Facial recognition software works by detecting the position of faces in camera images, and matching facial features such as the contours of our eyes and jawlines to a database through machine learning. It is becoming increasingly ubiquitous and is currently being used for applications ranging from unlocking smartphones to checking into hotels.

Facial recognition has been proved in multiple studies to be inaccurate in identifying people of colour, resulting in racial bias.

Pollen is a drop-in alternative for facial recognition systems with two major differences.

Pollen does not seek to recognize or identify an individual.

Built around the idea of anonymity by design, Pollen’s algorithms do not use biometric data. That means no databases of thumbprints, signatures or faces are involved and there is no way to identify you or link your location and actions to you as an individual.  

Pollen cannot track anyone and does not track or keep any record of  an individual’s prior movements

Every time an individual visits a location, Pollen treats that individual  as a new person.  

We built Pollen as a response to the ethical problems we see in facial recognition. However, Pollen is not a regression to less developed technology – we have also developed it to be technically superior. Pollen cutting edge computer vision technology to enable behavioral analytics without the need for any facial or biometric recognition or tracking.    In addition, Pollen can be deployed at five times the distance of common facial recognition systems.

Pollen is not a step backward but a rethinking of our relationship with technology. Contact us to learn more how you can harness the benefits of AI systems while respecting the individual.