Facial Recognition technology – SAFR can be applied to the recognition of emotions and identification of facial expressions, allowing the analysis of how users and consumers relate to certain products and services.
The identification of emotions provides crucial data that allows obtaining information on complex human behaviors in greater depth, since these influence all kinds of issues, such as the decisions we make about whether to buy something or not, in the choice of food and how we interact with others.
Our emotion recognition technology has a wide variety of applications, from knowing the response of consumers to advertisements, products, packaging or store design (in sectors as diverse as automotive, health or entertainment) to determining the degree of satisfaction of training content in the educational field (both face-to-face and eLearning). And all this in real time.
Matches faces appearing on live video feeds in real-time with 98.87% accuracy so registered individuals are always spotted despite challenging real-world conditions. More accurate and faster than manual monitoring.
Provides a central knowledge bank of known faces and monitoring activity that’s always up to date. Consistent across distributed locations, simple to update to ensure records are correct, and easy to search to perform post-event analysis.
Get instant notifications when persons of interest are spotted. Customize notifications and alarms based on a variety of detection or recognition events and program automated security response workflows and SMS and email notifications.
Perimeter Lockout AI is a perimeter surveillance video-analytics solution for professional users that, thanks to Deep Learning, can discriminate the usual false alarms produced by camera movement, animals, shadows, lights or rain, among others. The implementation of artificial intelligence algorithms in video analytics increases its efficiency The implementation of artificial intelligence algorithms in video-analytic solutions […]
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