Saturday, February 20, 2021

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Next Android Update comes with these Amazing Features for your Phone

Google is outfitting to deliver the following huge Android update this year- - Android 12. The primary Developer Preview of Android 12 is here, giving Android clients a brief look at what new highlights Google intends to present. After Apple, Google is currently zeroing in on giving more information straightforwardness and protection control to Android clients. Here are the new highlights that Google will add to your Android telephone soon.



These Phones will be Update to Android 12

As this is only the primary Developer Preview of Android 12, just a small bunch of telephones uphold it, these are Pixel 3, Pixel 3a, Pixel 4, Pixel 4a, and Pixel 5.

High Quality in Less Storage comes in Android 12

Google is adding viable media transcoding to help HEVC. With this element, an application that doesn't uphold HEVC can have the stage consequently transcode the document into AVC. You can expect applications to shoot better recordings and take the less extra room.

AVIF support, better than JPEG

For higher picture quality with more effective pressure, Android 12 will uphold the AV1 Image File Format (AVIF). Google asserts that this will significantly improve picture quality for a similar document size when contrasted with more established picture designs like JPEG.

Apps will work smoothly on Android 12

Google will impede frontal area administration beginning from the foundation for applications to improve the execution of applications, especially for weighty applications in web-based media, gaming, and so forth.

Music and gaming experience will improve with haptic-coupled sound impact on Android 12 

In Android 12, applications can give sound coupled haptic criticism through the telephone's vibrator. This will mean a superior gaming experience. "For instance, a video calling application could utilize custom ringtones to recognize the guest through haptic input, or you could reenact harsh landscape in a dashing game," said Google.

Additional Gesture Support for easy use

In Android 12, Google will offer a superior motion route when watching a video, perusing a book, or playing a game. "We're actually shielding applications from unplanned signals when in full-screen encounters identified with gaming, yet on the whole other full-screen or vivid encounters (for example video watchers, perusing, photograph display), for applications focusing on the new stage, we're changing the default to permit clients to explore their telephone with one swipe," said Google.

Better appearance of Notifications and faster apps

Google is invigorating notice plans to make them look great with custom substance and symbols. Likewise, notices will open quicker. "At the point when clients tap a notice, they hope to hop quickly into the application - the quicker the better," it said.

Increased updates on Google play

Google is zeroing in a great deal on Project Mainline which manages Google Play framework updates to give applications a more reliable, secure climate across gadgets. With this Google can handle significant programming issues by offering little updates through Google Play as opposed to giving a full framework update.

Increased Security

Google has added new powers over identifiers that can be utilized for following, more secure defaults for application segments, and that's only the tip of the iceberg. Google will add more protection and security highlights coming in later see arrivals of Android 12.

Better optimization on Foldable phones and TVs

Google is guaranteeing that Android 12 will work better on TVs, foldable telephones and tablets with new highlights and better route

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Updated Privacy Policy of Whatsapp after May 15

The new WhatsApp protection strategy has confronted analysis from clients, equals just as the Indian government. In any case, WhatsApp will proceed with a new security strategy and it will currently happen from May 15. In any case, occurs on the off chance that somebody doesn't acknowledge the new terms by May 15. 


WhatsApp clients who won't acknowledge the new security terms can in any case utilize the application for an additional 120 days. In any case, during this time, the usefulness of the informing application will be restricted. "For a brief timeframe, you'll have the option to get calls and notices, however, will not have the option to peruse or send messages from the application," the authority WhatsApp FAQ page states.

Deleting Whatsapp Accounts within 120 Days

On the off chance that clients actually don't acknowledge the new security terms before the finish of the 120 days after May 15, WhatsApp will erase that client account. These records will lose all their WhatsApp visits and gatherings. In the event that you need to utilize WhatsApp with a similar telephone number from that point forward, you should make a new record and start without any preparation, however that also will expect you to initially acknowledge the new security terms. 

Whatsapp clears the Privacy related confusion with time.

