Commercial Detection Systems

RoarkSJ Series

The RoarkSJ Series device offers both man portable and sentry modes, 8-15KM detection range on 433. 800.900.1.4 .2.4 5.2 5.8 .Wifi Bands & 3KM jamming range on 900.1.5 2.4 5.2 5.8 bands.

Size: Length 410mm, Width 330mm, Height 190mm excluding antenna

Weight: 14KG

Power Supply: 220V AC, can be connected by fixed power supply or UPS.

Voltage: AC100V～240V

Consumption: 15W

Detection Range: Up to 10KM depending on location.

The device can detect DJI (including Mavic 3, Mavic 2, Mavic Mini2, Mavic Air, Mavic Air2, Mavic miniSE, Mavic Pro, Mavic Air2S, Mavic mini, Phantom 4Pro, Phantom 4ProV2.0,Genie 4, Tello and other models), Autel, Xiaomi, Dahua, Hikivision,FUTABA, Hubson, EHang, Yuneec, Zerodu, Weili, Zhendi, Huakor, Sima, Cornerstone, Yunke, Chasing Cloud, Pudu, Holystone, AEE, Feipai, Youdi, Pegasus, Keweitai, Dagong, Corbett, UAV signals from JOUAV, Parrot, 3DR, CFLY,
TW and other brands

With positioning function, it can display the working frequency band, brand number, electronic fingerprint ID (serial number of the fuselage), bearing, distance, latitude and longitude , flight altitude and other information of the drone in the detection list, and it can display identification icons and flight tracks (adsb) on the Plexus overlay.

With the remote control (pilot) detection and positioning function, the remote control can be displayed in the detection list. (Pilot) latitude and longitude , distance, bearings and other information, and can display identification icons and movement tracks on Plexus.

Detects over 20 drones simultaneously from over 10 different brands

RoarkDF Series

Suitcase based design variant performing the same functionality as the SJ Series without the jamming element.

Performance parameters

Detection frequency band: 900MHz, 1.4GHz, 2.4GHz, 5.2GHz, 5.8GHz (expandable and customizable)

Detection distance: From 0km-15KM Depending on location

Detection quantity: ≥20 times (simultaneously)

Number of tracks: ≥10 times (simultaneously)

Power supply: built-in lithium battery or AC input

Battery life: ≥12 hours (full power)

Equipment size: 470mm*357mm*176mm (±2mm)

Working temperature: -40℃~65℃

Equipment weight: <13kg

Protection level: IP66 (closed state)

Roark Handheld Series

The system is developed based on CRPC+ message-level protocol parsing technology and is equipped with a comprehensive UAV command and control platform. It can conduct real-time monitoring and early warning of UAVs within the detection range, and accurately display the target UAV’s fuselage serial number, model, location, speed, altitude, track, remote control location and other information.

Performance parameters

Detection frequency band: 2.4GHz, 5.8GHz

Detection radius: 0~3km

Positioning accuracy: ≤2m (RMS)

Detection quantity: ≥10 times (simultaneously)

Number of tracks: ≥10 times (simultaneously)

Motion detection: moving speed ≥ 60km/h

Battery life: ≥4h

Equipment size: 173mm*90mm*56mm (±2mm)

Working temperature: -25°C~50°C

RoarkDS Range

Offers full detection, tracking and monitoring services alongside integrated spoofing for covert detection and disruption services.

Performance parameters

Detection frequency band: 30MHz~6GHz

Key frequency bands: 400MHZ, 800MHZ, 900MHZ, 1.4GHZ, 2.4GHz, 5.2GHz, 5.8GHz (customizable)

Detection radius: 0~15km

Spoofing Range: 3KM

Detection range: 360° full airspace

Direction finding accuracy: 3°(RMS)

Transmitting frequency band: GPS-L1, GLONASS-L1 (BDS-B1/Galileo-E1/L2 optional)

Transmitting power: <10mW

Control radius: 500m~1000m (customizable)

Working temperature: -40℃~70℃

Protection level: IP66

Visual Detection

The Roark VisDec is a dual use portable/sentry photoelectric tracker unit. The VisDec provides visual detection, tracking and identification in both visible and infrared spectrum. The embedded AI unit running our Plexus intelligential system enables highly accurate classification for automated onward action as well as recording for evidential/training purposes.

