What Kinds of Business Problems Can Machine Learning Handle ?

5 PROBLEMS THAT CAN BE EASILY SOLVED BY MACHINE LEARNING.

Machine Learning and Artificial Intelligence have gained prominence in the recent years with Google, Microsoft Azure and Amazon coming up with their Cloud Machine Learning platforms. But Interesting fact is that we have been experiencing machine learning without knowing it.

A simple usecase for our understanding :

The image tagging by Facebook and ‘Spam’ detection by email providers like gmail. e.g.  Facebook automatically tags uploaded images using face (image) recognition technique and Gmail recognizes the pattern or selected words to filter spam messages.

Let’s take a look at some of the important business problems solved by machine learning.

a. Detecting Spam :
Spam detection is one of the first use cases of ML. Long ago email service providers used pre-existing rule-based techniques to remove spam. But now the spam filters create new rules themselves using ML, this is achieved via ‘neural networks’ in its spam filters, Google’s Brain-like “neural networks” in its spam filters can learn to recognise junk mail and phishing messages by analysing rules across an enormous collection of computers. Today 75%+ phishing and spam emails don’t even land up in a customer inbox ! boom – what a relief ?

b. Sentiment Analysis & sales recommendation :

Given a set of tweets, Facebook posts of a given location or of a person during a specific time window and with the chain of events followed by it, ML can determine the sentiment and mood analysis of a Individual or a City or even that of a movie launch or even Election Results. Also Unsupervised learning enables a product based recommendation system. Given a purchase history for a customer and a large inventory of products, ML models can identify those products in which that customer will be interested and likely to purchase. The algorithm identifies hidden pattern among items and focuses on grouping similar products into clusters. A model of this decision process would allow a program to make recommendations to a customer and motivate product purchases. E-Commerce businesses such as Amazon has this capability. Unsupervised learning along with location detail is used by Facebook to recommend users to connect with others use

c. Predictive maintenance

Manufacturing industry can use artificial intelligence (AI) and ML to discover meaningful patterns in factory data. Boeing uses large amount of real-time flight data to understand, re-learn and make corrective and preventive maintenance of their planes. This helps them to understand the performance and utilisation in real-time. Corrective and preventive maintenance practices are costly and inefficient. Whereas predictive maintenance minimises the risk of unexpected failures and reduces the amount of unnecessary preventive maintenance activities.

d. Image recognition

Computer vision produces numerical or symbolic information from images and high-dimensional data. It involves machine learning, data mining, database knowledge discovery and pattern recognition. Potential business uses of image recognition technology are found in healthcare, automobiles – driverless cars, marketing campaigns, etc.

 

 

 

 

 

 

 

 

e. Speech recognition 

There is no single combination of sounds to specifically signal human speech, and individual pronunciations differ widely – machine learning can identify patterns of speech and help to convert speech to text. Alexa and Amazon Echo are great examples of Speech Recognition.

So all Machine Learning Problems go by the saying ” Begin with a priority problem, not a toy problem”. 

The reason why it has become complicated due to many companies who read about ML with enthusiasm and they decide to “find some way to use it.” This leads to teams without the real motivation or gusto (or committed resources) to drive an actual result. Pick a business problem that matters immensely, and seems to have a high likelihood of being solved.

So the definition of ML is – Its the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.

Do you know .. what’s in the Air you breathe ?

Pollution-AQI

Breathe Well, Live well .. (A popular Ayurvedic saying).
It means : The better we breath, the more we live, the better the air.. the better the breathe.

Do you know :  On Any given day we breathe approximately 25,000 to 30,000 times. An Adult needs approx. 500 litres of pure oxygen.  More than 50% of the urban population across the world don’t breathe good quality air & this is just the beginning.

AQI

We thought the Air in our homes are much better ? You are wrong ! So read more and understand how to stay ahead of this Urban Air Pollution mess..

When is the last time you took a full breath of clean, fresh air ? There is something about clean & crisp air that is completely unforgettable: the way it feels on you, the energy it brings to your body, and the freshness it contributes to that moment. This something that a lot of us don’t experience all too often.