Since WhatsApp got a significant reaction in the wake of uncovering its new protection strategy, the Facebook-claimed administration has been taking numerous endeavors to eliminate any confusion air on what the new security strategy really changes. To accomplish this, WhatsApp has so far utilized its own announcements page, made various public explanations, and now is likewise set to show another pennant in the application.


Through every one of these strategies, the application is guaranteeing clients that their talks will stay private and scrambled post the new protection terms and that organizations gaining admittance to your visits with business accounts is "totally discretionary." 

"We've thought about what we might have improved here. We need everybody to know our set of experiences of shielding start to finish encryption and trust we're focused on ensuring individuals' protection and security," the application said in a blog entry recently.


Friday, February 19, 2021

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VAIO Z (2021) Launched in India with Carbon Fibre Body and Intel Core i7 processor.

VAIO recently delivered a mystery banner that focuses to the dispatch of another PC on February 18. Consistent with assumptions, the organization has now reported the new VAIO Z (2021) PC. The journal PC uses a carbon fiber body and this incorporates the base part which is a first for the VAIO line up and furthermore the whole body of the PC.



The VAIO Z (2021) highlights a 14-inch 4K HDR LCD show with an FHD goal of 1080 pixels. This showcase likewise has a 99.8% DCI-P3 shading range. The gadget has a lightweight, smooth collection of 958g and it can endure a 127cm (up to 4.1ft) drop which is past the MIL-STD-810H necessity. The presentation can be opened up to 180 degrees and it can even be opened with one hand. There is a devoted easy route (Fn+2) that can be utilized to pivot the showcase. There is a webcam at the top with a protection lock alternative.

VAIO Z (2021) Specifications

The journal is a top-of-the-line model fueled by an eleventh Generation Intel Core i7 H35 Series processor. The processor is matched with 8GB of RAM which can be arranged up to 32GB of RAM. The capacity begins at 256GB PCIe Gen.4 SSD which is configurable up to 2TB SSD. The PC runs Windows 10 Home



Further, the PC includes an exceptionally planned receiver just as sound system speakers streamlined with Dolby Audio. The journal includes a USB-C (Thunderbolt 4), HDMI yield, and earphone jack. The force button is coordinated with a unique mark sensor for Windows Hello open, 


The battery limit is a 53Wh cell that underpins 65W PD quick charging the PC is said to present to 34 hours of battery life for the 1080p variant. The 4K HDR rendition will present to 17 hours of battery life, on account of 53Wh battery that upholds 65W PD quick charge.

VAIO Z Signature Edition

VAIO Z Signature Edition was additionally dispatched and what separates it from the rest is the mark Black plan with a carbon fiber surface, and carbon dark tones. 

Concerning the valuing, the VAIO Z 2021 beginnings at 272,580 yen ($2574) for the 1080p rendition with Core i5-11300H, 8GB RAM and 256GB SSD variant. Then again, the VAIO Z SIGNATURE EDITION with 1080p screen, Core i7-11375H, 16GB RAM, and 256GB SSD adaptation begins at 366,080 yen ($3,457). The Signature Edition likewise has a 4K screen form that costs an extra 22,000 yen (~$207). There is no word yet on the accessibility.

Thursday, February 18, 2021

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Lenovo launched its Smart Clock Essential priced at Rs 4499.

Lenovo Smart Clock Essential has appeared in India. The associated computerized clock that incorporates Google Assistant was at first dispatched in Europe in September a year ago. It comes as a watered-down adaptation of the Lenovo Smart Clock that was dispatched in the Indian market in 2019. Lenovo Smart Clock Essential highlights a simple to-peruse LED to show that shows ongoing data, including the climate and temperature, initially. The clock additionally accompanies a surrounding light sensor to naturally change the splendor of the included showcase.



Indian price of Lenovo Smart Clock Essential

Lenovo Smart Clock Essential cost in India is set at Rs. 4,499. The clock will be accessible for buy beginning at 12 am (12 PM) on February 19 through Flipkart and Lenovo.com. It arrives in a Soft Touch Gray shading alternative. It will likewise go on special through disconnected retail channels at a later stage.

