The demand for facial recognition systems is skyrocketing. Countries like the USA, China, and India are investing heavily in studies and research to explore hidden opportunities in the domain of facial recognition. It is widely been adopted across various domains such as crime detection, emotion detection, attendance tracking, Behavioral Analysis, access control, and much more.

As per the studies, the human capacity to recognize faces is 97.63 percent which is 0.28 percent higher than the capacity of Facebook recognition of 97.35 percent. The capacity of Google algorithms in detecting facial features is 99.63 percent which is approximately 1 percent more than that of human capacity. Leading tech giants like Google and Facebook are making the best use of facial recognition features for delivering an exemplary experience for their end customers and studies are still going on o discover further opportunities.

Advantages of Facial Recognition

As we have discussed earlier that facial recognition varies from person to person, many of us are not still aware of the capacity it holds in real life. It can change an entire system or even change the bandwidth of operations of an entire government. The right usage of the Facial recognition system and its real-world applications has a lot of impact and advantages in our current ecosystem. The main advantages of Facial recognition are listed below

Security

Facial recognition is best for surveillance. It can be used for personal use, business use, or for the public welfare. It can easily detect trespassers, burglars, etc. Also, the government can effectively search for criminals, terrorists using this technology. It offers a high degree in all of the domains it’s been applied to. Enhanced security features offered by facial Recognition systems has made them one of the perfect alternative to the conventional ways how organizations used to work

Swift Processing

As everyone knows the Facial recognition process doesn’t require more than a second or two. The overall operational process of the facial recognition system happens within a blink of an eye, which helps not only the beneficiaries but also the end consumers. Because of its high-speed behavior, on a high level, it helps governments to adopt various steps to prevent lethal activities and massive threats.

Integration                            

Facial recognition technology can be integrated easily in a hassle-free manner. It doesn’t involve any additional cost to be incurred. It is one of the major benefits for each and every company because this technology is compatible with almost all software. This advantage put forward by the system has prompted businesses to onboard the facial recognition system onto their organizational frameworks in an aggressive manner.

Cons of Facial Recognition System

Everything that exists in this nature, even if it’s a living being, processes, phenomena, or even technology comes with a few disadvantages. Likewise, Facial recognition is not free from disadvantages. Some of the disadvantages of the facial recognition system are listed below

Data storage requirement

As Face recognition system makes use of machine learning technology to perform effectively and efficiently it requires a huge amount of dataset to process various activities. This set of data allows the system in delivering more accurate outcomes. For making this happens, it’s quite obvious that there is a need for a massive storage facility. This can be challenging for small and medium-sized companies because it’s simply much more difficult or not possible at all possible for them to afford.

Privacy Breach

It is one of the major concerns while the implication of this technology. Even though It allows the government to identify criminals and terrorists, it is actually paving the way for a lot of concerns over the privacy of the common man. Also, this may lead to a breach of privacy of an individual which is not right ethically. Privacy breach stands as one of the main cons of the facial recognition system.

Accuracy and Dependability

The accuracy of Face Recognition cannot be consistent or may not meet its requirements at times. In other words, it is not one hundred percent dependable all the time. We simply can’t expect it to work each and every time which points to major concern because if it didn’t work when we need it the most and it can be a major disadvantage. Sometimes it can put our life at risk also. A simple change angle of the camera or a change in hairstyle may lead to errors in facial recognition.

Comparison with Other biometric systems

When the Face recognition system is compared to other biometric systems like Fingerprint recognition and recognition the level of accuracy is less, which is a major disadvantage of the system.

Control and Safety

Providing the sample or data for something is the most important matter of all time. If once the data is been given, there is nothing you can do. It will be in the database forever. So it is essential to fully understand something before jumping right into it because there is nothing else that matters more than the safety of individuals.

How does Face Recognition work?

Face recognition isn’t anything that identifies an individual magically. There are certain systematic processes and approaches which are followed by the pathways of technology. Every system that exists in nature is bound to certain rules and regulations. Just like that Face recognition system also follows certain steps to make it make effective, productive, and dependable.

