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The DS063pro High-Speed AI Video Tracking Board is a cutting-edge AI video tracking board from DADA. It tackles the most demanding real-time target tracking scenarios. Traditional tracking algorithms often fail when targets move rapidly or change size dramatically. For instance, during UAV target tracking pursuits, performance can degrade quickly. Similarly, high-speed vehicle tracking poses significant challenges. With next-gen AI algorithms, this high-speed tracking board achieves exceptional stability and precision. End-to-End AI Tracking on the DS063pro AI Video Tracking Board Unlike conventional methods, the DS063pro employs a pure AI video tracking board framework driven by end-to-end deep learning. This approach delivers robust anti-deformation capability, ensuring that even fast-moving aerial targets remain locked on steadily. Moreover, as demonstrated in the following video, the AI model continuously adapts to shape and scale changes without drifting. Real-Time Target Detection and Multi-Target Tracking The AI video tracking board supports real-time target detection at 25Hz recognition frame rate, with tracking frame rates up to 120Hz. Its multi-target tracking capability handles up to 64 simultaneous targets, ideal for complex dynamic environments. Furthermore, the board reliably outputs target type, position, size, and miss-distance information. This data supports UAV target tracking and intelligent gimbal system integration. Flexible AI Model Deployment and Rich I/O Developers can leverage the SpeedDP platform for custom AI model deployment, training and deploying project-specific detectors in one click. The board features dual-channel video input, supporting visible and IR sources, as well as RTSP streaming via 100M Ethernet. Furthermore, it includes electronic zoom, OSD overlay, and comprehensive serial interfaces. Additionally, with a compact 55mm×40mm footprint and <6W power draw, this high-speed tracking board fits seamlessly into embedded surveillance equipment. Moreover, it integrates well with intelligent gimbal systems and dual-sensor vision systems. Broad Application Spectrum In addition, the DS063pro AI video tracking board excels across UAV target tracking, vehicle tracking, and EO/IR gimbal payloads. It delivers real-time target intelligence wherever it matters. Its rugged design operates from -20°C to +60°C, ensuring reliability in field conditions. Explore the product page to begin your AI model deployment and integration.

DAI640Pro Uncooled Infrared Thermal Imaging Module – Ultra-Compact Thermal Imaging Module for UAV PayloadsThe DAI640Pro uncooled infrared thermal imaging module redefines what is possible in miniaturized thermal sensing. Weighing merely 9.1 grams and measuring just 20×20×14 mm, this shutterless thermal module offers a high‑resolution 640×480 thermal sensor with a 12 μm pixel pitch, delivering remarkable image clarity. Moreover, its ultra‑low power consumption of less than 1 W ensures extended operational time for battery‑powered devices. As a result, system integrators can develop compact infrared cameras and UAV thermal payloads without sacrificing performance. The module features advanced shutterless technology, eliminating the mechanical shutter and achieving a rapid startup under 7 seconds. Additionally, a wide range of interchangeable lenses and flexible digital interfaces make it an ideal low power thermal imager for portable and miniaturized applications.Key Features of the DAI640Pro Thermal Imaging ModuleThis uncooled infrared module integrates a 640×480 thermal sensor with exceptional sensitivity – NETD ≤40 mK – providing crisp thermography even in challenging conditions. Furthermore, the shutterless thermal module eliminates the need for a mechanical shutter, improving reliability and enabling silent, instant operation. The device draws under 1 W, making it a genuinely low power thermal imager suitable for handheld tools and drone integration. It also supports versatile image adjustments, including multiple polarity modes, 1‑8× digital zoom, and manual brightness control. For instance, users can select black hot, white hot, or pseudo‑color palettes for optimal scene interpretation. Consequently, the module adapts effortlessly to industrial inspection, security surveillance, and firefighting applications. The compact infrared camera form factor, coupled with rugged environmental protection, ensures dependable performance from -40°C to +60°C.UAV Thermal Payload: Compact Infrared Camera for DronesThe DAI640Pro’s minimal weight and footprint make it the perfect compact infrared camera for UAV thermal payloads. When integrated