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What is LiFi Technology: How it Works & How it’s better than WiFi

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What is LiFi how it works

Technology is one of the rapidly growing concepts in the world, inventing new things making things easier for humans. Li-Fi is one the lesser-known wireless technology likely to be used in future against Wi-fi for faster data transfer with many advantages.

What is LiFi Technology?

LiFi, which stands for Light Fidelity, is a wireless communications technology that uses visible light to transmit data in real time. It’s up to 100 times faster than standard WiFi. While it’s yet to reach broad use in the market, LiFi has the potential to hugely impact technology and software development, especially for IoT solutions, across sectors. 

In technical terms, Li-Fi is a light communication system that is capable of transmitting data at high speeds over the visible light, ultraviolet, and infrared spectrums. In its present state, only LED lamps can be used for the transmission of data in visible light.

How LiFi Technology Works?

LiFi is high speed bidirectional networked and mobile communication of data using light. LiFi comprises of multiple light bulbs that form a wireless network.

When an electrical current is applied to a LED light bulb a stream of light (photons) is emitted from the bulb. LED bulbs are semiconductor devices, which means that the brightness of the light flowing through them can be changed at extremely high speeds. This allows us to send a signal by modulating the light at different rates. The signal can then be received by a detector that interprets the changes in light intensity (the signal) as data.

The intensity modulation cannot be seen by the human eye, and thus communication is just as seamless as other radio systems, allowing the users to be connected where there is LiFi enabled light. Using this technique, data can be transmitted from a LED light bulb at high speeds.

Applications for LiFi:

  • Traffic Management & Road Safety
  • Medical Applications
  • Aviation
  • Communication Underwater
  • Elegant Lighting
  • Interior map-reading system for blind people
  • In dangerous Environments or In Sensitive regions
  • Transportations
  • Industrial Areas

Differences between Li-Fi & Wi-Fi:

  • The Bandwidth Expansion of Wi-Fi technology is limited and exceptional for Li-Fi
  • The Speed of the Wi-Fi is150 Mbps and >10 Gbps for Li-Fi
  • The Data Density of Wi-Fi technology is low and high for Li-Fi
  • The Range of Wi-Fi is medium and low for Li-Fi
  • The Security of Wi-Fi is medium and excellent for Li-Fi
  • The power availability of Wi-Fi is low and high for Li-Fi
  • The ecological impact of Wi-Fi is medium and low for Li-Fi
  • The cost of the Wi-Fi is medium and low for Li-Fi
  • The network topologies of Li-Fi and Wi-Fi technologies is a point to point

Advantages of Li-Fi:

  • Speed-The speed of the Li-Fi is very high, and we can watch the videos without buffering.
  • Security- The light of the Li-Fi doesn’t run through the partition, therefore, it is more protected and hacking is not possible.
  • Risk-free-Li-Fi utilizes light waves which are harmless.
  • Consistent- The data transfer is more protected.

How LiFi is better than WiFi?

LiFi technology is much better than Wi-Fi in terms of speed, cost and security. Althoughit has many advantages that are discussed below.

Faster Speed

The current speed of WiFi oscillates between 11 and 300 Mbit/s, while that of LiFi is also highly variable according to the last studies carried out.

The most widely accepted speed is 10 Gbit/s, but it has been proven that it could reach 224 Gbit/s and that a 1.5 Gbit film could be downloaded in thousandths of a second.

Cost-Effective & Sustainable

It is up to 10 times cheaper than wifi, requires fewer components and uses less energy. All you have to do is turn on a light!

Accessible with No interference 

Any light fitting can easily be converted into an internet connection point, as only a simple LiFi emitter needs to be fitted. Moreover, electronic light does not interfere with radio communications, interact with other systems or compromise transmissions from aircraft, ships, etc.

Secure & Reliable

Light does not pass through walls like radio waves do, and this prevents intruders from intercepting LiFi communications through a wireless network. LiFi transmits its signal without interruptions, making communication more stable than with wifi.

More bandwidth with No Saturation

The light spectrum is 10,000 times wider than the radio spectrum, which increases the volume of data it can carry and transmit per second. Though, internet connection via light could prevent the collapse of the radio spectrum which, according to LiFi’s inventor Harald Haas, could take place by 2025.