The working of the Facial Recognition System can be complicated at times. Each and every individual changes their looks intentionally by changing their hairstyle, applying makeup, undergoing plastic surgery, etc. Even the pose and posture of a person can be changed each day. Also, there are some other factors like aging, image quality, camera quality, etc which can be challenging for detecting facial features. This may affect the Facial recognition system. But most of the time this system considers all these possibilities and tries to perform in the most efficient manner. For this, it follows certain steps which can be broken into two main stages and they are

Ø Pre-Processing stage

Ø Recognition stage

· Pre-Processing stage

This stage can be further classified into two

a) Face detection and tracking

In this stage, a sample file, a photo, or a video is brought understudy to detect or identify whether it has faced and to figure out all the facial features which can be used in the future as well. This stage of pre-processing can be termed face detection and tracking.

b) Face Alignment

When a person gives a sample, it won’t be perfect or will not meet the requirements all the time. There can be some scenarios where the sample produced may be blurred, dark, out of focus, one side faced, etc. This is where face alignment features come into the picture. It highlights the outlines of facial lines and features of a face in the given sample.

· Recognition stage

This stage can be further classified into two

· Face Extraction

In this step, the geometry of the provided samples will be analyzed in detail by the recognition technology. In order to implement a unique facial signature database like the eyes, nose, lips, chin, the distance between the eyes, distance from the forehead to the chin, etc of a particular individual will be gobbled by the algorithms and will be captured in the preferred format to perform facial recognition process.

· Features matching

At this stage, the facial features are being crosschecked and matched with the one in the database. The system search for the images with similar facial features in the entire directory and all of this takes place in just a fraction of a second. For e.g. matching our face to unlock our phone by cross-checking it with the sample we already have provided by default.

Various industries where Facial Recognition system is used

Ø Automotive manufacturers

Ø Healthcare

Ø Banking and Finance

Ø Marketing, advertising, and retail

Ø Law enforcement

Ø Aviation

Ø Hospitality

Ø Insurance

Some leading companies using face recognition

· Snapchat

· Facebook

· Apple

· Google

· Amazon

· Wal-Mart

· Gelato

Anti — Facial Recognition System

Every system has its own loopholes. No matter how much care, technology, and effort one puts forward in inventing something, to beat it someone else will come up with new ideas. Just like that to prevent facial recognition Japanese Researchers from the National Institute of Informatics created glasses called ‘Privacy Visor’ which nearly uses infrared lights to allow the people who wearing free from all such facial recognition systems.

Key Takeaways

Everything has got its good side as well as bad sides. We can’t determine anything just by looking at only one side of the matter. Each and every system is upgraded and made more dependable as days go on. The face recognition system is no exception to that factor. We have seen major changes in it thanks to changes in facial recognition technology, Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT). Time may arrive soon when we all can depend on a facial recognition system with one hundred percent accuracy, without any drawbacks, or can be used to bring in the best.

DxMinds Innovation Labs – The best Face Recognition Software development company

When it comes to developing high-end facial recognition systems for micro, small, medium to global fortune companies, DxMinds Innovation Labs delivers the best in class services. The key role played by DxMinds Innovation Labs in developing outstanding Facial recognition systems has made it one of the fastest-growing digital transformation companies of all time. DxMinds have got dedicated professionals who are employed to meet and greet our customer’s requirements beyond their expectations. This USA headquartered Facial Recognition software company has corporate offices in countries like the UAE, India, Peru, and Australia, and a customer base widespread across the globe. For more details on how the facial recognition software developed by DxMinds can take your business to the next level and to avail a free consultation, drop a mail to info@dxminds.com

Mobile applications are transforming or live as a whole. The impact it is having on our lives are much more than we imagined that a life without mobile application can’t even be imagined. They are taking our lives to the next level making use of technology. Mobile applications hold a high degree of transformation factor that helps both businesses and their customers.

The second-hand vehicle market holds huge potential as the number of customers who need to buy and sell used cars are growing exponentially. Mobile applications have to do a lot in this segment as it streamlines the entire operations. In this article, we are going to see one such business, which has made the best use of mobile applications for its operations, sales and revenue generation. The app is named to be Autolist and it is one of the fastest-growing used vehicle market places. We will also discuss in detail about the cost of developing a used car mobile application like Autolist.