 

Did you know that the air in an average home is 4-5 (even up to 10) times more polluted than the air outside?

Indoor Air Pollution: Why is it a problem?

Have you ever been in a building that immediately makes your eyes watery, throat scratchy or skin dry? It’s not your imagination or a consequential manifestation of your desires to be “allergic to work”- these are in fact very real symptoms of sick building syndrome, a common phenomenon created from pollutants in an indoor space.

While new technologies work to combine energy efficiency with adequate ventilation and non-toxic building materials, such architectural shifts are slow and can be expensive to incorporate in an already sagging real estate market. However, with most of us spending about 90% of our time indoors at stuffy schools and offices, in sweaty gyms or relaxing in our homes, this issue is not really something that can wait. According to the Environmental Protection Agency (EPA), poor indoor air quality has been linked to a multitude of conditions,

Eye, nose, throat and skin irritation
Respiratory tract infections: bronchitis, pneumonia, ear infections
Increased severity and frequency of asthma episodes
Dizziness, fatigue and lethargy
Damage to liver, kidneys and central nervous system
Chronic health conditions including heart disease, cancer and infertility

So what causes Air Pollution: 

Volatile Organic Compounds (VOCs) : Household products: paints, paint strippers, wood preservatives, aerosol sprays, cleaners/disinfectants, air fresheners, stored fuels and auto products, hobby supplies, dry-cleaned clothing.

Formaldehyde : Pressed wood products (plywood paneling, particleboard etc): furniture, decking, playground equipment; durable press textiles, glues, insulation

Biologicals (Pollen, Fungi, Dust Mites, Airborne bacteria/viruses) : Wet or moist walls, ceilings, carpets, bedding, household pets, poorly maintained humidifiers/air conditioners

Asbestos : Deteriorating, damaged, disturbed insulation, fireproofing, acoustical materials, floor tiles

Pesticides : Products to kill outdoor pests, garden and lawn chemicals

Respirable Particles : Cigarette, pipe and cigar smoke, wood stoves, fireplaces and kerosene heaters

What can you do about it?

Increase ventilation in your home

Find a high quality air purifier & air quality monitors.

Get some houseplants

Clean Curtains and Carpets frequently.

Knowing what’s in your Air ?

Air Quality Monitors help us to monitor, measure the quality of the air we breathe frequently.  It can alert us when something is not right like excess Carbon dioxide, Carbon monoxide, Other toxic gases, Dust, Oxygen content etc.

There are several off the shelf products that can help measure things for you.  There are also custom monitors that are designed based on our needs and which can do notifications / open ventilations / perform actions etc. Techuva helps build need based IOT equipments (with AMC, Warranty, Installation, O & M) at much competitive rates than an off-the-shelf products.

Our Indoor, Outdoor Air Quality Monitors comes [Built on open-stack] comes with a Mobile App, Desktop App, Live Reports & Instant Notifications – supports 2 models  (a) PaaS Model (b) On-Premise model.

Techuva Solutions is an Custom IOT Startup Company, Who does from Idea to Product Design to Manufacture and Installation under 1 roof. IoT Components are sourced from 10+ countries.

Techuva is also an Top 25 IoT Startup Company in ASIAPAC [CIO Outlook Asia – 2018]

Need a free consultation / Product Discussion – Chat with our IoT Architects for free (write to us : info@techuva.com)

Can Airlines or Travel apps predict your next travel ? An Interesting Insight

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YES ! Your Airline does knows where you will travel next upto 61% accuracy.

airline cards
airline cards

Yes people travel for a wide variety of purposes like for Work, Tour, Leisure, Hobby etc. Airline Industry’s competition has reached a point where they are spending crores of rupees on data mining, pattern matching, browser cookies sharing, loyalty programs etc.

eg : The Loyalty Program of the private airlines are “BIG Golden eggs” for analysis and understanding their precious customer’s choices, pattern and several insights.