Wireless and invisible

LiFi takes advantage of lights and dispenses with the router, so it works without the need for cables. In addition, it can operate with infrared light, which is invisible to the human eye, or with visible LED light at very low intensity so as to avoid disturbance.

Is There Really a Need to Replace WiFi?

Considering the vast applications of the internet on modern technology (and almost all basic government and daily functions cease to exist without it), perhaps there really is a need to come up with improvements to the existing WiFi technology.

This is due to the various limitations in its usage of radio frequencies as a data transfer medium. These limitations include its limited coverage, security concerns over connectivity, restriction of use due to frequency interference, and congestion of networks.

With the emergence and development of LiFi technology, many foreshadow the obsolescence of wifi and other wireless networks. We will have to wait a few more years to see if streetlights, in addition to illuminating our streets, will connect us to the internet at the speed of light.

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Smartphones

Latest Best 5G Smartphones: Specifications & Price Availability

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5G Network not yet developed in most of the countries, but 5G-enabled smartphones are being launched aggressively by the top mobile manufacturers. Yes, mobile companies are now highlighting the 5G feature into their phone to attract the customers.

But do you know, now many mobile chips or processors, especially for mid-range and high-end segment flagship phones, comes with in-built technology to support the 5G network. Anyway in upcoming years top countries likely have the 5G network.     

Also Read: Top Five Reasons You Need to Change Your Smartphone

India is also working in this technology to bringing it into the existence allowing people to enjoy the high-speed internet and wireless connectivity. So, if you are planning to buy a smartphone, you should go with 5G phone, so that whenever the network will be available, you can get it first without changing your phone.

Best 5G Smartphone Under Rs 30000

Phone ModelsSamsung Glaxy A72 5GXiaomi Mi 11X 5GRealme X7 Max 5G
(New Launch)
Display6.7 inches, 1080 x 2400p Super AMOLED, 120Hz, with 393 ppi 6.67 inches, 1080 x 2400p (Super AMOLED, 120Hz with 395 ppi 6.43 inches, 1080 x 2340p Super AMOLED, 120Hz with 409 ppi
Processor (CPU & GPU)Qualcomm Snapdragon 750G 5G with Adreno 619 GPUQualcomm Snapdragon 870 5G with Adreno 650 GPUMediatek Dimensity 1200U with Mali-G77 MC9
OS/Platform Android 11, One UI 3.1 Android 10, MIUI 12 Android 11,  Realme UI 2.0
CameraQuad – 64MP+8MP+12MP+5MP
(32 MP front camera)
Quad – 48MP+8MP+5MP
(20 MP front camera)
Triple – 64MP+8MP+2MP
(16 MP front camera)
Memory128GB/6GB RAM, 256GB/8GB RAM with microSDXC shared SIM slot128GB\6GB RAM, 128GB/8GB RAM with microSDXC (shared SIM slot)128GB/8GB RAM, 256GB/12GB RAM (No dedicated slot)
Battery5000 mAh, Fast charging 25W 4520 mAh, fast charging 33W 4500 mAh
Fast charging 50W & Reverse charging 2.5W
Other FeaturesFingerprint (under display, optical)Fingerprint (side-mounted) & IR BlasterFingerprint (under display, optical)
PriceRs 30,000 (128GB\8GB) (After Bank Offer & Coupon Discount)Rs. 29,999 (128GB\6GB)
Rs. 31,999 (128GB\8GB)
Rs 26,999 (128GB\8GB)
Rs 29,999 (256GB\12GB)
AvailabilitySamsung WebsiteMi.com & AmazonRealme Website & Flipkart