into a drone, this low power thermal imager extends flight time while preserving high‑resolution imagery. Additionally, the shutterless thermal module starts almost instantly, enabling fast deployment during search and rescue or infrastructure inspections. Combined with an AI image processing board, it can perform real‑time object detection and tracking, empowering autonomous missions. As a result, operators gain a dependable 640×480 thermal sensor that delivers actionable thermal data without adding excessive payload. The following video demonstrates a typical UAV pod integration with the DAI640Pro and an AI processing board, illustrating seamless target recognition.Related linkswebsitehttps://uavauto.comproduct-linkhttps://uavauto.com/product/dai640pro-uncooled-infrared-thermal-imaging-module/Phone+86 13602546081 (Mr. Wang)Emailkuiwong@hkdada.com

DS071 Compact AI Video Tracking Board – Real-Time Drone Intercept SolutionThe rapid proliferation of low‑cost “aerial motorcycles” and small kamikaze drones has exposed a critical gap in modern air defense: traditional high‑end interceptors are economically unsustainable for neutralizing cheap, mass‑produced threats. To address this escalating asymmetric challenge, engineers are turning to equally affordable countermeasures – small, rocket‑powered interceptor drones that can autonomously lock onto and destroy incoming targets. At the heart of this new strategy lies the DS071 Compact AI Video Tracking Board, a purpose‑built embedded AI vision module that delivers precise real‑time target detection, recognition, and tracking in an ultra‑lightweight form factor. Powered by the RV1126B AI vision processor with a 3TOPS NPU, this board fuses a high‑frame‑rate global shutter camera with a suite of advanced tracking algorithms to instantly identify and follow threats such as fixed‑wing drones, quadcopters, and even small boats or vehicles. Unlike general‑purpose computing platforms, the DS071 is engineered for mission‑critical UAV payload integration, intelligent gimbal systems, and compact embedded AI vision equipment where every gram counts. Its ability to output miss‑distance data directly to a flight controller closes the loop between detection and interception, enabling low‑cost rocket drones to execute high‑speed autonomous engagements. As the demand for scalable counter‑UAS solutions grows, this AI video tracking board redefines what is possible on small, power‑constrained aerial platforms.DS071 Compact AI Video Tracking Board: Lightweight and Low‑Power ArchitectureSize and weight are non‑negotiable when integrating an AI module into a rocket‑propelled interceptor drone. The DS071 meets these strict requirements with a bare‑board footprint of just 43mm × 38mm and a weight of only 20.1 ± 5 grams – substantially lighter than many conventional vision processors. This compact AI tracking form factor allows it to slip into even the most space‑constrained airframes, leaving maximum room for propulsion and payload. Power consumption stays under 4 watts, ensuring the module adds negligible drain to the drone’s battery. Consequently, the drone retains its full sprint range and endurance while gaining onboard intelligence. The board runs on a standard 12V DC supply (±2V) and interfaces via a 100M Ethernet port, RS422, UART, and USB 3.0, making integration straightforward. Moreover, the board’s fanless, low‑thermal design operates reliably over a wide temperature range from -20°C to +60°C, which is ideal for high‑altitude daytime flights or rapid mission turnarounds. These attributes make the DS071 not only a UAV payload tracking engine but also a rugged embedded AI vision building block for fixed‑wing drones, multi‑rotors, and small gimbal payloads.Watch the DS071 detecting low‑cost “aerial motorcycles” in real time:Real‑Time Target Tracking and AI Detection CapabilitiesThe DS071 excels at real‑time target tracking, delivering a 120Hz tracking frame rate and ≤1‑pixel tracking accuracy on every cycle. Its AI recognition pipeline, running at 25Hz, can detect and classify people, vehicles, boats, aircraft, and drones even when targets are as small as 20×20 pixels. The module supports multiple detection and tracking modes – centroid, correlation, multi‑target, and intelligent tracking – as well as moving‑target detection, template matching, and centroid search. This versatility makes it equally effective for drone detection tracking against fast‑maneuvering aerial threats and for intelligent gimbal tracking in EO/IR surveillance payloads. Once a target is locked, the board continuously outputs miss‑distance relative to the image center, enabling the flight controller to generate real‑time guidance