Specifications of Lenovo Smart Clock Essential 

Lenovo Smart Clock Essential highlights a 4-inch LED show and is controlled by an Amlogic A113X SoC, alongside 4GB of RAM and 512MB of eMMC stockpiling. The clock accompanies a 1.5W speaker that conveys a pinnacle force of 3W. Further, it incorporates two receivers and accompanies an inbuilt night light (with 31 lumens splendor) that causes you to stroll around in the evening, without finding things or expecting to turn on the lights in your room. There is likewise a coordinated USB port to allow you to put your telephone and different gadgets on charge.

Lenovo has given a receiver quiet switch on the Smart Clock Essential to allow you to impair the inbuilt mouthpieces when it's inactive. 

It can likewise be utilized to set cautions. The clock offers you shrewd caution proposals dependent on your following day's schedule occasions. There is additionally dawn cautions that step by step increments the tone and brilliance of the showcase prior to ringing the alert.

Lenovo Smart Clock Essential has Wi-Fi 802.11ac and Bluetooth 5.0 availability uphold. It estimates 121x64x83mm and weighs 240 grams.

Friday, October 2, 2020

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A Non-Replacable Technology in Future to carry Internet | Fibre Optic Cable


Fiber optic cable responsible for carrying the internet throughout the world. It is a cable which transfers the fastest thing in the world, light. There is the communication of light from one place to another. The cable is very thin that as compared to it our one hair strand is 10-20 times thicker. And in that, there are many cables in a single cable. These cables are so capable that it can handle more than 25 thousand telephone communications at a time in a single cable. Many such cables are capable of communicating millions of data throughout the world. Bigger cables are laying in the sea and oceans to transfer the internet from one country to another. There is no alternative for it so it will be used more frequently in the next few years
.

These cables are generally made up of high-quality plastics or glass. Light supplied from one end comes out from another. But does not work as a normal transfer takes place. Light traveling through it works on the principle of Total internal reflection. In a cable, light is projected with a certain angle and that light gets reflected from internally in a zig-zag pattern. This method makes light to go farthest in the cable. When an entering light gets on/off, the output in the other end gets the same signal in the form of binary digits of 0 and 1 indicating on and off respectively. In this way, there is a transfer of data from one place to another. The main cable is called core and there is an outer covering of a material known as cladding. The refractive index of the outer material is slightly less than the core so that the light cannot pass out the cable.

In this case, all cables are not the same. There are different types.

1.     Single Mode cable In this type, a cable connection has the same mode on both sides. These types of cables are very thin and able to transfer for long distances.

2.     Multi-Mode Cables – These cables are thick and many signals propagate in different modes through it. But they are not able to transfer for long distances. So there is a need to set amplifiers so that the signal gets boosted and reaches another cable for transfer.

 

Disadvantages

1.     It is very costly.

2.     Its installation is very costly and technical. Required good technical knowledge to install.

3.     It is very delicate. It requires high protection as it can break very easily.

Advantages

1.     Its data speed is very fast. It cannot be compared to any other cable.

2.     There is no external interference. As it is light and traveling through the cable so any external parameters cannot affect it.

3.     Attenuation is low. As it is light so it can be traveled for long distances without any disturbance.

4.     It cannot be hacked. As it transfers through the cable so it is not possible to hack as compared to the wireless.


Thursday, August 13, 2020

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Autonomous Vehicles | Self Driving Cars | Use of AI , ML and Computer Vision

 Autonomous Vehicle/ Self Driving Cars


    Autonomous vehicles are the vehicles having advance driver system to operate all the functions of the vehicle independently, without having any human interaction. It uses computer vision, the application of Artificial Intelligence, to predict the driving speed and brake when any obstacle is present.

    Due to this , it has a very good safety control system that is capable of insuring the safety of the driver and passengers without any human error. It can be operated manually and automatically based on the driver needs. 

     There are many companies that are working on the creation of such vehicles.Some of the leading manufacturers of these vehicles are WAYMO , GM CRUISE and ARGO AI. Some of the Autonomous vehicles are Lexus L.S. ,Tesla Model 3, Volvo XC60, BMW 5 Series.

