View
❯
Live Video
❯AI decryption of magnetograms
Large Companies
Computer Vision - Gesture Recognition
General Public
Education - Accessibility
Chromosome segmentation and deep classification
Government
Defense & Military - Intelligence & Surveillance
Dialogue-based social care services for people with mental illness, dementia and the elderly living alone
Instant triaging of wounds
Large Companies
Small Companies
Entertainment and Media - Metadata Tagging
Intelligent Video Traffic Monitoring
Education - Automated Content Generators
Large Companies
Small Companies
Entertainment and Media - Subtitle Creation
Autonomous apron truck
Robotic prehension of objects
AI decryption of magnetograms
Government
Defense & Military - Autonomous Vehicle
Improvement of productivity of semiconductor manufacturing
Automated defect classification on product surfaces
Pre-screening of cavity and oral diseases based on 2D digital images
Intelligent technology to control manual operations via video Norma
Automatic classification tool for full size core
Real-time patient support and medical information service applying spoken dialogue system
AI situation explanation service for people with visual impairments
General Public
Education - Smart Learning Content
Autonomous trains (Unattended train operation (UTO))
AI sign language interpretation system for people with hearing impairment
Precision Farming as a Service
General Public
Computer Vision - Object & Activity recognition
Facilitating language learning of deaf people
Computer-aided diagnosis in medical imaging based on machine learning
Social humanoid technology capable of multi-modal context recognition and expression
Autonomous Robot Improves Surgical Precision Using AI
AI decryption of magnetograms
For:
ManufacturerGoal:
Improve Operation EfficiencyProblem addressed
Detection of internal defects (pits, ulcers, etc.)
Detection of structural elements (welds, bends, etc.)
Scope of use case
Oil and gas transportation. AI solution to quickly identify defects during the
quality assurance process on a field pipeline.
Description
In the territory of the Russian Federation, there are tens of
thousands of kilometres of small diameter production
pipelines under varying degrees of condition facing varying
numbers of internal defects (pits, ulcers, etc.) and structural
elements (welds, bends, etc.)
There are in-tube flaw detectors that allow the signal from
the magnetometer sensors to be read. These robots are not
widely used due to the speed of data interpretation.
Automation of the recognition of structural elements and
defects would reduce the pipeline diagnostics process by at
least 160 x
Live Video
AI: Perceive