Abstract: Disclosed are a system and method for automating crowd management in an enclosed premise. The disclosed system includes an entrance sensor at the entry gate and an exit sensor at the exit gate. The entrance sensor detects entry of a person through the entry gate, while the exit sensor detects exit of a person through the exit. The system further includes a control unit connected to the entrance sensor and the exit sensor. The control unit keeps a tally of persons present inside the enclosed premises at a given time based on the difference between the persons entered and left the enclosed premises. The control unit can analyze the images captured by cameras, installed in the enclosed premises and at the entrance gate, using machine learning algorithms to extract one or more features. The one or more features relates to “the persons wearing the facemask”, and “distances between adjacent persons”.

Abstract: The present invention is directed to a system and method for automating crowd management in an enclosed premises. The system comprises an entrance sensor provided at the entry gate, an exit sensor provided at the exit gate, wherein the entrance sensor is configured to detect entry of a person through the entry gate, and the exit sensor is configured to detect exit of a person through the exit. The system further includes a control unit connected to the entrance sensor and the exit sensor. The control unit can keep a tally of the persons present inside the enclosed premises at a given time based on the difference between the persons entered and left the enclosed premises. The system also comprises a plurality of cameras installed in the enclosed premises and at the entry gate, wherein the plurality of cameras is coupled to the control unit.