commands. With support for both visible‑light and infrared single‑ or dual‑channel input, users can switch between sensors on the fly. Video is encoded in H.264 or H.265 and streamed via RTSP, UDP, or RTMP, while a rich OSD overlay embeds crosshairs, tracking information, compass data, and system status directly onto the video feed. The system’s maximum track count of ≤64 targets and tracking speed of ≥64 pixels per frame guarantee that even swarming threats are not overlooked. Below, witness the full intercept sequence in an actual counter‑UAS test:Related linkswebsitehttps://uavauto.comproduct-linkhttps://uavauto.com/product/ds071-compact-ai-video-tracking-board/Phone+86 13602546081 (Mr. Wang)Emailkuiwong@hkdada.com

FalconLock DS240 & DS120 Ultra-Low Latency UAV Visual Guidance System: FPGA-Powered Precision TrackingWhen milliseconds define mission success, the FalconLock DS240 and DS120 ultra-low latency UAV visual guidance system sets a new benchmark for real-time target detection and tracking. Traditional visual processing solutions relying on CPU or GPU architectures often suffer from latencies exceeding 100ms, introducing critical delays that compromise high-speed UAV interception and autonomous flight. The FalconLock series overcomes these limitations with an FPGA-based parallel pipeline architecture, achieving an imaging delay of approximately 0ms and a target locking response as low as ≤4ms. This breakthrough represents up to a 96% reduction in latency compared to conventional systems, empowering drones with split-second reaction capabilities. Designed for FPV drones, compound-wing UAVs, and multi-category unmanned aircraft platforms, the FalconLock DS240 & DS120 provides robust UAV visual guidance for missions demanding high-speed target tracking up to 400km/h. By accelerating video capture, image pre-processing, encoding, and transmission through dedicated hardware pipelines, the module eliminates jitter and lag, ensuring that visual feedback remains perfectly synchronized with the flight control loop. The integration of an Unscented Kalman Filter and proportional navigation algorithm further enhances guidance accuracy, delivering a CEP circular error probable of ≤0.15m. This exceptional precision makes the system suitable for ground-to-air, surface-to-air, and air-to-air applications where every frame and every millisecond matter. Whether you are developing an autonomous FPV drone guidance solution or a long-range UAV platform requiring instant target locking, the FalconLock DS240 & DS120 ultra-low latency UAV visual guidance system provides the performance edge needed to stay ahead. The system’s dual model configuration adds flexibility: DS240 offers 1280×1024 resolution at 240Hz for high-frame-rate ground-to-air scenarios, while DS120 delivers 1920×1080 at 120Hz for high-resolution surface-to-air and air-to-air tracking. Moreover, the FalconLock is natively compatible with mainstream flight-control ecosystems including MAVLink, ArduPilot, PX4, INAV, BetaFlight, QGroundControl, and Mission Planner, making integration straightforward for developers.Real-World Demonstration: Seamless Target TrackingInside the Ultra-Low Latency UAV Visual Guidance System: FPGA Hardware AccelerationThe core advantage of the FalconLock DS240 & DS120 lies in its FPGA hardware acceleration architecture. Unlike conventional CPU/GPU pipelines that process frames sequentially and introduce substantial buffering, the FPGA performs video capture, image pre-processing, encoding, and transmission in parallel. Consequently, imaging delay drops to approximately 0ms, and target locking delay remains ≤4ms from video loopback to confirmed lock. In practice, this yields up to a 96% reduction in latency versus typical 100ms+ solutions. Such immediate visual feedback is essential for high-speed target tracking; the system reliably tracks objects moving at speeds up to 400km/h. Furthermore, the FPGA’s deterministic processing eliminates frame drops and timing jitter, maintaining consistent performance even under heavy computational load. Because the hardware pipeline handles all critical tasks independently, the host autopilot can focus entirely on navigation and control, reducing overall system complexity. Notably, the dual model variants cater to different mission profiles: the DS240 provides 240Hz high-frame-rate imaging for fast ground-to-air scenarios, while the DS120 offers 120Hz full-HD resolution for detailed surface-to-air and air-to-air tracking. This flexibility ensures that operators can choose the right balance between frame rate and resolution without compromising the ultra-low latency performance that defines the FalconLock platform.Precision