Dev Chaudhary


From Imagination to Reality, EMBRACE INNOVATION with Self Driving Cars!

#autonomous-vehicle #br-softech #kisan-andolan #driver-less-car #driver-less-taxi #tesla

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From Imagination to Reality, EMBRACE INNOVATION with Self Driving Cars!
Tamia  Walter

Tamia Walter


How to Build an On-Demand Car Wash App And How Much Does It Cost?

As many industries are going through a lot in the US and across the world. The carwash industry is one of the industries whose demand is never-ending across the country. From a report given by IBISWorld Industry, the annual revenue over a five-year period from 2016-2021 is estimated at about $10.2 billion with $1.9 billion in profit.

The car wash services are very important and necessary for car owners to maintain their car look and feel better. Many people think that lockdown might take this business downside, but the important fact is that every vehicle owner takes this as an opportunity to maintain their cars at a good outlook and appearance. There is an enormous market for the on-demand car washing market which you should make benefit out of it.

The amount of 75% of car owners avails car washing services in the US. As you will know, it is more effortless to bring in customers to your business by making the most out of the digital marketing strategies. The first step in building the digital value for your business is through a sleek website and a seamless mobile application. When it comes to car wash business, the On-demand application is the best choice to attract new costumers and retain old customers.

Many businesses have transformed their services by developing applications on both iOS and Android platforms. With the next-generation technology, make the most out of the present opportunities.

You shouldn’t build an On-demand Car wash Application without reading this article.

**ALSO READ: **How To Build A Custom CRM From Scratch

This comprehensive blog is to help you decide on how to strategically build your On-demand Car wash Application for your business or as a car wash business marketplace.

Read this article to find answers to the questions in your mind about building a car wash mobile application that will help you make the right decisions. Being a technology specialist Agira technologies have always been serving startups and help entrepreneurs break through the struggles in converting the intellectual business idea into reality.

This is the generation, where peoples use the internet to buy products and started to buy from the company mobile app itself. This mobile app technology influenced all the businesses including the car wash industry also.

Must-have Features of On-Demand Car Wash Application

When you are building a mobile application, it is important to understand the requirements of your business and especially the customers. The users of this application should feel comfortable using the application to make use of the car washing services around their neighborhood.

If you are starting a business, and building an application to support your business, it is better to launch the application with a minimum viable product and then add up the additional features according to the requirements of your customers or by studying their behavior on using the application.

  • User Registration
  • Service Request
  • Geolocation
  • Service Packages
  • Service Availability
  • Multiple payment options
  • Push Notifications

Desirable Features

  • Social Sign-in
  • Reviews and Ratings
  • Order history
  • Heat Map view
  • Discounts and offers
  • Loyalty programs

Admin App Features

  • Order Management
  • Profile Management
  • Schedule Management
  • Wallet Management

To build a complete application that can cater to the business needs and the logic would require a strong backend that can work effectively in any situation and a front end development that lets the customers immerse into the application.

Also, as an entrepreneur, you should be able to decide if you want to build native applications on both platforms or opt for cross-platform application development. Each application development involves its own pros and cons. So, it is important to find the right application development approach that is suitable for your business, budget, and time frame.

**ALSO READ: **How to Build a Local Events App Like Eventbrite and YPlan

How Much Does It Cost To Build A Car Wash Application?

After deciding on the features for your minimum viable product, you can come up with the approximate number that cost to build an On-Demand car wash application. As already mentioned, every feature that is added to application results in adding up more time to build. As you will pay the application developers on an hourly basis, the more it takes to develop, it cost you more. This means that more features approach is equal to an increase in development cost, delay in time to market.

To build a top-notch mobile application, you will need to hire a mobile application development company or hire a team of development teams. In order to build an enterprise application, you will need a development team of the following.

  • UI/UX Designers
  • Backend Developer
  • Android Developers and iOS Developers or cross-platform developers
  • QA Specialists
  • Project Manager

If you want to know the exact cost of building an On-demand Car Wash application, plan your idea, list your requirements, and contact us to get a precise cost estimation for your business project.

We, Agira technologies are a technology solution company with business services and domain solutions that support global clients who comprise the current world economy. Some of the exclusive services that we offer are web development, mobile app development, Blockchain, IoT, and DevOps Consulting.

Do you find it interesting? you might also like these articles. Top 10 Best Tech Companies For Employees To Work In The USA In 2020 and Top 10 IT Staffing and Recruiting Agencies in the USA.

If you have a business idea in your mind and search for a reliable web development company, you are in the right place. Hire the best web developers in the industry from Agira technologies.

