How to Develop a Facial Recognition Program?

Posted by Valencia on February 2nd, 2021

The marketplace is likely to expand at a CAGR of 14.5% from 2020 to 2027.

It's evident from these statistics that the facial recognition market has the potential of exponential increase in the future.

Powered by Artificial Intelligence (AI), facial recognition applications are growing such as knotweed. While banks employ them to verify transactions, supermarkets use them to identify under-age drinkers.

Therefore, what are these apps, and how can they work? Let's take a look.

A facial recognition application is a software program that can isolate an individual face, in a video or a picture, and confirm someone's identity.

The system uses biometric to map facial attributes from a video or an image. It compares that particular image with other familiar faces in an existing database to obtain an exact match.

A face recognition development process includes these measures:

• Programmers feed an input image to the algorithm.
• The algorithm creates an embedding for the input image.
• The algorithm then compares the input picture's facial embedding using the embeddings of other famous faces from the database.
• After comparison, it classifies familiar and unfamiliar images.

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Presently, available facial recognition programs can identify details like:

• An individual's approximate age.
• His psychological condition.
• His gender.

The Practice of facial recognition could be effectively divided into five steps:

• Facial monitoring and detection.
• Alignment of the face.
• Matching of attributes.
• Recognition of the face.

For a smooth and seamless performance, a facial recognition system demands:

• A smartphone or a tablet that has a video camera.
• A server that is strong enough to keep a huge database.
• A powerful algorithm which aids with face recognition and comparisons.
• A neural network that is trained and has access to countless images.

If privacy concerns have to be removed and precision improved, then facial recognition apps appear to have become the newest standard for identity verification across industries.

We have jotted down a couple of steps which can allow you to read more develop a facial recognition app for your enterprise. Following is a fast rundown of exactly the same.

How to Create a Facial Recognition Program?

• Define the Project Scope

Before starting creating a facial recognition system, you need to comprehend the idea of facial recognition along with your project's scope. You also need to be clear about if you want to launch the app on the net, Android, or iOS. Thus, plan the project's scalability.

After defining the scope, you must choose the right methodology for developing facial recognition apps. These programs leverage Artificial Intelligence (AI) capabilities, like deep learning. And Agile is the best methodology to develop AI-based programs as you are able to deploy face recognition solutions in manageable sprints.

• Decide on a Development Approach

Next, work closely together with the software experts and programmers on your group to come up with a development strategy that's effective and contains cost-benefits. For example:

1. Conduct thorough research on the right tech stack to create a face recognition program.
2. Use a managed cloud hosting provider if you don't need to manage the IT ecosystem.

• Choose Native Face Detection APIs

Once you start developing the program, use native Objective C and Android APIs to earn your app tremendously functional on both the Apple and Android devices. Platform native APIs are speedy, dependable, constant, and include preloaded elements which make apps flexible and fast. Furthermore, they may be upgraded and deployed quickly as soon as the target API changes. This provides rapid releases and ensures ample room for prospective in-app enhancements.

You can even utilize third-party services like Amazon Rekognition, Microsoft Azure's Face API, KeyLemon Face Recognition API, and also a cloud-based API to create hybrid options. These are paid third party services and offer massive advantages such as:

1. They comprehend specific points on human faces.
2. They discover unacceptable content.
3. They recognize texts.
4. They identify the exact location of the item.

To create your face recognition system precise and flawless, you may use the OpenCV library that is composed of 2500 carefully adapted and optimized algorithms, both classic and modern.

These algorithms can be used to identify human faces and graphics , extract 3D models of different objects, monitor moving items, etc..

What makes most businesses use OpenCV is that this library contains several pre-trained classifiers for faces, smiles, eyes, etc., that make face recognition apps tremendously productive. What's more, it's available on both iOS and Android mobile programs, which makes OpenCV a portable library.

In Conclusion

Facial recognition apps are fast transforming business processes now. These apps are extensively used to protect information against cyber thefts, boost safety at airports, and even diagnose patients via telemedicine.

However, Before You Begin developing your facial recognition program, ask questions like:

• Do you have sufficient funds to finish the development process?
• Is the staff qualified enough to get the job done?
• Do you need to employ a dedicated team for your job?

This will allow you to get clarity and permit you to move ahead with your project efficiently.

You can also contact us for expert help on this. Our applications specialists will map out the very best facial recognition options, maintaining your budget in mind.