March 30, 2022
A Full Guide On How To Build An Image and Facial Recognition App In 2022
Table of content
- A Full Guide On How To Build An Image and Facial Recognition App In 2022
- What are Image Recognition Apps (IR-Apps)?
- Where Can Image Recognition Developments be Used?
- What are the Benefits of IR Technology?
- What are Examples of IR Apps?
- What are the Options For IR App Development?
- Image Recognition App Development
- How to Create an IR-App with Interexy
- Final Thoughts
The facial recognition industry has grown in popularity within two years. Even though the market may seem small, the demand for facial recognition software is huge and growing every day. This technology represents the latest outputs of artificial intelligence (AI) and machine learning (ML).
Such systems are slowly but efficiently integrating our daily lives. They allow users to pick them in a crowd of people by identifying their faces, leading to a variety of outcomes. They also allow you to unlock the phone, pay for purchases without a physical card, get you imprisoned, note that you’ve entered the office, and can provide many more things that ease the hectic modern lifestyle.
If you feel that facial recognition technology is almost everywhere you go, that’s pretty much it. Its extreme popularity comes from its numerous benefits. One of the main benefits of a picture face recognition app is high safety and security. In today’s world, large enterprises like airports use it for identifying various subjects of interest. These platforms are also quick and autonomous, meaning they don’t require direct interaction.
But this article is not about face recognition technology overall. We are going to explain what it means for the modern world, how it can benefit businesses and the required steps for image recognition app development. Let’s start from the very beginning.
What are Image Recognition Apps (IR-Apps)?
These applications are online or mobile programs that are able to isolate a human face in an image, video or even sometimes recognize the identity of a person it belongs to. In addition, these apps may also recognize other items in the same way either. Modern face recognition apps can isolate such details as:
- sex of the person;
- approximate age;
- emotional state.
Now, let’s learn about the mechanism of face recognition. Image recognition usually comes down to pixel processing as well as photo matching. Facial recognition technology works in the same way. When the person is identified on the camera, it is then compared with a database of previously detected and saved photos. Let’s break down the process of face recognition into three primary types:
- Face detection. This stage is needed to allow the algorithm to learn what a face is. After that, the camera identifies a face and draws a scope around it to make autofocus. Within some time, the algorithms will be able to differentiate a table and a face. The main responsibility of this step is to find the face and nothing else around it.
- Face analysis. Here the technology maps faces in order to measure key details, like eyes, nose, and mouth, the shape of the chin, and more. When the algorithm has found a face, it then applies additional tests to find out whether it is really a face. Once everything is done, the data is converted into a faceprint.
- Face recognition. This is a stage where an algorithm confirms the identity of a person in a picture. Here the technology tries to recognize the face and compare it to a name present in the database.
Although there are numerous approaches to facial recognition, they are all reliable. The main difference will be the complexity of implementation and the resources needed to perform them.
Where Can Image Recognition Developments be Used?
Medical Image Analysis
Visual recognition technology is now a brand-new instrument in the medical space that allows computers to learn images that are collected during the whole treatment process. While boosting the healthcare industry, medical image analysis has also become a highly profitable option under the artificial intelligence umbrella.
Pattern and Objects Detection
Since AI photo recognition and video recognition apps are valuable for detecting not only people, these technologies are also used to identify patterns, logos, objects, places, colors, and more things. Therefore, they can be perfectly applied to any multiple software programs. For instance, these programs can later be used for counting people, as one famous computer vision application in retail stores.
Food Image Recognition
In-depth learning image recognition of various foods is used for dietary computer platforms. This means image recognition apps have been expertly crafted to boost the accuracy of pre-existing and new measurements of dietary intake. This is possible by checking the food pictures taken by mobile phone.
What are the Benefits of IR Technology?
1. Higher product discoverability through a visual search
A well-thought-out image recognition technology can put the products into categories. Such platforms commonly have a catalog where items are organized based on several differences. This improved organization of a vast number of products helps customers to easily find what they came for with no hassle. Due to this AI, your app will have higher success with better functionality accuracy and better retention rates.
2. Improved engagement on social media
Even though it might be surprising, image and face recognition on social networks has already become a trend. For example, platforms like Facebook and Instagram use this technology and allow users to share photos and tag their beloved ones on them. And the well-trained AI can recognize people’s faces and emotions. Such modern technologies make sure these applications get a higher audience reach and help users organize their photos in a brand-new way.
3. Optimized advertising and better marketing campaigns
Another point why you should consider a picture face recognition app is the ability of optimization for mobile advertising. Proper marketing campaigns always rely on in-depth knowledge about the target audience. More specifically, mobile apps can get maximum results by redesigning them to power the product with image identification technology.