Looking For A Tech Partner To Domina

#enterprise application #automatic car wash #car wash android app #car wash app india #car wash booking app #diy car wash near me #how to make a car wash app #manual car wash near me #self car wash near me

Virgil  Hagenes

Virgil Hagenes


4 Overlooked Challenges to Our Shiny Self-Driving Future

According to the United States Environmental Protection Agency, transportation alone contributes 29 percent of US greenhouse gas emissions and according to the World Health Organization, approximately 1.35 million people die each year as a result of road traffic crashes, but self-driving cars are coming to fix this, with multi-billion dollar tech and motor companies like Google, Uber, Ford, and General Motors betting on the future of transportation to be one with electric, autonomous and shared vehicles.

The self-driving future will liberate the 68% of the world’s population that live in cities in 2050 from owning cars, cars will not be owned by the average person but rather they will be an affordable service provided by large tech and motor manufacturing companies.

The self-driving future is one where autonomous vehicles will no longer be fiction, one where vehicles will be fully functional without any need for human intervention or manual navigation. Autonomous vehicles will be faster, easier, safer, and better for the planet, and without the cost of drivers and gasoline, prices fall dramatically making this new technology more available to the general public.

The driverless future of transportation is one where because of the automation of cars by computers, car crashes will be seen as rare rather than inevitable tragedies. With transportation becoming an affordable service with widespread availability, the driverless future will see the elderly and disabled having access to cheap and convenient transportation.

Self-driving cars are the future, but many argue that the driverless future is most times oversold for what it is, as so much optimism hides the many obstacles on the road to the self-driving future, many of which include;


Space is a valuable and important resource in urban areas, but with transportation being cheaper due to the elimination of drivers and gasoline, more people will opt into self-driving vehicles as a means of commuting, thus increasing the number of cars on the road.

One major suggestion to remedy the congestion due to the increase in the number of vehicles is to build more and bigger roads, but larger roads only work for a while, because as roads improve, more people drive, making it just as congested as it was before. The construction and enlargement of roads will also cause another huge problem, larger road further push city buildings apart from one another and increasing commute time.

#security #autonomous-cars #self-driving-cars #future #against-self-driving-cars

Dev Chaudhary


From Imagination to Reality, EMBRACE INNOVATION with Self Driving Cars!

#ai #artificial #artificial-intelligence #driver-less-car #autonomous-car

Seamus  Quitzon

Seamus Quitzon


Autonomous driving market overview

Indeed, just like we turned from horses to cars about a 100 years ago, mobility is slowly turning from mechanical transportation machines to supercomputers on wheels; creating a new land of opportunities for outsiders to come in and for balances of power to shift drastically in a trillion dollar automotive industry.

“Autonomous driving is at the heart of what is considered the second inflection point of mobility.”

Since autonomous driving activities kicked off with the DARPA challenge in 2004, the ecosystem became a lot larger and fiercely competitive with OEMs and tier 1 suppliers now joined by internet companies, TELCOs, electronics manufacturers, and a large crowd of startups. A spurge of innovation and enthusiasm notably took the market by storm from 2013 to 2017 with expectations that autonomous cars would be widely adopted by 2020.

Billions of funding later, where is autonomous driving standing right now?

The promise of a better future

What’s a self-driving car? In simple words, a self-driving car is a car with the ability to perceive the outside environment and to make driving decisions upon it, and thus, drive by itself. It usually takes the form of a car retrofitted with a bunch of sensors (e.g. cameras, lidars, and radars) and powered by an embedded supercomputer trained to be a super driver (sort of substituting for the eyes and the brain of the driver).

What sounded like science fiction 20 years ago has never seemed so real today with autonomous cars quickly becoming the greatest hope to get rid of bad human drivers (e.g. responsible of 90% of accidents on the road), offer mobility to people with health problems and disabilities, reduce congestion in cities (e.g. traffic jams and parking), increase productivity for soon to be ex-drivers, have robots deliver packages to our doors, or even to bring many mobility companies in profitable territory (e.g. taxis and ride hailing companies).

“Humans spend on average thousands of hours in cars (including hundreds of hours stuck in traffic or looking for parking), while also being held responsible for 90% of road accidents.”

These perspectives for innovation drove tech companies to take the market by storm which in turn, thanks to majorbreakthroughs in artificial intelligence and machine learning, led to unprecedent progress and massive amounts of funding. The boom of the industry in the mid-2010s further drew over-optimistic predictions with a wide range of actors such as General Motors, Ford, Google’s Waymo, Toyota, Honda, and Tesla all promising us autonomous cars around 2020.