Big Data Analytics to Airline Loyalty programs is a classic example of data can be analyzed and understood in different dimensions. In airlines industry, transactions are an indicator of the satisfied needs of members, and not necessarily an indicator of the latest needs.

Members may not necessarily make the same transactions again and again in airlines, unlike industries like Flipkart of Amazon. Hence, looking at interactions data and open data augmentation can help airlines to predict the needs of customers better. Airlines can leverage such data to understand what type of traveler a member is and predict what destinations would interest him/her. It doesn’t ends there – Data is shared across their trusted partners. Collaboration is the Key.

Everytime when a customer books a ticket to destination – more offers and value additions of that place is shared to the customer to make “upsell”. Airline analysts feels that “Customer in hand, is worth 3 new customers”.

Consumers can get concerned when they are repeatedly targeted by blanket advertisements. However, they are delighted when they are served offers that match their needs. In this case, an airline loyalty program that truly understands you can make your dream trip a reality.

Predictive analytical techniques can help brands to pick up 6 different categories like persona attributes, needs, sentiment, nice-to-have, relationships and life events of their members from various data sources.

This enables Performance Marketing to be executed in the right manner, leaving users delighted.

For example, the date of your marriage or bday could be detected from the digital footprints you leave behind online. Airlines can leverage these techniques using cookies, shared data from other vendors to send the right offers at the right time. What if the airline loyalty program sends Alicia an irresistible “flights and stay” offer to the Goa or Singapore just in time around the bonus.

 

So Performance Marketing , Analytics & Upsell – It’s the future.

stay tuned.. for more.

-Shan
Techuva Solutions Pvt LtdA Digital Transformation & Personalised IoT Company focussed on delivering customised IOT Solutions.

Millennials are the Top Cybercrime Targets. Why ?

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Question – Millennials are being hit harder by cybercrime than any other generation. Why is that ?

 

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Though stealing someone’s identity is illegal, there are plenty of sneaky but legal tactics scammers and hackers employ that can expose you to identity theft as well. The first step in preventing this distressing scenario is being aware of the more common data collection schemes used to leave you vulnerable.

The millennials are among those groups of people who are most adversely impacted by cybercrime. Data seems to point to poor awareness of basic security habits as the main reason millennials have been hit so hard. To mention just a few of their poor security habits, members of this generation tend to be CARELESS with credentials, as well as visiting unsecure websites and performing transactions over public and unsecured Wi-Fi networks especially in unsuspected areas like Coffee stations, Airports, Malls etc.

Lack of familiarity with standard security measures and obsession with the internet could be the reasons millennials tend to be so reckless with their browsing habits. It seems that the sudden improvement in internet browsing experience and surge in online transactions and mobile apps (which are less secure) have also partly contributed to the reckless behavior. Improved awareness is probably the only solution to the problem. With cyberattacks on the rise in terms of both volume and variety, millennials could be sitting ducks.

  • A survey of fraud victims by internet firm found that millennials are more likely to fall victim to online scams than those 55 or older.
  • They also found that 10 percent of millennials fell victim to phishing and other cyberscams in 2017. Those millennials lost £612 ($856) on average.
  • Media Smarts, a public-private partnership which promotes digital and media literacy, surveyed people to find that more than one-third of millennials did not believe that schools and colleges had been providing adequate training in cybersecurity best practices.
  • Millennials tend to use weak or commonly used passwords that can be easily guessed. As a result, the systems or accounts can be easily breached. Another dangerous practice followed by millennials is sharing of passwords.

So, Why Are Millennials so Vulnerable?

The millennials are part of a unique generation that straddles two different eras in terms of access to technology. When they were born, the internet was probably at a nascent stage, accessible to only a few. By the time they attained adulthood, or were maybe in their mid-30s, access to the internet was considered a necessity. This can probably explain, to an extent, the careless attitude of millennials towards online browsing.

