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❯Robotic prehension of objects
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
Robotic prehension of objects
For:
Customers, 3 rd parties, end users, communityGoal:
Improve Operation EfficiencyProblem addressed
Use reinforcement learning to train the robot to grasp misc. objects in simulation
and transfer this learning to real-life robots.
Scope of use case
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.
Description
It can be very difficult and time-consuming for users to
perform fine movements with a robot arm, like grasping
various household objects. To mitigate this problem,
attempts are made to give users the ability to control the arm
at a higher level of abstraction; thus, rather than specifying
each translation and rotation of the arm, we would like them
to be able to select an object to grasp, and have the arm grasp
it automatically. This requires some degree of computer
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vision to be able to detect objects in the robots field of view
(a camera would be affixed to its wrist).
With that achieved, we would be able to focus on grasping an
object selected from the detections. Based on current
literature on robotic grasping, one can be tempted to start
from a heuristic, geometric approach; that is, to use a set of
pre-established rules for picking up objects -- for example,
executing pincer grasps from the top along the thinnest
dimension of the object that is not too narrow to be grasped.
Such approaches work reasonably well in conditions that
match the restrictive assumptions on which the rules are
built, but fail when encountering even small deviations from
those conditions (for example, they do not adapt well to
clutter). Attempting to list and plan a proper response to all
such failure cases heuristically would be an exercise in
futility.
In contrast, approaches based on machine learning can
generalize to unforeseen or novel situations, and, as in the
case of object detection, generally perform better than
heuristic solutions. Machine learning-based approaches to
grasping and object manipulation vary widely. At the
simplest level, we can predict the likelihood of grasp success
based on an image patch of an object and a given angle of
approach. Robot control, in such cases, is beyond the scope
of the machine learning model. However, methods can scale
up to end-to-end systems that learn to control the robot at
the level of its joint actuators in response to a visual stimulus
consisting of a birds eye view of the arm and several objects
placed in a bin.
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Audio
AI: Perceive
Reinforcement learning
AI: Understand