     In past few years  there has been new startups introduced in the driverless vehicle industry. Some of them are ARGO AI (2016), Starsky Robotics (2016), ZOOX(2014) an many more. 

   Autonomous vehicles work on certain levels that can be adjusted as per driver needs.  

Levels at which autonomous vehicles work.


      Level 0 : Car is not having any control on its own. A driver is the person responsible for the movement of the car. All the controls of the car are in the hands on the driver.

      Level 1 : The car has ADAS( advance driver assistance system) which can help the driver with the steering or accelerating or braking by giving certain instructions.

      Level 2 : The ADAS system of the car is now advance to control the steering, accelerating and braking whenever the driver allows it, but the driver needs to pay complete attention in the surroundings for safe driving.

      Level 3 :  The ADS is now able to operate all the parts of the vehicle whenever a driver allows it but it requires driver assistance to keep an eye on the surroundings.

      Level 4 : Now the cars can perform all the operations independently whenever the driver assistance is not required.

      Level 5 : Here the car is fully automated and capable to perform all the operations such as braking, accelerating, steering, checking roads, traffic lights, obstacles in the road etc. on its own without any driver interaction. This is advance technology will be operated on the 5G and will use the most of the applications of artificial intelligence and machine learning.  


Saturday, August 8, 2020

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Artificial Intelligence | Definition | How AI works? | Neural network | Machine Learning | Self Driving Cars

 Artificial Intelligence


    Artificial Intelligence is the intelligence of the machines that make them able to do things that a human brain does. With the help of Artificial intelligence, machines are able to make complex decisions based on the predictions made with the help of Machine learning or Deep Learning. 

   Machine Learning and DeepLearning plays a very important role in the execution of artificial intelligence as they help machines to learn themselves without being programmed again and again. 

How AI works?

    Artificial Intelligence means computer has the ability to work on its own. For this computer needs to make certain decisions and predictions on their own. But computer are non living machines and to make decisions and predictions on its own it needs a brain to process the information. Here machine learning comes into the picture. Its makes the computer learn from the environment. It uses algorithms to do such work.

   Algorithms are the programs that are feed by the programmers in the beginning.Then these algorithms are use the neural network to get the raw data to process. Here neural network work as a brain of the AI where all the data is stored in the form of neurons. The first neuron created was called Perceptron. It stores the data in the form of binary. 

     These neural network gets activated by an algorithm which uses the raw data in it. Then based on the raw data the computer makes decisions and predictions and find the high accuracy output for the given input. 

Some real world Applications

  1. MarketingCompanies use AI to advertise their products and make them look more attractive to its customers.
  2.  BankingBanks use AI for customer support, detect anomalies and credit card frauds.
  3.  Agriculture: AI helps the farmers to get more from a land using the rersources more sustainably.
  4. Finance: In this field AI is used to predict the future patterns in market. This helps the people to trade in different sectors
  5.  HealthcareAI has achieved more accuracy and precision in going what a good medical facility does. It has increases the success rate by doing complex operations with high accuracy and precision.
  6. Gaming: AI has been get into the market first in gaming industry. It has achieved so much that we get an extra ordinary experience in gaming.
  7. Space Exploration: AI and machine learning helps space exploration to a higher extent. It helps to analyze and process huge amount of data gathered during the exploration.
  8.     Autonomous Vehicles: AI and advance deep learning has made it easier for the vehicles to operate on their own and we are able to create self driving cars.

  9.     Chatbots: AI is used in the chatbots like virtual assistant which talk to us like that they are just like us.

  10.     Artificial Creativity: AI has made many creative innovations in the digital market from face unlock to the voice recognition.


Wednesday, August 5, 2020

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Machine Learning | Definition | Artificial Intelligence | Deep Learning | Applications | Algorithm | Supervised Learning | Unsupervised Learning | Reinforcement Learning

Machine Learning

   Machine Learning is a study of computer algorithms in which machines are trained to do a particular task. It is the field of Artificial Intelligence where it uses the data (training data), which is a stored in it to make predictions or decisions for some input. It gives the machines ability to learn and improve from its experiences without being programmed. 
   But it can be used for basic operations which require small data, for complex operations we use deep learning which doesn’t require data. It has its useful  application in computer vision and email filtering.