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More about used car buying and selling mobile application like Autolist

Autolist is a US-based second-hand car buying and selling platform. Autolist mobile application acts as an intermediate platform that connects both buyers and sellers by offering a hassle-free experience for both the parties in the best way possible. The application has got a wide range of vehicles listed on it, which makes it easy for the customer to find the vehicles of their kind. The company has won several awards including “The Top 10 car-buying apps of 2019 by The Street and 2018 by CNET. The company operates across various cities like Albany, Atlanta, Austin, Bakersfield, Columbus, Denver, Fort Wayne, Fresno, Hartford, Houston, Las Vegas, Memphis, Miami, New York, Phoenix, Raleigh, Sacramento, Springfield, Tampa, etc. The app showcases a wide range of vehicles varying from Sedans, Coupes, Wagons, convertibles, Trucks, SUVs, Minivans, crossovers, luxury, CPO, sports and hybrids. The app is trending in its space that a lot of entrepreneurs are actively looking towards the cost of developing a mobile application like Autolist.

Need for a second-hand car buying and selling market place like Autolist

Conventional ways of buying and selling used cars were tedious that it always remained as an unorganized sector. A lot of efforts were involved in the process that it demanded a lot of manual efforts. Mobile applications have taken over all of the so-called activities that existed in the process of online car buying and selling and Autolist is a great example for the same.

Advantages of having an online vehicle buying and selling mobile app like Autolist

· Offers hassle-free experience for the customers

· Eliminates brokerage fees

· Closes the best deal

· Seamless way of buying and selling vehicles

· Online inventory integration

· Certified buyers and sellers

Features of an online vehicle buying and selling mobile application like Autolist

· Sign in/ Sign Up

The app should allow its customers to create an account on the mobile application which can be done with the help of email addresses, phone number or social media handles like Twitter, Facebook, etc.

· User Profile

User Profile is the exclusive space for the users where they can access, view and update their details including username, password, communication details, contact number, etc.

· Integrated camera

The app should have access to the camera as users will need to take and upload pictures of their vehicles. Having an in-app camera will help them in carrying out this process in a seamless manner. This offers an interactive experience to the customers.

· Enhanced Inventory Management system

As it is an online buying and selling car platform, It should have an inventory management system where the customers can find out the dream cars of their kind. This will make their search for the used cars more productive and efficient.

· Comprehensive search bar

The search bar is a mandatory feature that needs to be integrated into the online used vehicle buying and selling mobile applications as the users need to exactly find out the cars they need. This will help them in landing on the vehicles they wish to own.

· Advanced filters

The mobile application has to e integrated with advanced filter options that make the users search for the right car more productive. Filters can be based on the car type, model, year of make, car segment, name, its features, classification based on the type of fuel, price range, etc.

· Content Management System

There should be the right content management system to update and existing or new content in the mobile application.

· Vehicle listing

In an event where a customer wishes to sell his vehicle on an online used vehicle selling the market place, the facilities have to be made possible for him. Having a vehicle listing feature will let them in listing the vehicle which he needs to sell. HE also can add several features including the image of the vehicle, its registration number, model number, features, segment, etc. This helps the vehicle owner in figuring out potential buyers.

· Chabot          

Integrating a high-end chatbot into the existing platform will make the app more appealing as it will help businesses in gaining huge traction across the globe. The main purpose of integrating chatbot is to deliver exemplary customer support to the users and to guide them throughout the entire process of buying or selling a car.

· Interactive UI/UX

Interactive user interface and outstanding user experience help business in attracting customers on to the platform. Eye candy interface plays an important role in determining the success of a mobile application, so in the case of an online vehicle buying and selling software.

How much does it cost to develop an online vehicle buying and selling mobile application like Autolist

Traction the pp has gained across the globe has made Autolist every entrepreneur’s referral domain. The app is delivering unimpeachable services to a wide range of categories. This has enhanced the rising demand for the mobile application and prompted entrepreneurs is keenly searching for the development cost of a vehicle buying and selling mobile applications like Autolist. The costing part of any mobile application is bound to a lot of factors. Some of those factors are mobile application platform, app size. App location, app security, app technology, in-app features, app maintenance and much more. Based on these factors, the development cost of a used car buying and selling mobile application will be approximately around USD 10000 to USD 50000. The price may vary based on the type and characteristics of the prerequisites.

DxMinds Technologies- The best mobile application development company to build a used car market place

DxMinds Innovation Labs is a leading digital transformation and used car buying and selling mobile application Development Company having corporate offices in USA, India, Peru, Australia and UAE and customer base rooted across the globe. DxMinds innovation Labs helps business owners in coming up with high-end mobile applications which help them by playing a key role in determining success. Mobile applications developed by DxMinds are highly reliable, scalable and convenient. For more details on how mobile application built by DxMinds can transform your business, and to avail a free consultation on the same, drop a mail to info@dxminds.com