What is Image Recognition Technology?
Image recognition technology is the ability of a machine or software to identify places, images, objects, and people. This type of recognition technology uses artificial intelligence (AI) paired with trained algorithms. Many different industries use image recognition technology for their daily business operations.
Image Recognition & FaceApp
FaceApp is a popular artificial intelligence mobile app millions of people use. FaceApp is available on the Android and iOS platforms. This app is part of the photo and video category on Google Play and the App Store.
FaceApp got its start in 2017 and since then, has become one of the most used photo apps. This photo and video app rose to fame due to its innovative artificial intelligence and excellent facial recognition capabilities.
FaceApp had to reinvent itself after the debut of their “ethnicity filters”. The ethnicity filter feature allowed users to change their skin tone. Although there was no harm intended, some users were not pleased, which resulted in the filter being removed from the app.
The technology used for the features and filters of FaceApp is deep learning technology. Unlike Snapchat and similar apps, FaceApp does not use simple overlays. While Snapchat filters are fun to use, FaceApp takes AI technology a step further.
FaceApp lets you perform photo enhancements. These enhancements include:
- changing a user’s appearance by age,
- changing a user’s gender,
- adding a smile, or
- even “beautifying” their faces.
User Benefits of Image Recognition Tech in Mobile Applications
Companies that incorporate image recognition technology in their mobile apps have an advantage over their competition. Some benefits of using this innovative technology include:
- Correct behavioral pattern issues
- Drive user information
- Detailed information regarding the user data pattern
- Provide enhanced personalization for users
- Obtain detailed insights about users
Correct Behavioral Pattern Issues
Mobile apps give businesses access to a variety of user information. This includes:
- user demographics,
- consumer spending behavior, and
- app retention and engagement.
You want your customers to be highly engaged with your app. If your customers are not as responsive as you would like, you’ll need to correct the behavior pattern issues. You can correct these issues by offering safe exploration and instant gratification.
Offering safe exploration gives your mobile app users confidence that their information is safe. This way they don’t have to worry about data errors or lost information.
Everyone loves instant gratification. By offering instant gratification, your mobile users feel like high achievers. This encourages them to continue using the app to get more rewards.
Drive User Information
The more information you have on the user, the better you can tailor your mobile app to your customer’s needs. There are three types of user data you need to have. These include explicit, implicit, and data that is acquired from a third party or external parties.
Explicit user data is data that comes directly from the user. This type of user data can include the user’s name, mailing address, billing information, and other personal information.
Implicit data is data that is not directly provided by users. This type of user data is collected from user interaction. This includes how long a user has been on a specific part of the app. It also includes the number of times a user accesses the app.
Third-party data or external party data is user information that is offered to your business from another business. Each type of user data is important and essential to the betterment of your mobile app.
Detailed Information Regarding User Data
Your app may be great to start, but with detailed information about the user’s pattern, the app can be excellent. This detailed information gives you everything you need to enable your mobile users to customize their experience.
Provide Enhanced Personalization
Personalization matters when you’re using an app. Giving users an ability to make something their own is important. The more your mobile app users further customize the app, the more they will use it. This only drives greater user engagement.
Detailed Insights About Users
Detailed insights about users can help guide your business to new opportunities. Understanding what your customers are interested in allows businesses to double down on those elements.
Many people are comfortable with image recognition technology. The ones who are not comfortable with this technology are worried about how image recognition tech is used. For instance, some people are okay with using facial recognition technology to unlock their smartphones. But what about using this innovative technology for other purposes, such as surveillance?
The iPhone X debuted its image recognition technology using its Face ID feature in 2017. Since then, image and facial recognition technology have become the standard for security for many industries.
Identification vs. Authentication
A lot of people are concerned about how image recognition technology will affect their lives. Using this recognition technology is convenient, especially for mobile phones. Instead of typing in a complex password or pattern, users use their faces instead.
When you’re conducting business, your signature is required. For example, when you purchase something using credit or agreeing to some type of contract, your signature is necessary. Image recognition technology can change this.
Yes, misidentification is bound to happen. Nothing is 100 percent foolproof, including technology. The key to success when using image and facial recognition technology is to use it in conjunction with other tools.
Relying solely on one form of innovative technology is probably not the smartest thing to do. You need to use more than one form of identification technology to validate users.
The Future of Image Recognition Technology
In 2020, facial recognition systems will be used for the 2020 Olympics and Paralympics in Tokyo. Facial recognition software will be used in airports around the world to identify traveling passengers.
Image recognition technology will also be used to:
- create city guides,
- power self-driving cars,
- boost augmented reality applications and gaming,
- help to organize a person’s visual memory, and a variety of other instances.
The current use cases provide us with a small snapshot of where this technology will eventually be.
Konverge has built solutions for companies from small to large. Konverge understands more than just software programming. Our team includes dedicated project managers and business analysts. They can help design a custom software solution that will help your business succeed.
As a Microsoft Partner, we utilize the agile mindset in our design practices. This helps us ensure that you are informed throughout the project. Let us help you build an image recognition solution that will help take your business to the next level.