Best 5G Smartphone Under Rs 25000

Phone ModelsSamsung A52 5GXiaomi Mi 10i 5GOnePlus Nord CE 5G
(New Launch)
Display6.5 inches, 1080 x 2400p Super AMOLED, 120Hz, with 407 ppi 6.67 inches, 1080 x 2400p (Full HD+), IPS LCD with 395 ppi 6.43 inches, 1080 x 2340p Fluid AMOLED, 90Hz with 410 ppi
Processor (CPU & GPU)Qualcomm Snapdragon 750G 5G with Adreno 619 GPUQualcomm Snapdragon 750G 5G with Adreno 619 GPUQualcomm Snapdragon 750G 5G with Adreno 619 GPU
OS/Platform Android 11, One UI 3.1 Android 10, MIUI 12 Android 11, OxygenOS 11
CameraQuad 64MP+12MP+5MP+5MP
(32 MP front camera)
Quad 108MP+8MP+2MP+2MP
(16 MP front camera)
Triple 64MP+8MP+2MP
(16 MP front camera)
Memory128GB/6GB RAM, 128GB/8GB RAM, 256GB/8GB RAM with microSDXC (shared SIM slot)64GB\6GB, 128GB\6GB RAM, 128GB/8GB RAM with microSDXC (shared SIM slot)128GB/6GB RAM, 128GB/8GB RAM, 256GB/12GB RAM (No dedicated slot)
Battery4500 mAh, Fast charging 25W 4820 mAh, fast charging 33W 4500 mAh
Fast charging 30W
Other FeaturesFingerprint (under display, optical)Fingerprint (side-mounted) & IR BlasterFingerprint (under display, optical)
PriceRs 23,499 (128GB\6GB)
Rs 24,999 (128GB\8GB)
Rs. 21,999 (128GB\6GB)
Rs. 23,999 (128GB\8GB)
Rs 24,999 (128GB\8GB)
Rs 27,999 (256GB\12GB)
AvailabilityReliance Digital & Samsung IndiaMi.com & AmazonOnePlus Website & Amazon

If you are not ready to spend not more than 25K on a 5G smartphone, you can find various options below 20K with various interesting features. So, we brought here below the top 3 best 5G phones that you can buy in less than 20K.

Best 5G Smartphone Under Rs 20000

Phone ModelsRealme X7 5G Vivo iQOO Z3
(New Launch)
Realme Narzo 30 Pro
Display6.4 inches, 1080 x 2400p AMOLED, 411 ppi 6.58 inches, 1080 x 2400p,
IPS LCD, 401 ppi
6.5 inches, 1080 x 2340p (IPS LCD), 405 ppi density)
Processor (CPU & GPU) Qualcomm Snapdragon 750G, with Adreno 619 GPUQualcomm Snapdragon 768G,
with Adreno 620 GPU
MediaTek MT6853 Dimensity 800U 5G with Mali-G57 MC3
OS/Platform Android 10 Android 11, Funtouch 11.1  Android 10, MIUI 12
CameraTriple 64MP+8MP+2MP
(16 MP front camera)
Triple 64MP+8MP+2MP
(16 MP front camera)
Triple 48MP+8MP+2MP
(16 MP front camera)
Memory128GB/6GB RAM, 128GB/8GB RAM without expandable128GB/6GB RAM, 128GB/8GB RAM, 256GB/8GB RAM, 256GB/12GB RAM with microSDXC dedicated slot64GB/6GB RAM, 128GB/8GB RAM – with microSDXC (uses shared SIM slot)
Battery4300 mAh, Fast charging 50W 4400 mAh, fast charging 55W 5000 mAh with Fast charging 30W
Other FeaturesFingerprint (under display, optical) Fingerprint (side-mounted)Fingerprint (side-mounted)
PriceRs 21,999 (128GB\8GB)
Rs 17,999 (128GB\6GB)
Rs 19,990 (128GB\6GB)
Rs 20,990 (128GB\8GB)
Rs 22,990 (256GB\8GB)
Rs 16,999 (64GB\6GB)
Rs 19,999 (128GB\8GB)
AvailabilityFlipkart & AmazonIQOO Website & AmazonRealme Website & Flipkart

And if your budget is below 15K, you can find the various interesting phones under this price segment. Check out below the latest 5G mobile under 15000 with specifications, features, price and availability.

