Face recognition technology can be integrated with all sorts of hardware, including video cameras, VMS technology, cars, ATMs and more. And via API, developers can integrate face recognition into virtually any software system. The possibilities are endless.
Over the course of hundreds of successful deployments, FaceFirst has had the privilege of working with a variety of partners across multiple industries. And as we hear from an increasing number of organizations interested in integrating face recognition into their products, platforms and solutions, we thought it might be helpful to share some of the most important things to look for in a face recognition partner.
Choosing the right partner is essential. While face recognition algorithms are often within one standard deviation of each other in terms of performance, there’s a vast disparity in the surrounding product capability in terms of speed, scalability and other factors. Here are the five most important things to look for in a face recognition partner:
A face recognition system that is being used successfully across divergent use cases may indicate that the technology is flexible and integrates well. Look for companies that are selling across many industries – for example, enterprise retail, law enforcement and public safety– as well as across varied use cases, such as access control, mobile and surveillance. It may also be helpful to determine whether the company is skilled in deployment and integration.
Proven in the Wild
Standardized laboratory tests are only nominally helpful for assessing speed and accuracy. It’s far more important to assess face recognition technology in real-world environments, where processing speed, camera interoperability, cross-location scaling and other factors can be adequately tested.
Before choosing a face recognition partner, it’s important to determine which parts of the technology in their products is proprietary. There’s a huge difference between companies with developers that are skilled in working with artificial intelligence and machine learning and those that simply integrate with such technologies.
An application programing interface (API) allows developers to integrate face recognition into other platforms and applications in creative ways.
Privacy by Design
Whether face recognition is being used for access control, surveillance, mobile identification or any other use case, it’s important to partner with a company that values privacy. This is especially important since, for example, Facebook has faced blowback for not adequately protecting its users’ privacy with the company’s face recognition algorithm. As a counterexample, when FaceFirst developed its face recognition system, it was designed from the ground up to protect privacy. Here are some of FaceFirst’s privacy-focused features.
If you’re looking for a face recognition partner, contact FaceFirst today to discuss how our powerful and secure facial recognition algorithm can help you achieve your objectives.