Computer Vision

Virtual Reality Technology is an interactive/immersive computer-generated experience that takes
place within a simulated environment, by way of a virtual reality headset, incorporating auditory and
visual feedback into a user’s actual or imaginary environment. The user is able to move around the
artificial world, and interact with virtual features or items.
An E-commerce development company these days, has come a long way from a possibly original
plan to reach larger (and global) audiences, and the companies who have played in the e-commerce
development space must be deliberate about fixing the drawbacks of shopping online. VR
Technology allows e-commerce retailers a technology to reach masses with an experience that almost
equivalent to a traditional shopping one minus the hassles associated with traffic and parking hassles,
or the hassle of filling return slips and awaiting refunds because an outfit did not fit, or came in the
wrong colour.
e-Commerce and VR Technology work hand-in-hand, as they are both real-life experiences that are
digitally replicated. VR can significantly complement e-commerce companies by creating memorable
customer experience that will remain in the mind of the customer, long after they have signed off
the web page. It will significantly reduce drop-off ratios and encourage repeat purchases.
Virtual Reality Technology can also create a virtual reality environment by use of a browser or an
app, so shoppers do not always require the VR Headsets for a simulated virtual reality. Some e-
commerce companies have already started to integrate augmented virtual reality technology in a bid
to maintain competitive advantage and to enhance the shopping experience of customers who will
not set foot in their stores. Large retailers such as IKEA, e-Bay and Sephora have invested
significantly in VR Technology, in order to exploit the huge potential of VR in e-commerce.
VR Technology allows e-commerce shoppers try on different dresses and match them with different
accessories, deliberately engaging them, as against the regular selection of a dress simply by reading
the product description.
In addition to reducing drop-off ratios, the use of VR Technologies by e-commerce operations will
create awareness for the e-commerce companies that adopt it, as customers share their experience
on social media. VR Technology also gives users a better perspective of the items they want to buy,
and better demonstrates a product’s worth.
With VR Technology, you can show customers how you source the raw materials required to make a
product, show them how the raw materials are cured/mixed/put together, show them how quality
assurance tests are carried out, and how the final product then arrives at the store.
With VR Technology, customers can simulate how furniture will look in their apartment. Customers
can gauge how a paint colour would look – before they actually paint any room. For an e-commerce
company that provides services, using VR Technology, they can show a customer the type of work
that needs to be done, and where appropriate, how far they have gone with the work. Fashion
powerhouses will be able to give their customers a front-row seat to seasonal fashion shows through
VR technology.


Virtual Reality Technology has become more mainstream, and is becoming an increasing marketing
tool for businesses, particularly in respect to customer service and live events. It is in fact expected
to become more accessible and to gain a mass market appeal. VR embroidered into the
development of e-commerce is a win all-round, as the User Experience for customers is greatly

improved, while for the e-commerce company, it significantly improves the opportunities to cross-
sell and track customer behaviour.

 

India- Global Computer Vision Market Emerging Technologies, Sales Revenue, Competitive Strategies and Industry Estimated to Rise Profitably with 8.2% CAGR - Google, Facebook, NVIDIA, Wikitude, SICK, GE

MENAFN - GetNews) Global Computer Vision Market, By Component (Hardware, Cameras, Frame Rate and others), By Product (PC Based and Smart Camera Based), By Software (Traditional and Deep Learning), By Application (Quality Control and Inspection, Positioning and Guidance and others), By Vertical (Industrial and Non-Industrial) and By Geographical Segments (North America, Asia Pacific, South America and others)- Industry Trends and Forecast to 2025 Computer vision is a branch of software engineering which manages distinguishing and preparing pictures to provide output like person. Fundamentally it is giving the capacity of human vision to a computer. It makes the utilization of artificial intelligence to distinguish and translate what the picture really is about. Computer vision gives comes about in light of perception and translates the following activity. For example, PC vision in car watches the surroundings, for example, path dividers, movement lights and hindrances and act as per it. The vehicle stops naturally if a sudden obstruction is watched. This activity is prepared by machine vision frameworks combined with artificial intelligence which helps in controlling of the automobile.