Three Ways of Machine Learning 

Supervised Machine Learning:

In this learning, the data present (called as predictor variables/features) in the machine are labeled with respect to the output data (target variable). This predictor variable make predictions according to the input data and goes on until it reaches the higher accuracy result with respect to the target variable.

Algorithms:

1. Linear regression

2. Logistic regression

3. Support Vector Machines

4. Naive Bayes

5. K-nearest neighbour algorithm

6. Random Forest Algorithm

Applications:

1. Bioinformatics

2. Quantitative structure

3. Database marketing

4. Handwriting recognition

5. Information retrieval

6. Learning to rank

7. Information extraction

8. Object recognition in computer vision

9. Optical character recognition

10. Spam detection

11. Pattern recognition

Unsupervised Machine Learning:

In this learning, the data present data present in the machine is unlabeled, i.e. it does not have the target variable to make predictions, so it uses the sequence of the input data to make certain predictions. For eg. The customers are categorized on the basis of the amount of products bought from company without knowing in advance the category.

Algorithm:

1. K-means Algorithm

2. Apriori Algorithm

3. Expectation–maximization algorithm (EM)

4. Principal Component Analysis (PCA)

 Application :

1. Human Behaviour Analysis

2. Social Network Analysis to define groups of friends.

3. Market Segmentation of companies by location, industry, vertical.

4. Organizing computing clusters based on similar event patterns and processes.

Reinforcement Machine Learning :

In this learning, the machine is programmed to perform some actions in the environment and in return it gets reward or punishment. On the basis of that reward or punishment, it programs itself to improve and perform further actions. This process of learning and improving goes on.

Algorithm:

1. Q-Learning Algorithm

2. State–action–reward–state–action Algorithm (SARSA)

3. Deep Q Network Algorithm (DQN)

4. Deep Deterministic Policy Gradient Algorithm (DDPG)

Application:

1. Resources management in computer clusters

2. Traffic Light Control

3. Robotics

4. Web System Configuration

5. Personalized Recommendations

6.Deep Learning

Friday, July 31, 2020

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Deep Learning | What is Deep Learning | Neural Network | Machine Learning | Artificial Intelligence | Books


What is Deep Learning?

   
       Deep Learning is a broader concept of machine learning. Deep learning is basically learning from the real life world with the help  of neural network and giving appropriate output at present time.
     Neural network can be called as the brain where all the data is present. Neural network is connection between millions of raw data that is been used for deep learning process. It is very similar to the machine learning in some functions as both are used to learn from the real life world.
     One main advantage in deep learning is that it does not require any specific information for learning , in-fact it generates the features for the object and give the appropriate output. Whereas in machine learning, the features are inserted for a specific object. That is the reason that machine learning are not used for complex problems, instead deep learning is used.

Why we need Deep Learning?

     In this fast growing world, we have a lots of objects which contain a lots of data which does complex jobs. Here complex jobs are referred to the work which requires a huge amount of data. This complex data needs to be analysed and interpreted for the desired output. 
     But the machine learning as uses small objects whose features are already present. So to overcome this problem deep learning is used. 
     It can handle a huge amount of data and does not require the features to be present. Deep learning is so capable that it generates the features of the object and give the appropriate output. So it is the one of the important features of Artificial Intelligence.   


Must read Books for Deep Learning      

       

 Deep Learning (Adaptive Computation and Machine Learning series)


    Deep Learning with Python


                      

Useful Applications of Deep Learning

  • Self driving cars: Deep learning algorithms are used in identifying objects so that car can make appropriate decisions while driving.
  • Language Processing : Deep learning helps in language translation in multiple languages.
  • Medical : Deep learning helps doctors to find tumor for cancer like cells and its spread in body. 
  • Uber : It also helps in analyzing and displaying the suitable route and required time for the destination. on the basis of previous data from same destination.

