Self-contained infrared-based detection, classification and warning system in lamp or dongle form factor

Abstract

Autonomous detection and warning system, characterized in that it comprises at least one infrared radiation sensor unit, a local processing unit for pattern and motion analysis, and a classification unit, wherein the system detects movements and distinguishes between different object or body types.

Description

1. Technical area:

[0001] The invention relates to a self-contained sensor and evaluation system, in particular for the detection, classification and evaluation of movements and body shapes in indoor and outdoor areas, using infrared radiation, without the mandatory use of cameras, GPS, cloud services or a permanent internet connection. 2. State of the art

[0002] Use known systems: • Optical cameras (visible light) • Simple PIR motion detectors • Cloud-based video analysis • GPS or network-dependent location tracking • Rigid threshold - motion solution

[0003] These systems have significant disadvantages: • High number of false alarms (animals, vehicles, changing lights) • Data privacy issues • Permanent network dependency • Lack of function in darkness, fog or impaired visibility • High energy consumption 3. Object of the invention

[0004] The object of the invention is to provide an energy-efficient, privacy-friendly and self-sufficient system that: • Not only detects movements, but also classifies them • Can distinguish between people, animals, objects, and vehicles • Works reliably in complete darkness, fog or smoke • Evaluates locally (edge ​​processing) • Can be implemented as a lamp, dongle, stick or compact device. 4. Solution to the task

[0005] The task is solved by a system with the following characteristics: • At least one infrared radiation source and / or infrared sensor • A local processing unit that distinguishes motion profiles • A control and response unit that triggers actions (e.g., light, alarm, message) • An independent energy supply (mains, battery, solar or combination) • Optimal external communication, but not absolutely necessary

[0006] The invention works without cameras or with minimal cameras, so that no personal image data needs to be generated. 5. Special embodiments

[0007] The system can be executed as: • Infrared lamp with integrated intelligence • Plug-in dongle (USB, wall socket, vehicle) • Mobile device with battery • Permanently installed unit (e.g., building, site, infrastructure)

[0008] The system is suitable for: • Residential and commercial properties • Industrial and logistics areas • Critical infrastructures • Transportation, garages, train stations • Mobile applications (vehicles) 6. Advantages of the invention • Significant reduction in false alarms • No permanent video surveillance necessary • Low energy consumption • Independent of internet, GPS or cloud • High operational reliability even in poor visibility conditions • Modular and cost-effective integration 7. Summary

[0009] The invention represents a novel, self-contained infrared-based detection and classification system that functionally complements or replaces existing motion detectors and camera-based systems, while being more privacy-friendly, robust and versatile.

Claims

[1] Autonomous detection and warning system, characterized by , that includes at least one infrared radiation s- or sensor unit, a local processing unit for pattern and motion analysis, and a classification unit, wherein the system detects movements and distinguishes between different object or body types. [2] System according to claim 1, characterized by that the evaluation is carried out without the transmission of personal image data. [3] System according to any one of the preceding claims, characterized by that it is designed as a lamp, dongle or plug-in module. [4] System according to any one of the preceding claims, characterized by that it can be operated independently of GPS signals and cloud services. [5] System according to any one of the preceding claims, characterized by that it functions in darkness, fog or limited visibility. [6] Infrared monitoring system according to claims 1 to 5, characterized by that the system is used for the detection, classification and monitoring of drones, whereby • Infrared sensors are used to locate drone positions, altitudes, and movements. • The control unit evaluates the collected data and makes an AI-supported distinction between drones, birds, and airplanes. • The communication interface forwards information to control centers or mobile units, enabling automatic drone detection and continuous monitoring. [7] System according to claim 6, characterized by that the system has an automatic response capability to detected drones, including... • Warning from control centers or users, • Calculation of potential flight paths and danger zones, • Control of non-lethal defensive measures such as signal jamming, net jettisoning, or controlled landing • Protection against manipulation and unauthorized access to the sensor and control units, resulting in a secure, autonomous infrared drone surveillance system. [8] Infrared monitoring system according to any one of claims 1 to 7, characterized by , that the system is integrated into flying drones, Whereby: • The drone moves the system mobile over terrain, industrial plants, borders or other areas to be monitored, • The sensors enable the detection, classification, and location of objects or drones from the air. • The processing unit analyzes the data in real time and transmits it to control centers, ground stations or other drones, • The power supply, protective devices, and communication units are optimized for flight operations, thus providing an autonomous, flying infrared surveillance and drone detection system. [9] infrared monitoring system according to any one of claims 1 to 8, characterized by , that the system is integrated into vehicle control systems, wherein: • The sensors are used to detect drones, obstacles, or objects, • The processing unit analyzes, classifies, and automatically forwards the captured data to the vehicle control system in real time. • The vehicle control system performs autonomous measures based on the analysis, including evasive action, braking, or warning the occupants, • The data can optionally be transmitted to a central control center or other vehicles to create a comprehensive situational picture, thereby enabling vehicles to act as mobile sensor stations and increasing safety and monitoring in road traffic.