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Autonomous trains (Unattended train operation (UTO))

Large Companies
Computer Vision - Gesture Recognition
For:
Certification examiners.
Scope:
How Gesture Recognition authentication uncovered mortgage licensing fraud.
Goal:
Anticipate Risks
General Public
Education - Accessibility
For:
Deaf and hard of hearing (DHH), and non-native speaking academic students.
Scope:
Captioning lecturer's speech to improve the learning experience of Deaf and Hard of Hearing students.
Goal:
Improved Customer Experience, Improved Operation
Chromosome segmentation and deep classification
For:
Hospitals, doctors, cytogeneticists, patients
Scope:
Karyotyping of chromosomes is restricted to healthy patients.
Goal:
Improved Product Development / R&D
Government
Defense & Military - Intelligence & Surveillance
For:
Soldiers
Scope:
Reducing the requirement for manual monitoring in insurgency-hit areas with Smart Surveillance.
Goal:
Anticipate Risks
Dialogue-based social care services for people with mental illness, dementia and the elderly living alone
For:
Government or public institutions
Scope:
Daily life support AI services that provide an interaction with humans using natural language
Goal:
Improved Customer Experience
Instant triaging of wounds
For:
Wound nurses, diabetes patients, hospitals
Scope:
Build an AI solution to augment triaging decisions by wound nurses.
Goal:
Improved Employee Efficiency
Large Companies
Small Companies
Entertainment and Media - Metadata Tagging
For:
Digital asset managers.
Scope:
Realizing the value of historical sporting digital media assets by using Artificial Intelligence (AI) to assist in doing the work of 15 interns.
Goal:
Improved Product Development / R&D, Improve Operation Efficiency
Intelligent Video Traffic Monitoring
For:
Traffic Management Officials
Education - Automated Content Generators
For:
Online course creators.
Scope:
Intelligently generate, curate, and recommend content educational content.
Goal:
Improved Customer Experience
Large Companies
Small Companies
Entertainment and Media - Subtitle Creation
For:
Content creators
Scope:
Creating efficiencies for content creators via automatic subtitle creation for social video.
Goal:
Improved Employee Efficiency
Autonomous apron truck
For:
Transporter
Scope:
Automated transportation of luggage (carts) to requested destinations on an airport apron while following local traffic rules and resolving unplanned conflicts.
Goal:
Improve Operation Efficiency
Robotic prehension of objects
For:
Customers, 3 rd parties, end users, community
Scope:
Outputting the end effector velocity and rotation vector in response to the view from a red green blue depth (RGB-D) camera located on a robot's wrist.
Goal:
Improve Operation Efficiency
AI decryption of magnetograms
For:
Manufacturer
Scope:
Oil and gas transportation. AI solution to quickly identify defects during the quality assurance process on a field pipeline.
Goal:
Improve Operation Efficiency
Government
Defense & Military - Autonomous Vehicle
For:
Military Operatives.
Scope:
Using computer vision to implement perimeter safety for Autonomous Vehicles.
Goal:
Improved Product Development / R&D
Improvement of productivity of semiconductor manufacturing
For:
Executives of semiconductor manufacturing companies
Scope:
Analysis of data taken from production equipment and improvement of productivity based on the analysis.
Goal:
Other
Automated defect classification on product surfaces
For:
Sanitary industries
Scope:
Image analytics for water taps in sanitary industries.
Goal:
Other
Pre-screening of cavity and oral diseases based on 2D digital images
For:
Dentist Public
Scope:
Artificial intelligence-based oral examination platform.
Goal:
Other
Intelligent technology to control manual operations via video Norma
For:
Industrial enterprises, repair enterprises, repair shops, operators of engineering products.
Scope:
Tooltip visualization technology (augmented reality) based on technological process and manual operations control in the assembly, maintenance, and repair of engineering products.
Goal:
Other
Automatic classification tool for full size core
For:
Manufacturer, geologist
Scope:
Oil and Gas exploration, classification of rock types, oil saturation, carbonate and fracture according to core images
Goal:
Other
Real-time patient support and medical information service applying spoken dialogue system
For:
Dentist Hospital
Scope:
Medical business support system using artificial intelligence-based human- computer interface technology.
Goal:
Other
AI situation explanation service for people with visual impairments
For:
Personal services
Scope:
A real-time situation explanation service through voice for people with visual impairments
Goal:
Improved Customer Experience
General Public
Education - Smart Learning Content
For:
Online course creators and online learners.
Scope:
Empowering course creators to focus on complex decision-making and creativity with Computer Vision and Natural Language Processing.
Goal:
Improved Employee Efficiency
Autonomous trains (Unattended train operation (UTO))
Scope:
Freight and passenger trains operate autonomously, excluding any crew presence on board, but with remote operator attention involved.
Goal:
Improve Operation Efficiency
AI sign language interpretation system for people with hearing impairment
For:
Government or public institutions
Scope:
Increase the convenience of public services to people with hearing impairment by providing a service to translate sign language image information into natural language
Goal:
Improved Customer Experience
Precision Farming as a Service
For:
Farmers
Scope:
Use visual recognition to identify and help fight parasites attacking organic farms.
Goal:
Anticipate Risks, Improve Operation Efficiency
General Public
Computer Vision - Object & Activity recognition
For:
Commuters
Scope:
Using computer vision to enable Smart Parking solutions for realtime parking availability.
Goal:
Improved Customer Experience
Facilitating language learning of deaf people
Scope:
Use of advanced and multimodal sensing ability to facilitate a complex task.
Goal:
Improved Customer Experience
Computer-aided diagnosis in medical imaging based on machine learning
Scope:
Detecting image anomalies.
Goal:
Improve Operation Efficiency
Social humanoid technology capable of multi-modal context recognition and expression
For:
Dialogue service services using display devices Service robot
Scope:
Human-AI sympathetic technology expressing dynamic immersive dialogue with humans through a combination of various artificial intelligence technologies
Goal:
Other
Autonomous Robot Improves Surgical Precision Using AI
For:
Hospitals using Autonomous robotic surgery via the STAR system
Goal:
Improve Operation Efficiency