Conclusion

It is interesting that the millennials would behave the way they do, when it comes to online transactions. It seems that there are two ways they can make themselves more secure against cybercrimes. One, over time, they learn from their mistakes and become smarter about online security.

Also, they will have the examples of their succeeding generations, who are probably savvier as far as online transactions are concerned. Two, there needs to be a greater emphasis on awareness toward secure online transactions.

The initiatives need to come from different levels: government, schools and other educational institutions. However, improvement in online behavior is going to take a long time because it is basically a cultural and mindset issue.

Until then, millennials represent an easy target for cybercriminals because on a retail basis, it offers the lure of easy money for the cybercriminals.

Stay tuned for more 

Hybrid Cloud – Why Enterprises are moving there ?

Public Cloud – For the last decade, the cloud computing has been the focus of IT decision makers and corporate IT Heads, but many security-conscious businesses have been hesitant to move data and workloads into the cloud.

Now, with the underlying technology behind cloud services available for deployment inside organisations, a new model of cloud computing is gaining a foothold in business: the hybrid cloud.

What is hybrid cloud?

What customers want to do is simply use multiple clouds – like One or more public clouds connected to something in a data center. That thing could be a private cloud, that thing could just be traditional data center infrastructure.

Hybrid cloud is the combination of one or more public cloud providers (such as Amazon Web Services or Google Cloud Platform) with a private cloud platform — one that’s designed for use by a single organisation — or private IT infrastructure. The public cloud and private infrastructure, which operate independently of each other, communicate over an encrypted connection, using technology that allows for the portability of data and applications.

So in other words .. Hybrid cloud is particularly valuable for dynamic or highly changeable workloads. For example, a transactional order entry system that experiences significant demand spikes around the holiday season is a good hybrid cloud candidate. The application could run in private cloud, but use cloud bursting to access additional computing resources from a public cloud when computing demands spike. To connect private and public cloud resources, this model requires a hybrid cloud environment.

Public cloud’s flexibility and scalability eliminates the need for a company to make massive capital expenditures to accommodate short-term spikes in demand. The public cloud provider supplies compute resources, and the company only pays for the resources it consumes.

So for end-consumer -hybrid is defined cloud as: “Two or more disparate cloud computing environments that are used in conjunction to serve a workload or an application in concert through a single management plane.”

There are tools to manage the same, such as Egenera PAN Cloud Director, RightScale Cloud Management, CliQr’s CloudCenter and Scalr Enterprise Cloud Management Platform help businesses handle workflow creation, service catalogs, billing and other tasks related to hybrid cloud.

The benefits of going hybrid

With the hybrid cloud model, IT decision makers have more control over both the private and public components than using a prepackaged public cloud platform.  “you get everything that you want.” This includes increased efficiency and the flexibility to meet disparate needs.

So analysts calls this as “It lets you pick the right cloud for the right workload,”

Building a hybrid cloud with private infrastructure that’s directly accessible — in other words, not being pushed through the public internet — greatly reduces access time and latency in comparison to public cloud services.

Where hybrid doesn’t work

Although hybrid cloud provides several advantages over the public-cloud-only, it still suffers from the same privacy and security issues that plague the popular perception of public cloud platform providers. Allowing information to be transported across a network that can be subject to third-party interference or tapping is, to many organizations, an unnecessary and unacceptable security risk.

Who uses hybrid cloud?

The industries that are moving to hybrid, such as media and finance.

Hybrid clouds are frequently deployed in the financial sector, particularly when proximity is important and physical space is at a premium — such as on or adjacent to a trading floor. Pushing trade orders through the private cloud infrastructure and running analytics on trades from the public cloud infrastructure greatly decreases the amount of physical space needed for the latency-sensitive task of making trade orders. This is crucial for data security, as well. Threshold-defined trading algorithms are the entire business of many investment firms. Trusting this data to a public cloud provider is, to most firms, an unnecessary risk that could expose the entire underpinnings of their business.