The Roark VisDec is built on a 360 degree servo turntable platform enabling high dynamic response.

Technical Specification

Visible Light Imaging

Image Resolution: 1920*1080 @25fps

Lens Focal Length: F16.8~269mm（16X optical continuous zoom）

Optical Characteristics: Color, Black and white, Optical fog penetration

Image Adjustment: White balance, Wide dynamic, Gain control

Video Parameters: Brightness, Contrast ratio, Sharpness, Saturation

Focus Mode: Auto/Manual

Performance Index (max): Detection imaging：≥1.6KM；Tacking：≥1.4KM；Identification：≥1.2KM (Reference target: 0.35m*0.35m UAV, visibility ≥ 10km, temperature ≤ 20 C °, humidity ≤ 40%)

Thermal Imaging

Detection Device Type: Uncooled vanadium oxide detector

Thermal Image Resolution: 640x512；Encoding Resolution：1280x1024

Lens Focal Length: 75mm

Optical Characteristics: Thermal image black, Thermal image white, Colorize

Performance Index (max): Detection imaging：≥1KM； Tracking：≥0.8KM；Identification：≥0.6KM reference target: 0.35m*0.35m UAV, visibility ≥ 10km, temperature ≤ 20 C °, humidity ≤ 40%)

Servo Turntable

Turntable Type: Servo direct drive, PID feedback

Horizontal Range: 0°~360° Horizontal Key Control Speed：0.1°~80°/s

Vertical Range: -90°~+90° Vertical Key Control Speed：0.1°~60°/s

Angle Deflection Correction: Electronic compensation

Preset Position Accuracy: ±0.05°

Applications and Capabilities

Video Compression Format: H.256 / H.264 / MJPEG（Limited picture capture）

Intelligent guidance: It can receive radar guidance, spectrum guidance, TDOA guidance and multi-point photoelectric positioning guidance

Intelligent search: Full screen moving target search, hot target tracking search

Intelligent tracking: Specific target recognition and tracking, moving target tracking, guidance tracking, manual tracking

Intelligent Recognition: Other than UAV(drones), humans, cars, boats, birds, and animals, there are more than 80 categories of targets.

Network Protocol: IPv4, TCP/IP, UDP, HTTP, DHCP, RTP/RTCP, FTP, UPnP, DDNS, NTP

General Specifications

Protection Class: IP66, Optional: Three-Proof design

Working Temperature/Humidity: -35℃～+60℃（-55℃～+70℃），Humidity<90%

Power Supply & Consumption: AC220V ± 15% (photoelectric system) Normal operation ≤ 20W, starting peak ≤ 30W

Dimensions: 352mm(W) ×245(L)×275mm(H)

Weight: ≤9KG

Features

Full Automatic Zoom and Focus: Fully automatic zoom and focus with integrated optical defogging and servo tracking.
Visible and Thermal Imaging Combination:Visible light and thermal imaging combination with multi-channel imaging and data fusion.
Edge Computing and Target Recognition:Built-in algorithms for recognizing over 80 categories of targets including humans, vehicles, ships, etc. Supports specific target detection and identification.
Thermal Source Detection and Tracking: Integrated detection, tracking, warning, and alarm for thermal sources.Links with visible light imaging for zoomed-in views and snapshots.
Wide Range Design:Horizontal rotation of 0-360° and vertical rotation of -90° to +90°, suitable for close-range target detection and tracking.
Accurate Azimuth and Field of View Feedback:Precise azimuth and field of view feedback for physical positioning of moving targets like drones, vehicles, and ships.

