SYSTEMS AND METHODS FOR ESTIMATING FOOT TRAFFIC

1 .- 62 . (canceled)

63 . A system for detecting human traffic based on reception of wireless identification signals transmitted by a plurality of wireless tags, the system comprising:

at least one processor configured to:

receive, during a first period of limited traffic activity, first signals transmitted from a plurality of wireless tags to a plurality of receivers within an establishment;

determine, based on the first signals, baseline signal characteristics for at least one location within the establishment;

receive, during a second period of increased traffic activity, second signals transmitted from the plurality of wireless tags to the plurality of receivers within the establishment;

determine, based on the second signals, signal characteristics for the at least one location during the second period;

compare the baseline signal characteristics to the signal characteristics during the second period to determine deviations from the baseline signal characteristics in the at least one location; and

based on the deviations from the baseline signal characteristics in the at least one location, estimate a level of traffic activity in each location of the at least one location.

64 . The system of claim 63 , wherein the at least one processor is further configured to generate a traffic heatmap for the establishment based on the deviations from the baseline signal characteristics in the at least one location.

65 . The system of claim 64 , wherein the at least one processor is further configured to recommend positioning of products in the establishment based on the heatmap.

66 . The system of claim 63 , wherein the at least one processor is further configured to calculate a plurality of traffic activity level estimates over time.

67 . The system of claim 66 , wherein the at least one processor is further configured to recommend staffing of the establishment based on the plurality of traffic activity level estimates over time.

68 . The system of claim 63 , wherein the at least one processor is further configured to:

receive information on a number of staff present in the establishment; and

adjust the estimated level of traffic activity to omit staff-related traffic activity.

69 . The system of claim 63 , wherein the at least one processor is further configured to identify, from the deviations from the baseline signal characteristics in the at least one location, trajectories of individual persons passing through the establishment.

70 . The system of claim 69 , wherein the at least one processor is further configured to:

identify a plurality of particular products in the establishment associated with engagement events; and

assign at least two of the particular products to a single engagement basket, based on a correlation between the at least two particular products and the trajectory of at least one individual person through the establishment.

71 . The system of claim 70 , wherein the at least one processor is further configured to recommend a display pairing of the particular products in the single engagement basket.

72 . The system of claim 69 , wherein the at least one processor is further configured to identify the trajectory of a non-purchaser through the establishment.

73 . The system of claim 72 , wherein the at least one processor is further configured to adjust the estimated level of traffic activity based on the trajectory of the non-purchaser.

74 . The system of claim 63 , wherein the at least one processor is configured to:

receive location information of a plurality of products within the establishment; and

calculate, from the location information of the plurality of products and the level of traffic activity in each location of the at least one location, an impression score for each product.

75 . The system of claim 63 , wherein the at least one processor is configured to determine the baseline signal characteristics for the at least one location based on first location determinations of the wireless tags and at least one of amplitude data of the first signals, phase data of the first signals, direction data of the first signals, angle of arrival data of the first signals, angle of departure data of the first signals, and data content of the first signals.

76 . The system of claim 63 , wherein the at least one processor is further configured to:

receive, during the first period, a first signal transmitted from a given one of the wireless tags at a first location;

receive, during the second period, a second signal transmitted from the given one of the wireless tags at a second location different from the first location; and

determine the deviations from the baseline signal characteristics based, at least in part, on the first signal and the second signal.

77 . The system of claim 63 , wherein the at least one processor is further configured to estimate the level of traffic activity in each of the at least one location independent of image data of the at least one location.

78 . The system of claim 63 , wherein each wireless tag is configured to transmit a unique ID signal and is attached to an associated product within the establishment.

79 . A non-transitory computer readable medium containing instructions that when executed by at least one processor cause the at least one processor to perform operations for detecting human traffic based on reception of wireless identification signals transmitted by a plurality of wireless tags, the operations comprising:

receiving, during a first period of limited traffic activity, first signals transmitted from a plurality of wireless tags to a plurality of receivers within an establishment;

determining, based on the first signals, baseline signal characteristics for at least one location within the establishment;

receiving, during a second period of increased traffic activity, second signals transmitted from the plurality of wireless tags to the plurality of receivers within the establishment;

determining, based on the second signals, signal characteristics for the at least one location during the second period;

comparing the baseline signal characteristics to the signal characteristics during the second period to determine deviations from the baseline signal characteristics in the at least one location; and

estimating, based on the deviations from the baseline signal characteristics in the at least one location, a level of traffic activity in each location of the at least one location.

80 . The non-transitory computer readable medium of claim 79 , wherein the operations further comprise generating a traffic heatmap for the establishment based on the deviations from the baseline signal characteristics in the at least one location.

81 . A method for detecting human traffic based on reception of wireless identification signals transmitted by a plurality of wireless tags, the method comprising:

receiving, during a first period of limited traffic activity, first signals transmitted from a plurality of wireless tags to a plurality of receivers within an establishment;

determining, based on the first signals, baseline signal characteristics for at least one location within the establishment;

receiving, during a second period of increased traffic activity, second signals transmitted from the plurality of wireless tags to the plurality of receivers within the establishment;

determining, based on the second signals, signal characteristics for the at least one location during the second period;

comparing the baseline signal characteristics to the signal characteristics during the second period to determine deviations from the baseline signal characteristics in the at least one location; and

estimating, based on the deviations from the baseline signal characteristics in the at least one location, a level of traffic activity in each location of the at least one location.

82 . The method of claim 81 , further comprising generating a traffic heatmap for the establishment based on the deviations from the baseline signal characteristics in the at least one location.

83 .- 102 . (canceled)