Infact, Law firms also utilize hybrid cloud infrastructures with private elements, often as encrypted offsite data stores, to safeguard against the potential for loss due to theft, hardware failure, or a natural disaster such as a cyclones or hurricanes destroying the original documentation or evidence.

 

So ultimately, our conclusion –

While the upfront cost of server hardware for the private end of the hybrid cloud is high, the control that IT departments can wield over hardware selection and system design for the private component offers an invaluable way of properly tailoring resources to the business’s needs. Assembling a private cloud to handle a standard workload, with burst compute offloaded to the public cloud, can be a long-term budget-friendly arrangement.

Hybrid cloud allows organizations to leverage public cloud services without offloading the entirety of their data to a third-party data center. This provides a great deal of flexibility in computing tasks, while keeping vital components within the company firewall.

Stay tuned for more..

– Techuva Design and Artistic team.

Making Web Content Go Viral – A Big Deal today

Viral marketing can be as powerful as the internet buzz suggests, but the relationship between effort and reward is not always proportional.

Viral Marketing

So what’s it  & what is the buzz about it ?
Viral marketing refers to a technique in marketing a product or a service where users help in spreading the advertiser’s message to other websites or the users create a scenario which can lead to multi-fold growth.

e.g:  A Viral Marketing of Job Portal in India has lead to 19.5X growth in next quarter.. which lead to an explosion in business growth.

A much more bigger example is the “ALS Ice Bucket Challenge” more than 650,000 people posted videos of their ALS challenge world wide.

So many viral ad campaigns have capitalised on the massive popularity of viral videos. So what happens is that People pass the links around to each other, and the video acquires a much larger audience than its makers expected it to garner. It needs to have a special quality that lends it to multiple viewings.

Advertisers have been smart to embrace viral videos. Attaching a brand name to a video is a great way for a company to expose itself to people who might not otherwise be interested in that brand. – this is what many companies like Cadbury, Coca-Cola, P&G & other media houses have done in the past.

So what poses as a challenge : The problem with trying to use a viral video to advertise a product is that you cannot always anticipate what will become a hit. A video goes viral because there is something new or exciting about it that resonates with people – so 8 / 10 times , its hard predict the outcome.

Currently, There is no market research that would be able to dictate exactly what people want to see in a video. The whole point is that people want to see something that they have not seen before.

The best viral marketing campaign examples – most part of it is due to luck. Many of these brands released multiple videos, most of which failed to become sensations.

So technically – Viral marketing is the rapid sharing of an idea, a portion of this idea contains a marketing message about buying a product or service.. which all the majors brands capitalise .

So here are 4 things, The market research says about making your content a viral.

  1. Think outside of traditional marketing                     –  Looking for a new approach.
  2. Take your marketing into the real world                  – Connecting it to reality.
  3. Reward your customers                                            – Increasing the Loyalty Base
  4. Team up with unlikely partners                                –  Taking the road less travelled

 

So one of the key aspect to marketing is “being real”, Do remember Consumers cannot be fooled. The biggest mistake a company can make is to fake authenticity. Don’t even try.

So in a nutshell –

Viral content usually has a well-designed viral strategy behind it, it is, in part, also due to luck, but creativity and preparation are also extremely important… So being Unique, Being True is the key…

For a complete new brand experience – talk to us for free .  or email us @ info@techuva.com

Stay tuned for more.
– Techuva Design and Artistic team.

Robots are coming for your job — here’s what to do about it

Robots are coming

The fear of job loss due to automation is no longer relegated to only physical-labor manufacturing jobs and relatively simple transaction-based, customer-service workers (i.e., bank tellers, grocery store clerks, and travel agents). Companies are increasingly adopting sophisticated “cognitive” technologies across a new swath of knowledge-worker jobs in fields such as finance, health care, and insurance.

“Most of the benefits we see from automation is about higher quality and fewer errors, but in many cases it does reduce labor,”  So “Is Any Job Truly Safe?”

Technology has not only done away with low-wage, low-skill jobs. They cited robots operating trucks in some Australian mines; corporate litigation software replacing employees with advanced degrees who used to sift through thousands of documents prior to trials; and on Wall Street, the automation of jobs previously done by bankers with MBAs or PhDs.