Computer vision is a vital part of the internet of things. Robots in industries are suitable for identifying the defective items, flights and drones are fit for maintaining a strategic distance from obstructions through vision handling, cars fit for staying away from deterrents and finishing signals manmade brainpower are present drifting uses of PC vision innovation. Progressions in artificial intelligence especially in deep learning have accelerated the computer vision showcase development. Deep learning provides the engineers in recognizing the articles without breaking a sweat and can be prepared through an arrangement of projects which can build the exactness. Tesla, Inc. an American company which is specialized in electric automobiles partnered with AMD to develop their own AI chip for self-driving cars. The AMD chipsets will be capable of using deep learning techniques and algorithms to detect objects in their path.

The Global Computer Vision Market accounted for USD 11.12 billion in 2017 and is projected to grow at a CAGR of 8.2% the forecast period of 2018 to 2025.

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GlobalComputer VisionResearch for a Leading company is an intelligent process of gathering and analyzing the numerical data related to services and products. This Research Give idea to aims at your targeted customer understands needs and wants. Also, reveals how effectively a company can meet their requirements. The market research collects data about the customers, marketing strategy, competitors. TheComputer Visionindustry is becoming increasingly dynamic and innovative, with more number of private players entering the industry.

Key Players/Vendors: Global Computer Vision Market

Company profiled in this report based onBusinessoverview, Financial data, Product landscape, Strategic outlook & SWOT analysis:

Google, Facebook, Microsoft, NVIDIA, Texas Instruments, KLA-Tencor, Mercedes-Benz USA, Mercedes-Benz, IBM, Autoliv, PlayfulVision, Wikitude, Cognex Corporation, National Instruments, GE, VideoIQ, Basler AG, OMRON Group, Synopsys Inc, SICK, Omron Industrial Automation Europe, KEYENCE CORPORATION, Sony, Teledyne Technologies Incorporated, Intel Corporation, Baumer Group, Baumer Optronic GmbH, Tordivel AS, ISRA VISION, MVTec Software GmbH, Cadence Design Systems, CEVA, Inc., Omron Automation Americas, OMRON Asia Pacific, JAI A/S and others

Research Methodology: Global Computer Vision Market

 

 

  • Primary Respondents: OEMs, Manufacturers, Engineers, Industrial Professionals.
  • Industry Participants: CEO's, V.P.'s, Marketing/Product Managers, Market Intelligence Managers and, National Sales Managers

Table of Contents: Global Computer Vision Market

 

 

 

  • 1. Executive Summary
  • 2. Scope/opportunities of the Report
  • 3. Research Methodology
  • 4. Market Landscape
  • Market ecosystem
  • Market characteristics
  • Market segmentation analysis
  • 5.Pipeline Analysis
  • Pipeline analysis
  • 6.Market Sizing
  • Market definition
  • Market sizing
  • Market size and forecast
  • 7.Porter's Five Forces Analysis
  • Bargaining power of buyers
  • Bargaining power of suppliers
  • Threat of new entrants
  • Threat of substitutes
  • Threat of rivalry
  • Market condition
  • 8.Market Segmentation
  • Segmentation
  • Comparison
  • Market opportunity
  • 9.Customer Landscape
  • 10. Regional Landscape
  • Geographical segmentation
  • Regional comparison
  • Europe
  • MEA
  • APAC
  • North America
  • South America
  • Market opportunity
  • 11. Business Decision Framework
  • 12. Drivers And Challenges
  • Market challenges
  • Market drivers
  • 13. Market Key Trends
  • 14. Players Landscape
  • Overview
  • Landscape disruption
  • 15. Players Analysis
  • Players covered
  • Players classification
  • Market positioning of Players
  • 16. Appendix
  • List of abbreviations

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Major Market Drivers & Market Restraint: Global Computer Vision Market

 

  • Demand for image and video analysis applications from various industry segments.
  • Adoption of artificial intelligence into the business segments.
  • Rapid technological disruptions in the field of advanced safety systems.
  • Huge investment costs.
  • Lack of skilled workforce.
  • Inadequate ability to develop well-structured algorithms for drones featuring artificial intelligence.

