Abstract: A checkout lane alert system and method is a live, computer base, in-store system that integrates real time shopper traffic data with computerized statistical analysis to generate accurate short term forecasts of shopper traffic at the checkout lanes of the store. Shopper entry time data from a recognition system is used in the analysis. The system combines real time data with pre-gathered statistical data about the population that shops in a particular type of store and data which characterizes the checkout lane throughput capability for the store to predict checkout lane traffic and staffing requirements.

Abstract: A system for automatically recognizing persons or objects as they move past a selected location and for classifying the persons or objects in accordance with selected criteria. The system includes emitters for emitting beams toward a person or object moving past a selected location to generate reflected beams from the person or object. The included angle of the emitted and reflected beam is a function of the height of the person or object. A detector detects the reflected beams and generates signals representative of the included angle, and thus representative of a time-dependent height profile of the person or object from which the beams are reflected. The person or object is classified according to selected criteria.