This means 6 of 10 jobs can be automated and replaced by machines in the coming decade in Construction, Factory Operations, Driverless Cabs, Operation Theatres and IT and Middleware developments.. including IT system operation and management (analytics, big data and RPAs).

So what do we do ? Machines are becoming smarter, cheaper and adaptive learning also…

FIVE STEPS TO REMAIN RELEVANT AND EMPLOYED

While the Industry is a sobering representation of an industry-wide, knowledge-worker, job-loss scenario, there is an upside potential concerning the adoption of such advancing technology. It’s the promise of augmentation. Augmentation can be driven through five key strategies knowledge workers should pursue to add value to machines and have machines add value to them:

  1. Stepping up
  2. Stepping aside
  3. Stepping in
  4. Stepping narrowly
  5. Stepping forward

Individuals who take on these strategies must be willing “to burn the midnight oil to improve their own skills, and either make friends with smart machines or find a way to do things they cannot do. Complacency is not an option. But despondency isn’t required either.”

People who step up make high-level decisions. They are senior executives who decide where cognitive technologies need to be utilised, and how new systems fit into the business organisation overall.

Goals for IT / Operation heads of Companies are – “They are deciding what smart people do, what smart machines do, and how they work together.”

 

One the major challenges today are :
One of the big causes for the stagnation of middle class wages is essentially because of clever computer programs.

also “It’s easy to villainize technology,” but fact is – “but there is a lot of opportunity there at the same time.”

Big Companies like Uber has already made press statements like : “Uber is investing heavily in building cars that do no need drivers”. by 2025 – 50% of the worldwide cars will not require drivers and fossil fuels. They will all be Driverless and Hydrogen / Polymer Lithium-ion Cells, which needs to be recharged only once a month.

A Defence Secretary once said  – “The next war could possibly destroy mankind, but it don’t need a Army.. but more buttons”

 

 

 

 

 

 

 

Stay tuned for more info on Automation in operations – Customised Electronics – Next Major Revolution”

 

– Techuva 

Customised IoT – The Future | Why today 6 / 10 problems needs customised solutions ?

One Size dont fit all

The dilemma between choosing off-the shelf product vs developing the custom software through consultant is a never ending saga. Custom development services allow businesses to transform their daily operations into specific goal oriented apps. Unlike off-the-shelf IoT solutions, Custom IoT has the remarkable ability to run exactly the way we want it to.

Since every business has different requirements, it is very difficult for one product to accommodate multiple needs simultaneously. The below are some of the advantages of custom IoT

1. Tailor made :

Customised IoT Solutions are contrived by utilising the latest up-to-date technology. The system are developed exceptionally to satisfy the client’s business requirements.

Any discontent or difficulty of the client that appear during the development process can be improved while the formulation of the software with customer permission and that is the most significant benefit of the customised development.

So no-one-size-fits-all concept work for IoT Solutions in every  6 / 10 scenarios.

2. Minimal cost :

Sometimes the costs associated with developing custom business applications for your business are higher than purchasing a ready-made product, and sometimes they are not. The long-term benefits of investing in developing custom business applications are far more valuable than purchasing a ready-made product. Plus imagine the additional cost you would incur when paying for licences, be it short or long term or implementation when you buy off the shelf products.

Key Takeaway :   Clients only have to pay for what’s required for their business.

3. Maintenance :
With customised IoT solutions , your infrastructure is maintained for as long as you require it to be. With off-the-shelf software, your business is at the mercy of the software / hardware developer that you are purchasing from.

e.g.: This is what happened to a leading consumer brand (washing machines) in India, whose  water-flow and level sensor company was brought by a European Major, they decided to stop the product line completely in 30 days notice.  Which lead to 21% business loss in 2013.

4. Support

A major benefit that you get with custom business applications is an efficient and reliable technical support plan.