Market Segmentation: Global Computer Vision Market

 

By Geography

 

  • North America (US, Canada, Mexico) {Market Revenue (USD Billion), Growth Analysis (%) and Opportunity Analysis}
  • Europe (Russia, Turkey, Belgium, Netherlands, Switzerland, Spain, France, Germany, Italy, UK, Rest of Europe {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
  • Asia Pacific (China, South Korea, Japan, India, Australia, Singapore, Thailand, Indonesia, Malaysia, Philippines, Rest of Asia-Pacific) {Market Revenue (USD Billion), Growth Analysis (%) and Opportunity Analysis}
  • South America (Brazil, Argentina, Rest of South America) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
  • Middle East and Africa (South Africa, Egypt, Saudi Arabia, United Arab Emirates, Israel, Rest of Middle East and Africa) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}

Based on software, the global computer vision market is segmented into and

 

 

 

  • Traditional software
  • Deep learning software.

Based on component, the global computer vision market is segmented into

 

 

 

  • hardware,
  • cameras,
  • frame rate,
  • format,
  • standard,
  • sensor,
  • frame grabbers,
  • optics,
  • LED lighting,
  • processors,
  • FPGAS,
  • DSPS,
  • microcontrollers and microprocessors,
  • Visual processing units and others.

Based on product, the global computer vision market is segmented into

 

  •     PC based
  • Smart camera based.

Based on vertical, the global computer vision market is segmented into

 

  • Industrial
  • Non-industrial

Industrial segment is further sub segmented into automotive, electronics & semiconductor, consumer electronics, glass, metals, wood & paper, pharmaceuticals, food & packaging, rubber & plastics, printing, machinery, solar panel manufacturing and textiles. The non-industrial segment is further sub segmented into healthcare, postal & logistics, intelligent transportation systems security & surveillance, agriculture, consumer electronics, autonomous and semiautonomous vehicles, sports and entertainment and retail.

 

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Read Source Article:Menafn

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What is computer vision?

Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images,
and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.

 

Present Applications of Computer Vision

Fortunately, we have made sufficient progress in the field of computer vision for applications which are actually in use today.
As mentioned by Ching Y. Suen in the Proceedings of the Third International Conference on Document Analysis and Recognition, the techniques of computer vision are used in:

Bar code scanning in supermarkets
Processing utility bills
Sorting mail
Processing bank checks
Reading financial data and business forms
Extracting symbols and information from maps and engineering drawing and other areas as well.
Many of these applications rely on text recognition and often handwritten data recognition.
Much research has been done in the creation of new techniques for computer recognition of handwritten data in particular.

Future Applications of Computer Vision

we could place robots in factories to inspect items, detect defective material, and discard that defective material.

we could rely on computers for medical purposes -- they could review x-rays and blood samples to look for irregularities, potentially reducing the risk for mis- (or missed) diagnosis.

A computer / camera system set up in a plane could view remote areas from above and then use those images to create maps of them.
sighted missiles could be used in military tactics rather than heat-seeking ones.

we could set up traffic control cameras above highway systems or city streets to provide information about where cars should go for the least congested route.
computers could aid blind people in everyday tasks.

Oil and other such resources can sometimes be detected by examining the surface of a location. Computers could be used to detect these resources in remote areas.

We could have robots in our houses sort our laundry into colors and whites. Security cameras could be made to alert store owners if a theft was taking place.
The list goes on and on. It's too tempting to think that there's a possibility of these ideas becoming reality not to do research in computer vision, no matter how hard the task may seem!

Source:

https://cs.stanford.edu/

 

 

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