuation and text summarization with the ability to edit with time skips in the text editor.

— AI-BASED FARMING —

COMPUTER VISION & AI IN LIVESTOCK FARMING

Pigs.ai – a cloud-based SaaS solution that is using specialized depth
cameras at the livestock farms and allows to count, measure, and
weight animals in a non-invasive way to avoid stress. With the help
of AI it uses specialized behavior analysis algorithms to prevent
spread of infection among the animals. Unique AI algorithm allows
livestock operators to detect, measure and weigh animals in a
non-invasive way to avoid stress and decrease feed conversion ratio.
The estimated efficiency of this solution of about 5%.

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Python / C++ / C# / Machine Learning / Time Series Analysis / Mathematical Modelling / MongoDB / AWS / Azure / Docker / CI/CD / REST / Websockets
Client: Pigs AI Inc.

R / Machine and Deep Learning / Azure Databricks / Docker Zpoken AI product: Face recognition for Restaurant CRM

— AI FOR CLIENTS TRACKING —

FACIAL RECOGNITION FOR RESTAURANT CRM

Automatic face recognition technology based on the processing of a video stream of surveillance cameras uses a neural network and filtering algorithms to identify individuals and identify them when similar samples are found in the database. Analysis of restaurant visitors, their number, frequency of visits, number of regular visitors, frequency of business lunches visitors, food and drink preferences, return of visitors, the quality of the loyalty program.

— AI-BASED FARMING —

MILITARY MINES DETECTION FROM UAV

A software and hardware complex that detects and recognizes landmines from visual streams of drones and robots, thermal imagers, ground penetrating radars, aimed to build an interactive map of landmines positions on the particular territory. Based on visual feedback from the onboard camera, algorithms for landmine detection are applied. Technology covers also the design, implementation and integration of ground-penetrating radar (GPR) using software-defined radio (SDR) platform into the aerial drone.

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Python / C++ / C# / Machine Learning / Time Series Analysis / Mathematical Modelling / MongoDB / AWS / Azure / Docker / CI/CD / REST / WebsocketsClient: MinectAI Inc.

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