You will have full access to a technical support team that was involved in the development process of your application, so all your encountered problems are resolved in an efficient manner. – This is a major challenge when it comes to off-the-shelf IoT Solutions.

Customised IoT Solutions
Customised IoT Solutions

 

Customised Solutions develops collaborative cultures in organisations that want to make a mark in their industry.

The key to driving every desired result in organizations is collaboration.

A white paper  by NASSCOM staged that High-collaboration and high-trust organisations outperform low collaboration and low-trust organisations by 286% in total return to shareholders.

Unlike Software Development , the field of IoT has unique needs for every implementation and attention to every details is very important so that solutions meet the needs of the business at the optimal cost and maintenance overhead.

e.g. Techuva Solutions had to do a 1 month study on a Telangana Government’s IoT Project to just understand various parameters , thresholds and then order sensors from different part of the globe and had it assembled and installed. Though the Prototype Cost for Techuva and Lead time to complete the prototype was higher than suggesting an off-the-shelf product, but this customised package helped us to manage the 7 parameters much more effectively and accurately.

Here are few things that Techuva considered before proposing the solutions :

1. Landscape and Geography
2. Demand and Scalability
3. Data Load
4. Parameters on-demand, off-line
5. Cost
6. Packaging
7. Infra Exposure (like Solar Power , DG Power, Backup, Security, Vandalism) etc.

e.g: Continuous Calliberation of values of hardware sensors becomes easy only if the core logic is re-programmable  OTA (over the air) on a on-demand basis. this helped Techuva and the Client to reprogram / re-calliberate the solutions over 10 times without having the need to go the site.

For a free IoT Consultation : You can visit us or email us

Conclusion : ” There is no magic-sauce for every problem nor there is a cookie cutter out there so solve things easily. So most problems of today needs personalised solutions to yield results faster. ”  – CEO, Techuva.

Open Source Farming a new Agro Innovation, Ultimately the 2018 Trendsetter !!

Agro IOT

Smart farming is a concept quickly catching on in the agricultural business. Offering high-precision crop control, useful data collection, and automated farming techniques, there are clearly many advantages a networked farm has to offer.

Analysts predicts that food production must increase by 70 percent in the year 2050 in order to meet our estimated world population of 9.6 billion people. Which means “produce more with less”.

Few of our challenges today are climate changes, limited arable land, and costs/availability of fossil fuels. So, what’s the solution? Smart farming & So hows this possible ? 

Few of the advantages IoT brings to the table are : 

  • Ability to innovate the landscape of current farming methods.
  • Predictable Outcome
  • Continuous Monitoring & feedback
  • Optimal usage of natural resources
  • Cheaper Man Power
  • Higher Yield Per Capita
  • Ability to produce desirable traits in different crop yields.

Especially Agro Products like Mushroom Cultivation, Prawn Farms, Organic Tomatoes, Ornamental,Roof-Top Gardens, Herbal Gardens which needs more predictable growth conditions and higher yields are excellent use-cases of IoT Smart Farming.

The very concept of Smart Farming includes monitoring 8-10 parameters internal and external, including right amount sun-light and ambient temperature& others like Soil Moisture, Co2, Humidity, Air Temperature, Nitrogen Levels & other PH parameters of soil and air.

According to a recent MIT Research for Smart Fields in 2016, Wheat and Mushroom Yields can go up as high as 5X compared to the regular ways of farming.

Open Source Farming :

Open Source Farming allows various IOT Companies have access to the Data Feed from the smart farms to analyse various parameters and growth conditions to enable them modify / tweak / re-design their component design parameters and various products. More than 5% farms in Germany, USA, Japan, China have already open-up their data feed to several Institutions to come up with better solutions.

These feeds provide 80% real-time data and 20% historical data to study their patterns and growth levels.

Techuva Solutions have deployed their IOT Mushroom solutions in few pilot farms to analyse growth & other yield parameters to maximise yield & reduce energy bills and manual overheads. Our Analysts predict that we can increase the growth by minimum 25% & reduce energy bills by  20%.

