Abstract: A passive magnetic detection and discrimination system and method is disclosed. The system comprises at least one sensing structure having a plurality of magnetic inductive sensors arranged on a rigid framework; at least one screening area defined by one or more sensing structures, whereby the plurality of magnetic inductive sensors are configured to respond to a magnetized object passing thereby; and a processor and a memory operatively connected to the plurality of sensors and configured to receive data corresponding to amplitude waveforms created in each of the plurality of sensors by the magnetized object. Based on characteristic waveforms created by the magnetized object passing by the plurality of sensors, the system is configured to detect and discriminates the magnetized object. In another embodiment, the system utilizes an artificial intelligence or machine learning module to improve identification of a magnetized object based on the characteristic waveforms created by the magnetized object.

Abstract: A system and method for a smart stand-alone multi-sensor gateway for detection of person-borne threats. The multi-sensor gateway system consists of two pillars comprising a plurality of sensors that build a gateway for patrons to pass through that detects concealed threats carried on-body. The threat detection relies on artificial intelligence (Al) to analyze the sensors’ data and assess the presence of a threat. The Al is performed on an edge device contained within the gateway. The gateway can consist of a plurality of peripherals that enhance the sensing capability of the gateway, such as a camera or an accelerometer, and provide the security guard with information around alerts and threat locations such as with displays or audible alerts and manage the operations such as displays to control throughput.