Autonomous trains (Unattended train operation (UTO))

Goal:
Improve Operation Efficiency
Problem addressed
The critical objective of automation in trains is to provide extra reliability and
safety and to prevent accidents on railways, which tend to be caused by human
error. Moreover, the provided innovation leads to energy consumption
optimization, transport capacity increases, and, eventually, possible reduction of
personnel costs due to the autonomous operation.
Scope of use case
Freight and passenger trains operate autonomously, excluding any crew
presence on board, but with remote operator attention involved.
Description
There is a lot of information about self-driving automobiles.
Developing computer vision technology, reliable navigation,
and radio communication makes creating self-driving trains
technologically feasible.
Compared to cars, trains have a long braking distance. This
means that autonomous trains are expected to have a unique
obstacle detection system, which can spot obstacles up to 1
000 m away and more.
Both conventional and autonomous railway systems consist
of fleet and infrastructure. Current interaction between
locomotive and dispatcher is realized by voice
communication. For autonomous train use, digital
communication with formal commands for train control is
necessary.
Key AI development realized into the obstacle detection
module can be achieved with both computer vision methods
by processing data received from sensors (LIDARs, RADARs,
infrared and electro-optical cameras) and by positioning and
localization based on prior electronic map information and
obtained data from GPS information. This system can work
under differences in light, weather, and timing conditions.
The data collected from sensors with a varied range of
actions and purposes is processed by classical image analysis
and deep learning approaches; it is then fused. Methods such
as semantic segmentation, object detection, LIDAR points
clustering, tracking, localization, and mapping are used. All
in all, this leads to clear scene perception and safety system
responses. The machine can trigger the alarm, halt, apply the
brakes, or accelerate based on information about the
environment.
However, a remote driver is still needed to resolve
complicated cases, which the on-board system is not able to
process correctly. Considering that the system's priority is
safety, such examples most commonly include false-positive
object occurrences. It is important to stress that one remote
driver operator can control the performance of several
automated trains at the same time.
Three autonomous shunting locomotives are already in
operation at Luzhskaya Marshalling Yard in Moscow, Russia;
and parallel deployment for passenger trains is currently
under testing on the Moscow Central Ring.
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