Today Techuva Provides every IoT Client with a Cloud based web ERP Solution, Hybrid Mobile App and Customised IoT Package to suit their growing needs.

For FREE  IoT Consultation / Solution Assistance – email us @ info@techuva.com  or visit us @ www.techuva.com

Technology Leap : Driverless Cabs & Cars – What makes it possible ?

Driverless Car Technology | Future of Automobiles :

By 2025, The autonomous self – driving automobile industry will be worth over 900 Billion USD. 12 Major automobile giants already have a working prototype and some doing large scale field trials different parts of the world (like Google, Tesla, Volkswagen, Mercedes, Audi, BMW).

So roughly 3 mini-computers, 16 sensors , 3 Cameras + half a dozen Radars take control of the car & its mechanics


This is how it finally fits into the bill:

  • Radar sensors dotted around the car monitor the position of vehicles nearby.
  • Video cameras detect traffic lights, read road signs and keep track of other vehicles, while also looking out for pedestrians and other obstacles.
  • Lidar sensors help to detect the edges of roads and identify lane markings by bouncing pulses of light off the car’s surroundings.
  • Ultrasonic sensors in the wheels can detect the position of curbs and other vehicles when parking.
  • Finally, a central computer analyses all of the data from the various sensors to manipulate the steering, acceleration and braking.

This is just the start. As the technology gets cheaper, the driverless car future will increasingly become a reality.

From reducing the number of accidents, to improving emissions compliance and easing congestion, the driverless revolution has begun, and that includes trials in various UK locations.

The driverless technology industry is expected to be worth 900 billion $ globally by 2025 and is currently growing by 16 per cent a year.

Plus machines are much better at following rules than humans; motorway signs advising drivers to slow down or not change lane to avoid creating jams are often ignored by motorists – not so a computer.

So how do driverless cars work? There are several systems that work in conjunction with each other to control a driverless car.

About | Vehicle autonomy levels

SAE International, the engineering standards body, defines six levels of vehicle autonomy. These are used to evaluate the technological sophistication of any driving automation system, based on the amount of human interaction required.

Level 0: Effectively a standard vehicle that can issue warnings to the driver but has no control.

Level 1: Fairly commonplace technologies such as Adaptive Cruise Control (ACC), Parking Assistance with automated steering, and Lane Keeping Assistance (LKA) Type II. The driver must be ready to take control at any point.

Level 2: The driver must keep track of objects and events, in case the automated system fails to respond properly. However, the car can accelerate, brake and steer by itself.

Level 3: The car is capable of monitoring its surroundings and within relatively predictable contexts, such as motorway driving, the driver safely so other things – although must still be ready to take back control if needed.

Level 4: The vehicle can drive by itself in all but the most unpredictable environments. The driver does not normally need to pay attention once the autonomous system is activated.

Level 5: No human intervention is required, other than setting the destination. The vehicle is capable of driving safely by itself and making appropriate decisions.

Autonomous Car
Autonomous Car

So some Interesting Questions to think :

Will there still be crashes? Around 94 percent of total vehicular accidents involve human error and therefore are potentially avoidable. Driverless cars could make roads significantly safer.

Will there be less congestion? Automated vehicles (AV’s) will enable a higher density of passengers per road mile thus making traffic move more efficiently.

Will all cars be autonomous? Autonomous vehicles are expected to comprise 25 percent of the global market between 2035 and 2040.

Will I need a driving licence? The UK government makes a distinction between highly automated vehicles and fully automated vehicles. For AVs rules might change as they may appeal to drivers who can’t or don’t wish to drive regular cars.

Will I still need to buy insurance? Yes, though it might depend on the car’s manufacturer. Companies like Volvo have confirmed they will self-insure their automated cars.

Big News in this industry 
Uber is already testing driverless systems using Volvos XC90s in the US, in San Francisco, Pittsburgh and Arizona. On Nov, 2017 it signed a deal with Volvo to buy a fleet of 24,000 autonomous cars.