Guidance Algorithm and Multi-Platform CompatibilityBeyond raw speed, the FalconLock DS240 & DS120 integrates a guidance algorithm based on an Unscented Kalman Filter and proportional navigation. This combination predicts target movement in real time and continuously adjusts the UAV’s flight vector, achieving a CEP circular error probable of ≤0.15m under supported conditions. Such precision is critical for autonomous FPV drone guidance where small errors can mean the difference between a successful lock and a complete miss. Moreover, the system has been engineered for broad compatibility. It supports a wide range of unmanned aircraft platforms including FPV drones, quadcopters, and compound-wing UAVs, and it works seamlessly with mainstream flight-control ecosystems such as MAVLink, ArduPilot, PX4, INAV, BetaFlight, QGroundControl, and Mission Planner. Therefore, integrating the FalconLock into an existing drone platform requires minimal adaptation. In addition, the module’s universal design and lightweight implementation allow it to be used in both dedicated interception drones and multi-mission surveillance aircraft. For developers looking to upgrade high-speed target tracking capabilities, the FalconLock DS240 & DS120 offers a ready-to-integrate visual guidance solution that combines FPGA acceleration, a refined guidance algorithm, and multi-platform flexibility.Related linkswebsitehttps://uavauto.comproduct-linkhttps://uavauto.com/product/falconlock-ds240-ds120-ultra-low-latency-uav-visual-guidance-system/Phone+86 13602546081 (Mr. Wang)Emailkuiwong@hkdada.com

DA063HS Video Tracking Board: AI-Powered Multi-Algorithm Tracking for UAV Payloads and Border SecurityEffective border and coastal defense are critical to national sovereignty, and the rapid evolution of unmanned aerial vehicles (UAVs) has introduced new capabilities for persistent surveillance. By equipping UAVs with high-resolution optoelectronic pods and advanced video tracking boards, security forces can monitor vast, inaccessible areas, automatically detect intruders, and relay real-time intelligence to command centers. The DA063HS video tracking board emerges as a powerful solution for these demanding applications, combining the Rockchip RK3588S NPU with ~6 TOPS of dedicated processing power to deliver robust AI recognition tracking and multi-algorithm tracking in a compact, low power tracking module. Designed for airborne pods, electronic sentries, border and coastal defense, and intelligent perimeter systems, the DA063HS supports a wide range of video tracking tasks. Its proprietary tiny target tracking algorithms enable centroid tracking down to 2×2 pixels and correlation tracking down to 8×8 pixels, while simultaneously handling up to 64 concurrent targets. This tiny target tracking ability ensures reliable lock on small or distant objects, such as unauthorized personnel or vehicles, even in cluttered environments. Additionally, the integrated NPU accelerates AI recognition tracking at 25 Hz, with VisDrone mAP of approximately 0.616, enabling accurate identification of people, cars, and other threats. The low power tracking module consumes less than 6 W on average, making it ideal for long-endurance UAV missions and remote sentry stations with limited power budgets. Engineers will appreciate the comprehensive I/O suite, which includes MIPI and CVBS video inputs, RTSP network output, RS422, UART, USB2.0, and 100M Ethernet. The onboard storage can hold ≥2 hours of recording at 4 Mbps, facilitating post-mission analysis. Moreover, the board supports secondary development with an SDK and test host, allowing integrators to deploy custom AI models and tailor tracking algorithms to their specific use cases.Key Features of the DA063HS Video Tracking BoardThe DA063HS video tracking board packs advanced multi-algorithm tracking capabilities, enabling it to follow targets reliably in challenging scenarios. Its centroid and correlation trackers work alongside a fusion AI recognition tracker, providing robustness against occlusions and varying lighting conditions. The DA063HS video tracking board’s hallmark tiny target tracking can lock onto objects as small as 2×2 pixels for centroid mode and 8×8 pixels for correlation mode, with an accuracy of ≤1 pixel. Furthermore, the tiny target tracking feature is essential for border defense, capturing even the smallest intruder. In addition, up to 64 concurrent targets can be monitored, making the DA063HS ideal for crowded scenes with multiple threats. Hardware-wise, the onboard RK3588S NPU delivers ~6 TOPS of processing power, accelerating deep learning inference for AI recognition tracking at 25 Hz. The low power tracking