Best 5G Smartphone Under Rs 15000

Phone ModelsXiaomi Poco M3 Pro 5G (New Launch)Realme 8 5GOppo A53s 5G
Display6.5 inches, 1080 x 2400p IPS Display, 405 ppi6.5 inches, 1080 x 2400p, IPS LCD, 405 ppi6.52 inches, 1080 x 2340p (IPS LCD), 269 ppi density)
Processor (CPU & GPU)MediaTek MT6833 Dimensity 700 5G with Mali-G57 MC2MediaTek MT6833 Dimensity 700 5G with Mali-G57 MC2 GPUMediaTek MT6833 Dimensity 700 5G with Mali-G57 MC2
OS/Platform Android 11, MIUI 12Android 11, Realme UI 2.0 Android 11, ColorOS 11.1
CameraTriple 48MP+2MP+2MP
(8 MP front camera)
Triple 48MP+2MP+2MP
(16 MP front camera)
Triple 13MP+2MP+2MP
(8 MP front camera)
Memory64GB/4GB RAM, 128GB/6GB RAM – with microSDXC (uses shared SIM slot)64GB/4GB RAM, 128GB/4GB RAM, 128GB/6GB RAM, 128GB/8GB RAM with – microSDXC (dedicated slot)128GB/6GB RAM, 128GB/8GB RAM – with microSDXC (uses shared SIM slot)
Battery5000 mAh, Fast charging 50W 5000 mAh, fast charging 18W 5000 mAh with 10W Charging
Other FeaturesFingerprint (under display, optical) Fingerprint (side-mounted)Fingerprint (side-mounted)
PriceRs 13,999 (64GB\4GB)
Rs 15,999 (128GB\6GB)
Rs 13,999 (64GB\4GB)
Rs 14,999 (128GB\4GB)
Rs 16,999 (128GB\8GB)
Rs 14,990 (128GB\6GB)
Rs 16,990 (128GB\8GB)
AvailabilityOnly Flipkart Realme Website & FlipkartOppo Website & Flipkart

Most probably you would be thinking about that, there are various other 5G smartphones available in the market. So, let me clear to you that these three phones come with the highest configurations and the best features at this price range in the market.

Apart from this, OnePlus Nord, Xiaomi Mi 11X 5G, Oppo Reno 5G, Vivo owned iQOO 7 5G & Samsung A72 series phones are the next best 5G supported phones in the premium segment available in the market. Anyway, if you are not willing to pay this much money, you can get 4G phones with the same configurations at a cheaper price. If you are looking for a 4G phone, currently Redmi Note 10, Realme 8 Pro & the Samsung M series are the best mid-range smartphones you can buy online with bank discount offers.

Also Read: Top Best Selling Smartwatch in India Under Rs 5000, 10000 & 15000

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What is Customer Sentiment Analysis: How to Do Sentiment Analysis

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customer sentiment analysis

Customer’s sentiments are very important to understand their state of mind, especially towards a product, services, brand and company. Business organizations can analyze and utilize the sentiments of their customers, to offer them better products and services.

Customer sentiment analysis is basically, analyzing the feedbacks, reviews and comments of the customers on social media, your website, your customer support center or any other place meant for taking customer’s feedback.

Also Read: Sentiment Analysis: How it Works & Everything You Need to Know

Once such data is gathered and analyzed, you get to know the actual sentiments and feelings of your customers. These feedback and reviews contains the useful business information through multiple channels helps your business improve the service.       

How to Do Customer Sentiment Analysis?

Tracking your customer’s sentiments is not easy if you not choose the right platform to collect the true data and analyze the same for business growth. Though, there are many traditional ways to analyze the customer’s sentiments but we have mentioned few of them would be the best platform for customers sentiment analysis.    

4 Best Ways To Perform Sentiment Analysis

How to Do Sentiment Analysis

#1 Ask them what they think about you

The reviews are given by the customers personally are the best ways to know their feelings. You can use customize mobile apps to rate your service or what they think about your product or services with the column to give personal feedback. You can use in-app ratings prompts, asking whether do you love our service or other tricks to think about your company’s service and what service need to improve. 

#2 Ask if they would recommend your service 

Another ways to find out the sentiments of your customer’s is ask them whether they will recommend your service to others or not. Net promoter score is one of the well-known indicator you can use to measure the loyalty of the customers.

It can provide you one consistent scale to measure sentiment over time. And when your company’s score is more than your nearest rivals, your company has ability to attract more customers with convert them into a profitable consumer. 

#3 Monitoring the social media platform

Social media is one the best and largest platform to gather the sentiments of people. Actually, nowadays people are spending more times on social media apps, which is accessible through multiple devices like desktop, laptops, tablets and smartphones.

