Targeted advertisement system

A computer-implemented method for targeted advertising, the method comprising:

• capturing one or more images of a plurality of individuals in a location in a facility with an imaging device, wherein the one or more images are at least one of still and video images;
• performing face detection on the one or more images;
• producing, based on the faces detected, age estimation and gender identification for each detected face using a Convolutional Neural Network (CNN) based deep learning model;
• determining a targeted audience based on pre-determined criteria using the age and gender identification of each detected face;
• and
• selecting a relevant advertisement for the targeted audience for display on a display device, wherein the relevant advertisement is selected based at least in part on a footfall score (fscore) indicative of customer traffic in the facility.

A non-transitory machine-readable medium storing instructions executable by a computing device, wherein execution of the instructions causes the computing device to implement a method for targeted advertising, the method comprising:

• capturing one or more images of a plurality of individuals in a location in a facility with an imaging device, wherein the one or more images are at least one of still and video images;
• performing face detection on the one or more images;
• producing, based on the faces detected, age estimation and gender identification for each detected face using a Convolutional Neural Network (CNN) based deep learning model;
• determining a targeted audience based on pre-determined criteria using the age and gender identification of each detected face;
• and
• selecting a relevant advertisement for the targeted audience for display on a display device, wherein the relevant advertisement is selected based at least in part on a footfall score (fscore) indicative of customer traffic in the facility.