System and method for detecting object patterns using ultra-wideband (uwb) radar

A system for detecting an object of interest in a region of interest, comprising:

• a radar transceiver array comprising at least one ultra-wideband transmitter configured to transmit ultra-wideband electromagnetic pulses into a region of interest and at least one ultra-wideband receiver configured to receive ultra-wideband electromagnetic pulses reflected from the region of interest and to generate scanning data representing the reflected ultra-wideband electromagnetic pulses;
• and
• a pattern recognition device comprising at least one processor and a memory, the memory storing a prediction function generated based on calibration data obtained using the radar transceiver array while the region of interest is scanned when the object of interest is present in the region of interest and calibration data obtained using the radar transceiver array while the region of interest is scanned when the object of interest is absent from the region of interest,
• wherein the pattern recognition device is configured to:
• obtain scanning data from the radar transceiver array while the region of interest is scanned during operation of the system;
• apply the prediction function to the obtained scanning data to determine whether the scanning data corresponds to a pattern associated with the object of interest in the region of interest;
• and
• generate an alert signal in response to determining that the scanning data corresponds to the pattern associated with the object of interest in the region of interest.

A system for detecting a concealed weapon or contraband in a walkway, comprising:

• an ultra-wideband radar transceiver array positioned adjacent a walkway that defines a region of interest, the ultra-wideband radar transceiver array configured to transmit ultra-wideband electromagnetic pulses into the region of interest and to receive ultra-wideband electromagnetic pulses reflected from one or more individuals passing through the region of interest to produce scanning data comprising data or patterns associated with the one or more individuals;
• a pattern recognition device comprising at least one processor and a memory storing a convolutional neural network trained as a prediction function using first calibration data obtained from the ultra-wideband radar transceiver array when one or more individuals carrying concealed weapons or contraband pass through the region of interest and second calibration data obtained from the ultra-wideband radar transceiver array when one or more individuals not carrying concealed weapons or contraband pass through the region of interest,
• wherein the pattern recognition device is configured to:
• receive scanning data from the ultra-wideband radar transceiver array while at least one individual passes through the region of interest;
• process the scanning data as input to the convolutional neural network to apply the prediction function to identify an object-of-interest pattern indicative of whether the at least one individual is carrying a concealed weapon or contraband;
• and
• upon identifying the object-of-interest pattern, generate an alert signal indicating detection of a concealed weapon or contraband.