artificial-intelligence

ARTIFICIAL INTELLIGENCE

Our team has been working on the elements of AI since 2012. We are highly experienced in developing and deploying state-of-the-art algorithms using both traditional and novel Computer Vision, Machine Learning, Natural Language Processing, and Expert Systems methods. Our high-accurate solutions are integrated into many real-world applications related to health technology, agriculture, sports, virtual and augmented reality, security systems, and other areas.



 

Artificial Intelligence Driven Robot for Citrus Harvesting

Deep Learning based real-time orange detection, recognition, targeting and tracking with locating of orange 3D coordinates within 0.5 cm accuracy.

Software for Automatic License Plate Recognition

Software for automatic license plate recognition based on Computer Vision and Machine Learning techniques.

Software for Text Extraction from Videos and Other Media

Optical character recognition and text extraction from media.

Computer Vision Software for Face Feature Extraction

Computer Vision based software for face feature extraction to make them available for wide range applications including morphing, deformations, automated makeup, and plastic surgery simulations.

Software for Image Auto-completion (Inpainting)

Software for image inpainting and editing based on Image Processing and Computer Vision techniques.

Software for Alpha Mating Creation from Trimaps

Software for image editing and compilation using Computer Vision techniques.

Intelligent System for Vehicle Ongoing Maintenance

​​​​​​​Computer Vision, Machine Learning and Mechanical Engineering based Software System for ongoing automated visual diagnostics and maintenance of vehicles, such as aircraft, ships, trains, rockets, cars, etc.

Software System for Chip and Pins Segmentation

C++ based software system that determines the position of the chips, provides the number and length of pins, and identifies defects.

Safety Zone

C++, Python based software to detect people and equipment in real-time based on the streams received from the camera. It calculates the distance between each detected person and the danger zone and delivers an alert.