A handrail entry monitoring system of a passenger conveyor, comprising: an imaging sensor (310 1-n) and/or a depth sensing sensor (310 1-n) configured to sense at least part of a handrail entry region of the passenger conveyor to acquire a data frame; and a processing apparatus configured to analyze the data frame to monitor whether a handrail entry of the operating passenger conveyor is in a normal state or an abnormal state, wherein the normal state refers to that no foreign matter is about to enter or is already at least partially in a dangerous region of the handrail entry, and the abnormal state refers to that a foreign matter is about to enter or is already at least partially in the dangerous region of the handrail entry; characterised by: a background acquisition module configured to acquire a background model based on a data frame sensed when the handrail entry of the passenger conveyor is in the normal state; a foreground detection module configured to compare a data frame sensed in real time with the background model to obtain a foreground object; a foreground feature extraction module configured to extract a corresponding position feature from the foreground object; and a state judgment module configured to judge, at least based on the position feature, whether the foreground object is in the dangerous region of the handrail entry, and determine, when the judgment result is "yes", that the handrail entry is in the abnormal state. an imaging sensor (310 1-n) and/or a depth sensing sensor (310 1-n) configured to sense at least part of a handrail entry region of the passenger conveyor to acquire a data frame; and a processing apparatus configured to analyze the data frame to monitor whether a handrail entry of the operating passenger conveyor is in a normal state or an abnormal state, wherein the normal state refers to that no foreign matter is about to enter or is already at least partially in a dangerous region of the handrail entry, and the abnormal state refers to that a foreign matter is about to enter or is already at least partially in the dangerous region of the handrail entry; characterised by: a background acquisition module configured to acquire a background model based on a data frame sensed when the handrail entry of the passenger conveyor is in the normal state; a foreground detection module configured to compare a data frame sensed in real time with the background model to obtain a foreground object; a foreground feature extraction module configured to extract a corresponding position feature from the foreground object; and a state judgment module configured to judge, at least based on the position feature, whether the foreground object is in the dangerous region of the handrail entry, and determine, when the judgment result is "yes", that the handrail entry is in the abnormal state. a background acquisition module configured to acquire a background model based on a data frame sensed when the handrail entry of the passenger conveyor is in the normal state; a foreground detection module configured to compare a data frame sensed in real time with the background model to obtain a foreground object; a foreground feature extraction module configured to extract a corresponding position feature from the foreground object; and a state judgment module configured to judge, at least based on the position feature, whether the foreground object is in the dangerous region of the handrail entry, and determine, when the judgment result is "yes", that the handrail entry is in the abnormal state.