AI Computer Vision
Protect access to your workplace with facial security
3D body (skeletal) tracking middleware
Edge AI hardware
for face and body tracking
Facial recognition platform for video processing
Advanced face liveness detection for digital onboarding and KYC
Scalable fasial recognition API for on-pream or AWS cloud deployment
Facial and body recognition library for server, mobile and embedded solutions
3DiVi Inc., founded in 2011, is one of the leading developers of AI and machine learning (ML) technologies for computer vision.
3DiVi News

How to Choose a Face Recognition SDK?

As facial recognition technology becomes more prevalent, developers are increasingly turning to software development kits (SDKs) to integrate this technology into their applications. However, choosing the right facial recognition SDK can be a daunting task, as there are many factors to consider. In this post, we will explore what a developer should take into consideration when choosing a face recognition SDK.

Accuracy and Performance

One of the most important factors to consider when choosing a face recognition SDK is accuracy and performance. Developers should look for an SDK that provides high accuracy rates and can perform well in various lighting conditions, angles, and facial expressions. The SDK should also be able to process images quickly and efficiently, without compromising accuracy.

Ease of Integration

Another crucial factor to consider is the ease of integration. Developers should look for an SDK that is easy to integrate with their existing software and can work seamlessly with other technologies. The SDK should also provide clear documentation and support to help developers integrate it into their applications.


Developers should also consider the compatibility of the SDK with different platforms and devices. The SDK should be able to work on various operating systems, such as Windows, Linux, and macOS, as well as on different hardware devices, such as smartphones, tablets, and cameras.

Security and Privacy

Security and privacy are critical considerations when choosing a facial recognition SDK. Developers should look for an SDK that provides robust security features, such as encryption and secure data storage. The SDK should also comply with privacy regulations, such as GDPR and CCPA, and provide users with control over their data.


Finally, developers should consider the cost of the SDK. While cost should not be the only factor considered, it is essential to choose an SDK that provides value for money. Developers should look for an SDK that offers a reasonable pricing structure, with transparent pricing models and no hidden costs.

In conclusion, choosing the right facial recognition SDK is crucial for developers who want to integrate this technology into their applications. By considering factors such as accuracy and performance, ease of integration, compatibility, security and privacy, and cost, developers can choose an SDK that meets their needs and provides value for money.