Saturday, July 25, 2020

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5G | Definition | Jio-Google Partnership | Available in INDIA

What is 5G ?

    5G is a 5th generation mobile network. It is globally new wireless network after a series of 1G, 2G, 3G and 4G. It comes with the high range of bandwidth which makes the downloading speed extremely high upto 10Gbps (Gigabits per second). With this high bandwidth it makes it possible for new applications in Internet of Things (IoT).

        It comes with some improved specification such as ultra low latency i.e. the gap time between server and user is reduced , more reliability , massive network capacity and increased availability. But current 4G cellphones will not be able to use 5G , they will require 5G enabled wireless devices.

Why we need 5G network?

      As of now we all have been adopted 4G network due to its improvements from 3G, 5G has come with its some of the high improvements from 4G and will provide better facilities from what we use.
Here are some points that are improved

 1. More capable than 4G

     5G will now be able to work in different bands ( low , medium ,high) and different spectrum that enables its connectivity in every possible region and will support new services to massive IoT.
 2. Works in all bandwidth

     5G will allow connections in every available spectrum form low(1GHz) to medium(1-6 GHz) to high(>6 GHz) known as millimeter Wave(mmWave).
 3. Faster

     5G delivers upto 20Gbps at peak speed and 100+ Mbps at an average speed.
 4. More Capacity

      5G supports high traffic more upto 100 times and increases efficiency.
 5.Low Latency 

      5G provides low latency and instant real time access.

When 5G network will be available?


    For 5G to ready for users its has to face many problems such as 5G radio spectrum and 5g network equipment and a lot of regional testing. Jio has announced that it is ready for the tests and will be starting from early 2021 and expected to launch the 5G network by mid 2021. 
     Google has invested 33737 crores in Jio , with the aim of providing internet to all and improving mobile experience for all. Ericsson, a Sweden company,  known for its network equipment, has said that 5G will likely be available in India from 2022.


Tuesday, July 21, 2020

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COMPUTER VISION | Definition | How computer vision works | Future Scope

Have you ever wondered that how it would be if cars, bus, can have eyes that sees everything around it and work according to the safety of the people. This would be great. It will reduce the accidents on roads and can make certain on-road decisions such as making way for the ambulances and fire-engines.
 Computer vision is the way to achieve this.





 COMPUTER VISION


         Computer vision is the scientific field which helps the computer to understand the world by digital images and videos taken from camera. It is the field of Artificial intelligence which recognize the objects from the camera feed and give the desired output. It include certain tasks such as acquiring, processing, analyzing and then understanding the digital data in the form of image or video taken from the camera. This tasks are completed referring to the data already available on the web.At present it has been used in Augmented Reality (AR), Virtual Reality(VR) and many more.

For example : if your device sees an apple, then it refers to the shape , size , color  and dimensions of the apple referring to the data of the apple already present and give output showing that it is an apple.  

How Computer Vision Works?

   There are 3 simple steps to understand


      Step 1.
                                               
          
      Camera is used to capture the image. Whatever it sees gets captured to process further. At present every mobile, tablet, laptop, computer has got the in-build cameras in it, so it is easy to capture image anywhere and anytime.


        Step 2

                                                                                                                          

           

    Deep learning plays a very important role in the processing of the captured image. Deep learning models are created and fed with millions of available and possible data about millions of things. They analyze and process the captured image give the desired output with reference of the available data.


       Step 3.



We get the Output.        

  

Saturday, June 20, 2020

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Augmented Reality | Meaning | Definition | How AR works | Virtual Reality | Apps | AR glass

 

    Don’t  you think that you need an advance and smart assistant like Jarvis, which can assist you with every problem faced in daily life. Now you are thinking that it’s all fiction. I also thought that it all lives in the movies we see but when I get to know about the AR, my whole thinking changed. And after knowing more about it, I believe that it will change your thinking process too. You won’t believe that what we see in that movie(IRONMAN)  is going to be practical in our real life. 