What are Examples of IR Apps?
This is one of the most popular applications in this industry. Being powered by neural networks based on AI, the platform is able to generate real transformations of uploaded photos. The app provides various ways people can change their faces, such as aiding makeup, changing their hair color, putting on smiles, and even recreating the sex of the photo.
The Aipoly Vision is also popular but sets even the higher bar by providing unique features such as image recognition apps. This app ensures that the developer should not always be an IT giant to create something in demand and innovative. In addition, this application helps visually impaired, and color-blind users identify items by simply checking them through smartphone cameras.
TapTapSee is also designed especially for blind and visually disabled customers. This product uses the smartphone’s camera to detect anything you point the camera at. TapTapSee application contains an innovative feature known as the voice-over function that helps the product look for the identified object’s name out loud.
What are the Options For IR App Development?
Since IR app development is a challenging process, let’s break down the two possible ways you can craft this product.
Building an app from scratch
Crafting an image recognition application from scratch is a time-consuming and usually expensive process. You will need to hire experienced engineers in the AI field while also making sure they have already worked with machine learning, data science, and computer vision.
By using native APIs
Since not everyone is able to perform such a high level of experience required by the first option, most companies develop these apps through APIs. Therefore, companies will be able to develop image identification apps by spending less time, money, and resources. However, here you will also need an experienced team that will integrate the API into the application and ensure efficient image detection and recognition features.
Image Recognition App Development
- Collect Requirements
Since it is vital to gather requirements before starting the process, you will need either to perform an in-depth analysis by yourself or hire a team of business analysts to draft your project plan. You should also consider hiring an experienced project manager.
The questions below may help you identify the main things:
- Who is your target audience?
- Do your users prefer iOS, Android, or both?
- What monetization method do you want?
- What will your app need to identify?
2. Choose the Features
Some must-have features that use the most popular apps include:
- Search results from the internet;
- Similar images and videos;
- Shopping results, price comparisons, and retailers;
- Feedback and reviews;
- Share images on social media;
- Create visual reminders;
- Scan QR codes;
- Offline using.
3. Determine Your Technology Stack
Once you are ready with features and a plan, it is time to identify what tech stack you will use. You can use Swift for native iOS applications, while for Android platforms, it is best to use Java or Kotlin for platforms offered by Android. When developing an app using APIs, your developers may choose to use 3rd party APIs. It is vital to note that each 3rd party API involves an external dependency, meaning it might be required to develop your own APIs from time to time.
4. Create UX/UI Design
The next stage is to create an engaging UX/UI design for your future app. The design plays an essential role in the app’s success, so make sure you choose the best out of the best designers for this project. They will provide you with mockups, and you will be able to improve the design several times before starting development.
5. Hire Developers
Even though you can hire developers one by one, it is always recommended to seek professional help from an experienced team. This will not only reduce cost and time but also ensure stable code and high performance. Learn about our machine learning app development services.
The testing stage is even more vital than any other mentioned before. Since you will need to later present an app to this tricky market, you will want to ensure the best results and positive feedback from first users. Therefore, make sure your team provides rigorous testing.
7. Launch and Marketing
Finally, your app is developed, and the last stage is launching. However, with the demand for these applications, consider creating strong marketing campaigns. This will ensure you stand out from the crowd and get a higher audience reach.
How to Create an IR-App with Interexy?
Whether you just came up with a concept or have a detailed plan for the development, Interexy is a trusted partner for any of your ideas. We are experienced in IR app development and have a team of top-notch specialists in this field. We always ensure only transparent development, competitive price, and outstanding results.
Our services are vast and include development for both Android and iOS platforms while also providing cross-platform development as well. In addition, our engineers have been working with artificial intelligence and machine learning. So we can craft an app of any complexity for your market success. You can also check virtual reality (VR) app development for a brand-new application.
While this market is flourishing and can help any business gain stable income, developing IR applications might be a challenging process for most companies. This is because this image recognition technology requires experience, expertise, and resources. Therefore, it is best to hire an experienced team of developers who can allow you to rest assured that the final product will attract attention and help you boost your business needs. Reach us out to learn more about our services, and let us become your trusted partner!
What is an image recognition app?
As the name applies, the image recognition app uses image recognition technology to detect objects, people, locations, and more items. These applications usually use machine learning + vision and artificial intelligence to provide such services.
How long does it take to develop a facial recognition app?
This depends on many factors. However, with the right team behind and taking an average complexity of the app, it may take somewhere between 4-7 months.
How much does it cost to produce my image recognition app?
There is no correct answer. But you can reduce the overall cost by hiring a whole team rather than looking for developers one by one. The price usually starts from $50.000.