And while browsing such platforms, they are also attached to their favourite brand. And taking the advantage of such brand loyalty you can organize questioners, surveys and reactions of people while promoting a particular brand name.

And for customer sentiment analysis you can use the various tools or hire the companies providing the sentiment analysis services. The tool or experts will check comments, reactions, mentions and shares to find out how your brand is appreciated among your customers or what they don’t like about your service.  

#4 Taking the customer’s feedback directly

The last but very effective ways to know about the sentiments of the customer is taking the feedback personally from your customers. Though, it is very difficult to contact your customer’s directly and get such feedbacks, as noways companies use digital methods like chat, email and direct call from customers.

However, if you are using the direct feedback channel, to get feedbacks towards your company, make sure to assign some type of score to the feedback in order to measure the sentiments of the customers and analyze in a better way.  

Apart from using the right ways to gather the feedbacks and opinions of the customers for sentiment analysis, it is also very important to choose the right instrument for sentiment analysis. As tools are not that effective compare to manually done by the experienced professionals analyzing such data with better interpretation.

Sentiment analysis is one of the best tools to analyze the sentiments of the people from different age, sex, demographic backgrounds and belongs to a different class of society. It is not helping business owners to offer better products or services, but in the stock market and other trading or investing financial instruments it is playing a big role in decision making.

Also Read: How Sentiment Analysis in Stock Market Used for Right Prediction     

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Sentiment Analysis: How it Works & Everything You Need to Know

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What is Sentiment Analysis

Understanding the sentiments of the people is not easy unless they express their feelings, opinions and perspective anything. But if you have such platforms where people are freely speaking up about their thoughts and concerns, you can easily find out their sentiments. Here where Cogito comes in the facility of sentiment analysis.

What is Sentiment Analysis?

Sentiment Analysis is the process of determining the conceptions, judgments, feelings, opinions, viewpoints, conclusions, and other notions towards anything. It is a technique to analyze texts, images, emojis and various other actions to know what other people think about a product, service, company, brand name, or a reaction to a specific event, social movement, etc.

The Usefulness of Sentiment Analysis

Sentiment analysis is playing an enormous role in understanding people belonging to different groups and their sentiments. On political grounds, it helps to know how much of the majority is in favor of the Govt. or how many stands opposing to their services and measures undertaken.

While on the other hand, in the business world, it is helping companies to know their customers in a better way. Such a resource becomes useful for the business enterprises to offer products and services as per the expectations of their potential customers and get appropriate results.

Social Media is one the best and biggest platforms where the theory of sentiment analysis is and must be applied, to interpret the feelings of various people. Hence, we need to understand it as a process, how it works, its applications and why it is important for business organizations and other aspects.

What is Sentiment Analysis in NLP?

Natural Language Processing (NLP) is a way to understand the actual meanings of the text words, sentences, or entire written documents. NLP is used to train the machines thereby, helping them understand the language and communication process among humans while discussing a topic.

The main motive of sentiment analysis is to find out expressions of people that are eventually classified as positive, negative, or neutral. It can be used in diverse areas such as company products, market research, marketing analysis, customer targeting, product reviews, customer feedback, reputation management, etc.

How Does Sentiment Analysis Work?

As mentioned above, sentiment analysis is used in NLP-based machine learning algorithms to develop such AI applications that can understand the ways of linguistic context showing the sentiments of different people.

But the question here is, how does sentiment analysis work? The developers begin by creating a text Machine Learning-based algorithm that can detect the contents showing any specific sentiment indicator.

Afterwards, they train the ML classifier by feeding it a huge quantity of training datasets containing reactions based on positive, negative, and neutral sentiments. Every piece of content is scattered and divided into basic components such as text words, phrases, sentences, and other entities.

Once this process is completed, the relationship between the topics and the identification process commences. Then, AI model assigns a sentiment score to that particular post. The post can range from 1 representing negative and +4 representing 4 positive comments. If a sentiment is neutral, the score is usually given 0.  

As we already know, understanding the different human languages is a very complex task due to their cultural and social diversity. Hence, it is important to train the programs in such a way that they are able to detect and analyse grammatical nuances.  