I was very curious to know everything about it, such as what is it, how it works, how it can be implemented in our real life, how this technology will change the future, how to get started with it and many more…. I started to research it and my mind gets blown after knowing that what this tech could do. It will be more than just becoming an ironman.  So, I thought that you should also know about it. Something is interesting about this thing in this article.

What is Augmented Reality?

    


 

     How it works?


Suppose you want to play chess in a notebook. You wear the AR device and give the instruction for the chess, then the device will first take a sample image of the book and recognizes the book. Then it takes the original size of the book and overlaps the game according to the frame of the book.

Modern day phones which have a gyroscope in them, work at 30 frames per second, i.e. it only takes 30 milliseconds to complete the process.

Real-life application of AR

  Gatwick’s passenger app - It is the first AR app that solve the problem of passengers navigating at the Gatwick (place in the UK) airport and travel from one point to another. This reduces the traffic flow at the airport.

2.     Education. In the online world, AR makes it more interactive to the students than the video lectures as they can experience real-life things.

3.     Dulux visualizer – It is an amazing AR mobile app that helps us to scan our walls in mobile shows your desired paint on that wall.

4.     Healthcare – It is used to help professionals and students with the pre-diagnosis of the patients. It reduces the risk and helps in live interaction of the function of bodyAccuvein is one of such apps used in healthcare that shows the vein network of the patient and reduces the escalations by 45%.

5.     For fun – AR apps have also been developed for gaming and fun. This increases sales and engages people in the game. One of the famous AR game mostly played is

6.     Marketing – AR has been used in the marketing sector which makes ease of increase in sales. Some marketing apps used in daily life help people in buying things for their daily needs. For example, there are paint companies that offer an AR app that allows the user to finalize the paint on the wall.

 

Difference between AR and VR


Augmented Reality

Virtual Reality

1.User sees additional things in the real world.

1.User experience the virtual world, losing all connection with the real world.

2.AR can be experienced in smartphones, tablets, AR glass, and holographic systems.

2.VR can experience the digital world with VR glasses.

3. Pokemon Go is the current AR game.

3.The virtual world can be seen, heard, and felt.

4.AR provides games, interior furnishing planners, navigation apps, etc.

4.It is used in industries , training, 3D games, property marketing,etc

5.DEEP FRAME was the first AR display, enabling AR without glasses.

5.There are 360-degree images, videos, and fully created 3D worlds.

 

 Career in Augmented Reality


1.Design Architect – In this career, you need to work with the client to design the interior and exterior of devices used in AR and VR.

2.Software Designer – in this career, you need to design software with the help of developer and 3D artist.

3.System Validation Engineers – in this career, you need to solve any issues that arises including the technical issues to make sure that that the application get modified accordingly,.

4.Software Developer – this career allows you to develop software and show your creativity in the software.

5.3D Artist –This is the career where you need to put your artistic skills. You need to have a strong understanding of color, texture, and light.  3D animation, game development, and new media development are the branches of fields under 3D artist.

 

Some companies of Augmented Reality

·CemtrexLabs

·4Experience

·NEXT/NOW

·Groove Jones

·Treeview. studio

·Mutual Mobile

·ICVR Interactive

·OrangeLoops

 

 Skills Required


 1.Augmented Reality SDK skills  

2.Programming Language Skills

3.3D Gaming Engine or Modelling Skills

4.Command over UI/UX

5.Graphic Designing Skills

6.Networking Skills

7.Problem Solving Skills

 

Most Famous startups in Augmented Reality

1.WayRay – Holographic Navigation Systems

2.Continental – Warnings and Alerts

3.LiveMap – Augmented Reality For Non-Vehicles

4.Yeppar – Driver Experience

 

Conclusion

Augmented Reality makes our real-world more interactive and now you know that what an amazing thing it is.

You learned a lot about the AR and I am sure that this information is sufficient to you to get started with it.

Now you know its definition, working, application, future scope, how to get started, skills required, and its role in your life.

'Technology makes life easier for us and we need to understand the right use of it."

 As John Maeda

 

 

 

 

 


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