module consumes less than 6 W typical, allowing extended operation on battery-powered UAVs and remote outposts without active cooling. Consequently, the DA063HS handles extreme field conditions reliably. Other engineering conveniences include on-screen display (OSD) for time, coordinates, and platform attitude, multi-channel picture-in-picture, electronic zoom up to 16× in 0.1× steps, and local recording capabilities. Supported by a comprehensive SDK and test host, the DA063HS greatly streamlines the development of customized tracking solutions.Applications and Integration SupportDesigned for demanding surveillance scenarios, the DA063HS video tracking board is ideally suited for airborne optoelectronic pods, electronic sentries, border and coastal defense, and industrial traffic monitoring. Leveraging multi-algorithm tracking, the board excels in environments with rapidly changing backgrounds and intermittent target visibility. Its tiny target tracking capability ensures that no small intruder goes unnoticed, while AI recognition tracking enables automatic threat classification and prioritization. The low power tracking module significantly reduces power requirements for fixed sentries and extends UAV mission endurance. With compact dimensions (≈55×40 mm) and a wide operating temperature range (-20°C to +60°C), the DA063HS video tracking board can be deployed in harsh environments, from desert frontiers to coastal installations. Furthermore, the RK3588S NPU accelerates real-time AI processing for responsive tracking. To accelerate project timelines, the DA063HS provides a full SDK, a test host application, and dedicated technical support, allowing developers to perform secondary development and integrate proprietary AI models. For organizations seeking to strengthen border defense with intelligent surveillance, the DA063HS video tracking board offers a reliable, high‑performance foundation.Related linkswebsitehttps://uavauto.comproduct-linkhttps://uavauto.com/product/da063hs-video-tracking-board/Phone+86 13602546081 (Mr. Wang)Emailkuiwong@hkdada.com

Counter-Drone Precision: How the DAF2 UAV Visual Guidance System Delivers Lightning-Fast Tracking The rise of unauthorized drone activity poses significant threats to aviation safety and national security. Recent incidents, including high-profile cases near critical infrastructure, underscore the urgent need for robust counter-drone capabilities. When a rogue drone is detected, response speed and accuracy are paramount. The DAF2 UAV visual guidance system addresses this challenge head-on. Moreover, it integrates a colorless Kalman filter terminal guidance law with a low-latency target tracking algorithm, all accelerated by a high-performance FPGA. In addition, this visual guidance system achieves microsecond-level target locking and provides real-time flight vector adjustments via a proportional navigation algorithm. As a result, the system delivers precision strike capabilities. Its CEP is ≤0.3 meters, even against fast-moving targets. Furthermore, its lightweight 18g core module and ≤2W power consumption enable seamless integration into small tactical drones. The DAF2 comes in three variants: DAF2 A, DAF2 HD, and DAF2 DU. The DU model adds infrared guidance for dual-spectrum day/night operations. By leveraging FPGA acceleration and advanced Kalman filter algorithms, the DAF2 UAV visual guidance system ensures reliable, low-latency tracking of unauthorized UAVs. This makes it essential for modern defense and security forces. Advanced Algorithms and FPGA Acceleration: The Core of DAF2 Performance The DAF2 UAV visual guidance system stands out. It uniquely combines a colorless Kalman filter, low-latency target tracking, and proportional navigation algorithms. These algorithms work in concert to predict target positions with high accuracy, even during high-speed maneuvers. However, the system’s FPGA hardware-acceleration architecture is the true differentiator. Unlike traditional CPU or GPU-based solutions that suffer from processing bottlenecks, the FPGA executes parallel video pipelines. This achieves 0ms picture delay and a locking delay of just ≤5ms. That represents a 90% improvement over conventional platforms. Moreover, the FPGA’s clock-driven parallel pipeline eliminates software crash risks, ensuring ultra-high reliability even under extreme conditions. Consequently, the DAF2 operates flawlessly in temperatures ranging from -40°C to 60°C and meets EMC Level 4 standards. With a core module weighing only 18g and consuming ≤2W, it reduces SWaP by 85% compared to GPU solutions. That makes it ideal for lightweight tactical drones. This fusion of low-latency tracking and FPGA