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Drone Detection, Countermeasure, And Anti-interference Solution

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Multi-spectral target recognition tracking servo JP32

Product applicationsAirport security, border perimeter defense, low altitude proximity defense, low and small slow target tracking, etc. Product Features Visible light, uncooled thermal imaging ultra-long focal length, multi-spectral imaging under the same SOC encoding, transmission Dual-spectrum images are automatically zoom, focus integration, visible light images support optical fog Intelligent applications: edge computing, deep learning algorithms, support for target detection, target identification, target tracking Target classification and identification: more than 80 kinds of classification target identification such as people, vehicles, boats, animals, etc., similarity ratio judgment optional multi-sensor signal access, sensing alarm, voice intercom, environmental parameters, power management, etc. open architecture, can accept radar, AIS, ADS-B. Spectrum, TDOA and other multi-party system guidance Accurate azimuth, field of view return, can realize the accurate positioning of drones, cars, boats and other moving targets Independent IP or virtual dual IP, support national standard protocols, free access to all kinds of NVR, IPSAN, management platforms Triple defense structure The wind resistance level 15, adapt to the application of harsh environments 1-25KM large aircraft target detection, tracking, identification, 1-10KM aircraft landing gear target identification 1-6KM low-small and slow target detection, tracking, identification 1-20KM land and sea detection, tracking, identification, and other typical targets, such as people, cars, boats. Detection, tracking and identification of typical targets, such as people, vehicles, ships, etc. Parameter optical visual Image Resolution 1920*1080 @25fps/30fpsLens Focal Length F12.3-800mm, 65X Optical Continuous ZoomOptical Characteristics Color, Black and White, Optical FoggingImage Adjustment White Balance Exposure Compensation, Wide Dynamic, Gain Control, 3D Noise ReductionVideo Parameters Brightness, Contrast, Sharpness, SaturationFocus Mode Auto/ManualDaytime OperationPerformance Indicators 1.Reference Target: Civil AirlinerDetection Distance: ≥ 25KM; Tracking Distance: ≥ 20KM; Recognition Distance: ≥ 15KM2.Reference Target: Drone (Axis Distance 35cm)Detection Distance: ≥ 5KM; Tracking Distance: ≥ 4.5KM; Recognition distance: ≥3.5KM3. Reference target: humanDetection distance: ≥10KM; Tracking distance: ≥4KM; Recognition distance: ≥3KM4. Reference target: vehicleDetection distance: ≥15KM; Tracking distance: ≥6KM; Recognition distance: ≥4KM(Working conditions: ambient temperature: ≤20℃, visibility: ≥20Km, relative humidity: <40%) Thermalimage detector type uncooled (vanadium oxide detector, sensing band: 8-14um)image resolution 640 * 512; image encoding resolution: 1280 * 1024Lens focal length F30--150mm, optical 5X continuous zoomimage display modes Thermal black, thermal white, pseudo-colornight workperformance indicators 1. Reference target: civil aviation airlinersDetection distance: ≥ 18KM; Tracking distance: ≥12KM; Recognition distance: ≥8KM2. Reference target: UAVDetection distance: ≥2KM; Tracking distance: ≥1.5KM; Recognition distance: ≥1.2KM3. Reference target: humanDetection distance: ≥2KM; Tracking distance: ≥1KM; Recognition distance: ≥0.8KM4. Reference target: carDetection distance: ≥5KM; Tracking distance: ≥2KM; Recognition distance: ≥1.5KM(working conditions: ambient temperature: ≤20℃, visibility: ≥20Km, relative humidity: <40%) Servo Serving TurningTurntable Type Servo Direct Drive, PID FeedbackHorizontal Range, Speed 0°~360° Horizontal Keyed Speed: 0.05°~80°/sPitching Range, Speed -60°~+90° Vertical Keyed Speed: 0.05°~60°/sHorizontal Angle Correction Full Angle Electronic Corrective CompensationPreset Position Stopping Accuracy ±0.01°Turntable Functions 3D Control, Telephoto Speed Limit, Preset Position Cruise, auto scanning, watchman position Intelligent functionautomatic search full-screen motion target search, hot target tracking searchguidance mode can receive radar, spectrum, TDOA, ADS-B, AIS guidancetracking mode Specific target identification tracking, motion target tracking, guidance tracking, manual trackingtarget identification support for more than 80 kinds of classified targets such as drones, people, cars, boats, etc. classification identification, similarity judgment, etc.pre-warning linkage Alarm protocol uploading, capture Alarm protocol upload, capture, preset position linkageFigureimageandsystemsystem video compression format H.256 / H.264 / MJPEG (limited to picture capture)video protocol ONVIF, GB T-28181, RTSPnetwork protocols IPv4, TCP/IP, UDP, etc.network function system remote upgrade, virtual dual IP addressdiagnostic monitoring IP conflict detection, heartbeat detection, logging general specificationFan interface    Standard air-plug interface (including: DC48V power supply, 10M/100M adaptive network interface)Protection level IP66, optional triple-proofOperating temperature/humidity -40℃~+60℃, humid

Integration System for Anti Drone Usage

Each type of detection means can solve some situation drone defense usage. So integration is a must for important security usage. To achieve a comprehensive anti-drone defense system, it is essential to combine various detection technologies, such as radar, radio frequency (RF) detection, electro-optical sensors, and acoustic sensors. Each of these technologies offers unique advantages that can complement one another. For instance, radar systems excel in detecting larger drones at considerable distances, while RF detection can identify the control signals between the drone and its operator, providing insights into the drone's operational patterns. Electro-optical sensors, on the other hand, can provide high-resolution imagery to visually confirm the presence of a drone, allowing for accurate threat assessment. By integrating these technologies into a unified platform, operators can leverage real-time data from multiple sources, enhancing situational awareness and response capabilities. Moreover, advanced algorithms and machine learning techniques can be employed to analyze the collected data, enabling the system to differentiate between benign and hostile drones effectively. This integration not only improves detection accuracy but also reduces the likelihood of false alarms, which can lead to unnecessary resource allocation. Ultimately, a well-coordinated anti-drone system can provide a robust layer of security for sensitive areas such as airports, military installations, and public events, ensuring that potential threats are identified and neutralized swiftly and efficiently.

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