Grekkom Technologies partners with SAFR to offer the most advanced facial recognition technology

Grekkom Technologies, a specialist in the development and commercialization of video analytics solutions, and SAFR, advanced facial recognition technology with the ability to instantly detect and precisely match millions of faces in real time, have reached an agreement that will allow the use of this technology in many new projects.

In an environment in which touchless technologies (without physical contact) have acquired a capital importance, implementing facial recognition offers countless advantages in a multitude of areas: from access control to identity verification, through demographic analysis. With the agreement reached between Grekkom Technologies and SAFR, a leading technology in facial recognition, a multitude of security and customer service projects will be enhanced by applying the latest in this type of solution.

SAFR is 99.87% accurate and can detect and match a face in a live video feed in under 100 milliseconds

SAFR’s facial recognition technology

SAFR can instantly detect and accurately match millions of faces in real time — even in challenging real-world conditions where faces are in motion, at difficult angles, under poor lighting conditions or partially obscured. SAFR is 99.87% accurate and can detect and match a face in a live video feed in under 100 milliseconds — 3-5 times faster than competing facial recognition algorithms.

A wide variety of solutions thanks to facial recognition

SAFR technology offers a completely secure non-contact alternative (applying, among others, the proof of life to avoid fraud) in many different situations:

• Access control: at present, the concern to provide more security to critical or vulnerable facilities is growing. Facial recognition technology is unique in improving the security of access to facilities such as workstations, schools, hospitals, borders or facilities with high-level security.
• Face mask detection: through Facial Recognition technology – SAFR it is possible to detect the use of masks for COVID-19 through video analysis in real time, guaranteeing that all those who access a room or area use it and in the correct way.
• Capacity Control: one of the main restrictions caused by the COVID-19 pandemic is the need to limit the capacity of the different public spaces (terraces, establishments, businesses, trains, busses, etc.) and the necessary counting of people to guarantee that said limited capacity is respected.
• Identity verification: Facial Recognition technology – SAFR is not only a first level ally for improving the security of venues, but also to increase personal security through identity verification.
• Identification of VIP: the technology of Facial Recognition – SAFR of video analysis in real time allows, by comparing a database of previous records, to identify the identity of the people viewed and detect those classified as VIP. In this way, it is guaranteed that only people in this category have access to additional services or benefits (such as fast queues, private access or exclusive spaces and unique services).
• Identification of criminals: thanks to the application of AI, Facial Recognition technology – SAFR can identify the people visualized by comparing a database of previous records. This makes it a top-notch tool for identifying criminals in real time by analyzing CCTV footage.
• Emotion recognition: 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.
• Loyalty programs: customer loyalty is what most companies should strive for. Having an exceptional loyalty program can lead to significant business growth and greater customer retention. The facial recognition of registered users, together with their previous history of consumption or brand loyalty, offers enormous advantages: personalization of the service, access to premium products or promotions and discounts.
• Hotel Guest Database: the accommodation industry deals with large volumes of clients at once and for hotel owners, airlines and other companies, it is a priority to deal with them efficiently, without compromising security. As a result, it is an ideal field to implement facial recognition technology.
• Ticket validation: one of the recurring fears at large sporting events and concerts is the possible forgery of tickets or fraudulent access to them, which has led to the development of new and improved ticket validation and security systems. Within the latter, the Facial Recognition technology – SAFR represents a true revolution in terms of guaranteeing the integrity of the entries and the legitimization of access, since it allows the establishment of buyer-ticket binomials.
• Stadiums and Events: both large sporting and other events (for example, mass concerts) present several complex security issues due to the number of attendees. Facial Recognition technology – SAFR offers a robust and agile solution when it comes to managing access control and capacity control, identifying in real time individuals previously banned from the facilities for violent behavior or facilitating the entry of registered users such as VIP members, in addition to providing greater ticket sales.
• Casinos: Facial Recognition technology – SAFR offers several advantages in casino management, and not only in terms of security. On the one hand, of course, it allows real-time alerting of the access of unwanted people from the black list without drawing the attention of customers or even the identification of criminals and, on the other, notifying of the arrival of VIP by facilitating a more personalized and exclusive reception and treatment.
• Demographic Analysis: is the product reaching the right market segment? How are different target audiences consuming it? Demographic analysis using facial recognition makes it easy to obtain the data you need to answer these kinds of key questions.

You can request a demonstration of SAFR‘s facial recognition technology at: https://grekkom.com/en/demos/facial-recognition/