FPV Only

Consider a scenario where an unauthorized FPV drone attempting to access the restricted airspace. When the drone operates, a bi-directional connection is established between the drone and its controller. The downlink channel is a video stream sent by the drone to the controller, while the uplink channel carries control commands sent from the controller to the drone. Let’s assume that both channels are encrypted and the drone’s controller is out of the monitoring station’s detection range.

Traditional Detection for FPV

The control channel carries flight commands from the controller to the drone. Overall, the control channel comprises of two different network flows, periodic control packets and heartbeats packets. In case of controllers that receive a video stream over TCP, a flow of acknowledgments (ACKs) will be sent out back to the drone as well. Note that even if ACKs are encrypted, they can be easily identified by the packet size (20 bytes TCP header without options + 20 bytes IP header without payload). Some control applications embed heartbeat messages within the stream of periodic control packets. Both streams (heartbeats and control packets) have rather unique sizes and inter-arrival times. Therefore, a simple detection scheme can easily differentiate between the controller’s traffic and other background traffic.

The issue however comes when the drone controller is not present within the range of the detection system and their traffic cannot be captured and classified. Since the wireless channel is assumed to be encrypted, the standard detection methodology cannot identify drone FPV channels by simply inspecting the content of the intercepted packets. Therefore, the traffic profile of an FPV transmission must be identified based on understanding how video encoding and compression algorithms affect the network traffic pattern of a video streaming application.

A drone’s FPV channel is considered a channel of a video streaming application that transports compressed video frames from the drone to the controller. A video is a stream or a sequence of still pictures. In order to decrease the portion of channel capacity used to transport the video over wireless channels, almost all video encoders include a video compression algorithm.

Roark FPV Detection

Our FPV specific detection which is based on the concept of a pivot; a special packet found in the drone’s FPV traffic which will be utilized as an anchor for building drone features. The Drone Detection Framework is the composition of two main components: a Pivot Extraction Algorithm and a Classification Model . In short, the Pivot Extraction Algorithm takes a sequence of encrypted packets as an input, tracks the packets that belong to video frames based on the video compression analysis, extracts pivot fingerprints, and estimates the size of the pivot packet for each encountered WiFi device. The engine of the Classification Model uses the pivot size to construct a set of FPV features and feeds it to a binary classifier which outputs “YES” if the packets belong to an FPV drone and “NO” otherwise.

Bi-directional RSSI recording is used to accurately predict the drones proximity to the sensor.

Device

Intel 12 Core i7 12700KF Alder Lake CPU/Processor

MSI Z790-A MAX WiFi (DDR5)

Ubiquiti airMAX Bullet AC

Ubiquiti AMO-5G10 airMAX Outdoor 5GHz 10dBi Omni-Directional Antenna

PoE

Supports IP interface access from remote

IP67 Rated Casing

Roark Detection Framework is in-built

Acoustic Detection

The Roark Acoustic detection sensor is an acoustic array that passively detects and tracks class I and II drones using advanced machine learning algorithms. The device has 5 sensor panels, each sensor covers up to a 120-degree field of view, looking for acoustic changes within a network of constantly monitored sectors. Change in any acoustic sector triggers high-resolution acoustic beams that collect the sound of that change. The system then analyzes this information, classifies drones and is able to separate them from any other sounds in the area. As the system is trained on the propeller sound, it will recognize any drone, both current and future fixed and rotary wing systems. Equally important, the algorithm will suppress sound that is not a target and provide close to zero false positives.

Operation and user interface is provided either on a browser enabled network connected device, or through machine-to-machine API interface. Upon positive classification of a drone, the alarm, along with precise bearing to target, is forwarded to the operator screen or to the API-connected system.

Specifications:

Packed Size: 17cm H, 18cm W, 7cm D

Extended Size: 20cm H, 35cm W, 7cm D

Weight: 900g

Power: Rechargeable Li-on or power bank

Connectivity: WiFi, SATCOM, Starlink (Extension)