7 Success Factors for Choosing the Best Facial Recognition Solution for Your Unique Needs

By: Cyberlink

Facial recognition is rapidly becoming ubiquitous in our daily lives. From mobile devices to health kiosks, more and more consumers are interacting with facial recognition technology. As the technology becomes more readily available through rapid breakthroughs in AI technology, the use cases continue to expand and you may find yourself exploring your own implementation of a facial recognition solution.

When choosing a facial recognition solution, there are many different factors you have to consider. While each implementation is unique and requires a comprehensive approach, the factors for a successful implementation largely remain unchanged regardless of the implementation. Below, you will find our guide to ensuring a successful implementation of a facial recognition solution.

Designing the Best Facial Recognition System for You
There are many options available when it comes to designing a facial recognition solution for your unique scenario. Each core component and decision element described above will impact the effectiveness of the solution for your needs. A safe approach starts by familiarizing yourself with each decision and the range of options that exist today, consider how fast the technology and solution offerings have improved in the recent past and inquire about trends and how expected breakthrough might inform your testing and deployment timeline. Then focus on the elements that are more crucial for the success of your deployment (such as performance, features, hardware, etc.).

It can also be useful to learn about successful deployments and failures in your industry. Many industries have associations and task forces monitoring and analyzing facial recognition and how it could benefit their members.

Finally, use the culmination of this information to build your unique blueprint or decision tree that will guide the right decisions and ultimately result in the best solution that fits your unique needs.

Learn more in the original article here.