TYPES OF SENTIMENT ANALYSIS

To understand the sentiments of people, there are different types of sentiment analysis used in the market. Apart from normal opinions – positive, negative, or neutral, other types of sentiment analysis help in understanding people’s inner feelings, their actual intentions, and emotions.

Fine-grained Sentiment

This is one of the most simple and common ways of understanding your customers’ sentiments. Yes, fine-grained sentiment analysis helps in studying the ratings and reviews given by the customers.

While analyzing the sentiments, you can use the readily available categories like very positive, positive, neutral, negative, or very negative. Providing a rating option from 1 to 5 is yet another way to scale the feedback given by your customers. Most e-commerce sites use this technique to know the sentiments of their customers.

Aspect-based Analysis

This type of sentiment analysis is more focused on the aspects of a particular product or service. To make it easier to understand, let’s take an example – if you are talking about a soundbar or a wireless speaker system.

Here you can analyze your customer’s sentiments by asking them for feedback about the sound quality, connectivity, and other features, making such devices more useful and productive for the users. It helps in determining specific attributes of the product. 

Intent-based Sentiment Analysis

To know the intent of the customers; whether they are looking to buy the product or just browsing around, is achievable through intent analysis. It not only helps to identify the intent of the customers but also to track and target them through advertisements or other ways of online promotions.

With intent analysis, companies can save their time, efforts, and cost while targeting the potential customers as per their intentions. This helps in getting a more vivid understanding of the intentions of the customers.

Emotion Detection Sentiment Analysis

As the name symbolizes, this type of sentiment analysis helps to detect and understand the emotions of the people. Emotions like anger, sadness, happiness, frustration, fear, panic, worry, or anxiety, may all be included.

Understanding the sentiments of people using emotion detection is even more difficult as people use a collection of words having a different sense of meaning. Hence, inaccurate emotion detection can lead to an inaccurate decision while analyzing the true sentiments of the people.

How Can Sentiment Analysis be Used?

The main motive of using sentiment analysis is to find out the true feelings of the varied people living in our society. It can be used for analyzing the customer’s feedback of a particular company, normal users on social media towards a product, services, social issues, or political agendas.

Also Read: How Sentiment Analysis in Stock Market Used for Right Prediction

 Companies also use it for brand analysis, reputation crises, campaigns performances, competitor analysis, and improve the service offered to the customers. While on the other hand customer sentiment analysis helps the customer support team to prioritize their work for offering better service to end-users.  

Why Sentiment Analysis is Difficult?

Sentiment analysis is a very difficult task due to sarcasm. The words or text data implied in a sarcastic sentence come with a different sense of meaning depending on the senders or situations. 

Sarcasm is remarking someone opposite of what you want to say. It is expressed to hurt someone’s feelings or humorously criticize something. On social media, sarcasm is one of the most common behavior you can see nowadays interfering with the results. 

Sarcastic words or texts show the unique behaviour of people. It is usually used to convey a negative sentiment using the positive intention of words. This kind of caustic remark can easily mislead the sentiment analysis decisions.

The presence of sarcastic words makes it difficult for sentiment analysis processing in turn making it difficult to develop NLP-based AI models. Hence, a deeper analysis of such words is required to understand the true sentiments of people with accuracy.

In such a case, we can use the psychographic-based analysis to understand such people and their exact intention of what they are trying to say. Using the psychographic segmentationin sentiment analysis can give more comprehensive perception of different kinds of people interacting with each other.

Sentiment Analysis using Psychographic Segmentation

Sentiment analysis can be a big game-changer in forming a more focused marketing strategy for the companies. But these establishments need to understand their customers by segmenting them into their characteristics like their cultural values, beliefs, desires, goals, interests, and lifestyle choices.

Psychographic Segmentation becomes helpful here in analyzing the customers’ sentiments by segmenting them based on their activities, lifestyle, and interests. It is a more qualitative approach to study consumers according to their psychological characteristics. 

Psychographic segmentation not only helps in improving the customer experience but also authorizes companies to offer more tailored products or services to the right customers at the right time improving the return on investment.

Psychographics allows you to learn about the deeper motivations and emotions that influence potential customers. Hence, in the next article, we will learn more about psychographic segmentation, and how it is helpful in sentiment analysis.

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