Yet, 2020 is here and self-driving cars aren’t.

Overcoming the data challenge

Autonomous driving is at the crossroad of many challenges which are likely to unfold as followed: technology, and then, in a lesser extent, regulation and adoption.

First and foremost, autonomous driving companies need to make sure that the tech is solid and that self-driving cars are as close as possible to being 100% safe, making a case at surpassing their human counterparts. In fact, autonomous cars being 99% safe would result in killing 1 every 100 pedestrians crossed and would amount to millions of deaths very quickly. Making self-driving cars work is extremely difficult and involves a set of very complex technologies such as computer vision, artificial intelligence, or machine learning for cars to learn how to drive from data accumulated on the road and that will be further transformed in hard-coded computer rules.

Once the tech is ready, governments and public institutions will need to lay the ground to introduce and regulate autonomous cars in our day to day transportation. That includes granting authorizations to autonomous driving companies to test and to drive in public areas as well as agreeing on a legislation defining rules and responsibilities (e.g. liability in accidents, proper data collection, sharing of the road for self-driving and regular cars).

Lastly, it will be important to provide user friendly commercial applications and to educate people about self-driving cars in order to enhance public adoption. Today, more than 50% of people still don’t feel comfortable about riding autonomous cars. Moreover, even though younger generations are more inclined to shared mobility services and new technologies, cars have long been meaningful possessions advocating for freedom and social status.

Each of these challenges will take some time to be addressed but what has truly been delaying commercial roll plans is the technical complexity of building the technological stack. Over the last 10 years, the industry has laid the ground to capture, store, and process billions of hours of driving data to teach cars how to behave in increasingly complicated scenarios, but self-driving cars now seem to be confronted to the limitations of big data.

Indeed, in order to learn from new scenarios, self-driving cars need to run into infrequent situations, or “edge cases”, which require an ever-larger number of miles to be driven and data to be accumulated. The trick in improving autonomous driving is that the closer we get to the 100% safety mark, the more infrequent the edge cases are, the more data we need to find them, and the exponentially more difficult progress becomes.

In 2017, Intel notably claimed that self-driving cars generated between 1TO and 5TO of data per hour per test vehicle, which for companies running fleets of tests vehicles all day long represents the equivalent of an ocean of data. Working through these massive amounts of data proved to be highly complex, time consuming, expensive, and unsustainable; forcing many companies to reconsider their go-to-market.

“Self-driving cars generate between 1TO and 5TO of data per hour per vehicle.”

Who’s leading the autonomous driving race?

Despite the bumps in the road, many companies are stepping up their efforts and betting that future gains will far outweigh the burdens of bringing the technology to market.

To help us track the race towards fully automated vehicles, the Society of Automotive Engineers (SAE) notably described autonomous driving in 6 levels of automation ranging from no automation to full automation.

At its core, the tech behind autonomous driving relies on capturing, processing, and deploying data that will power a self-driving software. The driving software is the holy grail of the industry and many tech companies leveraged their unfair advantage in software and data management.

“Not surprisingly, the leader in autonomous driving today isn’t a car manufacturer but Waymo: a Google spinoff.”

Autonomous driving performance has been measured in a few (maybe debatable) metrics that became standards in the industry, one of which being the miles driven per disengagement reported at the Department of Motor Vehicles (DMV) in California (level 3 and above).

In 2019, surprisingly and for the first time since 2015, Waymo came second in miles per disengagement behind Baidu rising to the top with over 18 000 miles per disengagement. However, Waymo and GM Cruise largely dominated other metrics with 1.4 million miles driven by 148 test vehicles and 0.8 million miles driven by 228 test vehicles respectively (e.g. Baidu drove 0.1 million miles with 4 test vehicles).

It’s worth noting that if startups seem to be leading the way in autonomous driving performance, large corporations tend to be more secretive about testing while also filing more patents to protect intellectual property.

In terms of commercialization and state of the art, autonomous driving is still very limited with Tesla proposing the most sophisticated self-driving car on the market with level 2/3 automation and a few actors offering level 4 automation in specific use cases (e.g. parcel and goods delivery, residential transportation).

Hence, besides all the excitement about autonomous driving and all the big announcements about commercial plans rolling out anytime soon, we’re still a long way from level 5 and full automation in our day to day transportation.

“It could take up to a few decades before autonomous cars are widely adopted.”

#self-driving-cars #mobility #autonomous-driving #autonomous-cars #cars #mobile app

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