Weapon detection device
AssigneeElazersafe LLC
InventorRoy Joe Dixon, JR.
Life of this patent
Estimating the term…
Abstract
A discrete wireless miniature non-imaging millimeter wave radar sensors scanning device that detects concealed weapons hidden under humans clothing. The detection sensors include a scanning device integrated with a miniature millimeter wave radar, and an AI MM-wave laser beam camera with diffractive reflector optical lens, by converting radio waves imagery of concealed weapons from the field of view to a recording medium. The wireless miniature non-imaging millimeter wave radar sensors device works in conjunction with the AI MM-wave laser beam camera, which works as a countermeasure against laser jamming. The AI Laser camera automatically activates the built-in-polarization system when it detects radar jamming and changes the polarization light waves passing through the millimeter diffractive optical lenes.
Claims14
A weapon detection device comprising:
- a miniature wireless non-imaging millimeter wave radar scanning sensor, integrated with an AI-driven millimeter wave laser beam camera featuring diffractive optical lenses configured to transmit non-imaging millimeter wave signals representing hidden weapons to a recording medium, and equipped with an audio alarm system that announces “WEAPON IS DETECTED” upon identifying a weapon;
- a 5G mmWave radar transceiver array housed within a weatherproof enclosure;
- an AI-driven laser optical camera mounted adjacent to the radar array;
- an edge computing module configured for local signal processing and AI inference;
- a 5G modem and antenna system for secure data transmission;
- a power subsystem including rechargeable battery and solar input port;
- and
- a mounting bracket for attachment to a pole, wall, or drone platform.
A method of weapon detection comprising the steps of:
- coupling a compact, wireless scanning device to a solar power panel or an IP Network Power Source;
- activating the miniature non-imaging millimeter wave radar sensor;
- emitting millimeter wave signals from said radar sensor capable of penetrating clothing and detecting concealed weapons and drugs;
- receive reflected signals from concealed items;
- analyzing the reflected signals to create an image of any hidden objects;
- sending the generated imagery to a recording medium for further examination;
- integrating an AI-driven millimeter wave laser beam camera with diffractive reflector optical lenses into the examination;
- detecting, through said AI camera, potential radar jamming;
- automatically activating a built-in polarization system to counteract the detected jamming;
- adjust polarization of the light waves passing through the millimeter wave optical lenses;
- filter out interference from jamming;
- continue scanning and detecting concealed weapons and drugs with reduced interference;
- AI learning from said step of scanning to classify non weapons and drugs as interference and disregard in future scanning.
Dependencies are inferred from the claim text.