acceleration ensures precise target locking. The DAF2 can lock onto targets as small as 5×5 pixels. Then it maintains pursuit at speeds up to 90 km/h, delivering precision strike accuracy. Indeed, FPGA acceleration is the cornerstone of its speed advantage. DAF2 UAV Visual Guidance System Variants: Infrared Guidance and High-Speed Tracking The DAF2 UAV visual guidance system is available in three models. These are DAF2 A, DAF2 HD, and DAF2 DU, each optimized for different requirements. The DAF2 A offers a vehicle locking distance of 300m and a resolution of 720×576. This makes it suitable for close-range missions. Meanwhile, the DAF2 HD extends vehicle locking distance to 800m. It features 2560×1440 resolution and a 66°×40° field of view, providing exceptional situational awareness. The DAF2 DU variant adds an infrared camera with a 13mm focal length. This enables infrared guidance for nighttime and low-visibility conditions. The infrared guidance capability extends operational effectiveness to 24/7 surveillance. It locks onto vehicles at 800m (visible) and 500m (infrared). Additionally, all models share critical features. These include ≤5ms latency, support for CRSF/SBus/MavLinkv2 protocols, and compatibility with BetaFlight, INVA, APM, and PX4 firmware. Notably, they operate with or without external positioning information, offering flexibility in GNSS-denied environments. With a minimum tracking size of 5×5 pixels, the DAF2 series captures even the smallest targets. Its 90 km/h speed capability ensures robust precision strike performance across counter-drone and surveillance missions. Finally, low-latency tracking across all DAF2 models ensures that even at 90 km/h, the system never loses lock. Related links website https://uavauto.com product-link https://uavauto.com/product/daf2-uav-visual-guidance-system/ Phone +86 13602546081 (Mr. Wang) Email kuiwong@hkdada.com

Trac-DA034L Video Tracking Board: AI-Powered Multi-Target Tracking for Real-Time SurveillanceAs drone proliferation accelerates across military and civilian domains, the need for reliable, real-time surveillance has never been more critical. The Trac-DA034L video tracking board offers a powerful solution by combining advanced AI target detection with robust multi-target tracking algorithms. Moreover, this low-power video tracking module is engineered to deliver precise, real-time video analysis in a remarkably compact package. Whether deployed on an airborne UAV pod or integrated into a stationary perimeter defense system, the board continuously tracks multiple objects with minimal latency. Its integrated SDI and CVBS video inputs ensure straightforward connection to existing cameras. Meanwhile, the gigabit Ethernet interface supports RTSP streaming for remote monitoring. Furthermore, with power consumption below 4W and a weight of just over 28 grams, the Trac-DA034L video tracking board is perfectly suited for battery-operated mobile platforms where every watt and gram counts. Consequently, this AI tracking module empowers security teams to respond swiftly and accurately to emerging threats.Trac-DA034L Video Tracking Board: AI-Powered Multi-Target TrackingThe Trac-DA034L video tracking board employs sophisticated AI algorithms to detect and follow multiple targets simultaneously. Specifically, its centroid and correlation tracking methods maintain a stable lock even when objects change direction abruptly. As a result, this real-time surveillance tool excels in challenging applications such as border security and anti-drone operations. In addition, the board overlays tracking markers on the incoming video and outputs the annotated stream via RTSP for remote operators. Notably, the AI target detection model has been fine-tuned for small object recognition, making it especially effective against low-observable threats like rogue drones. The board also includes built-in memory options of 8GB or 16GB, enabling local storage of essential tracking data. Consequently, the Trac-DA034L video tracking board delivers a complete, all-in-one package for mission-critical intelligence. Finally, its lightweight 28.2‑gram construction allows easy integration into tight spaces.Trac-DA034L Video Tracking Board: Compact, Low-Power Design and SpecificationsWeighing only 28.2 grams and measuring 60mm × 45mm, the Trac-DA034L video tracking board is purpose‑built for space‑constrained environments. Its operating voltage of 12V DC ±2V and sub‑4W power consumption guarantee efficient performance without excessive heat generation. Additionally, the board provides multiple serial interfaces—RS422, RS232, and TTL—for seamless communication with onboard systems. Moreover, the integrated Gigabit Ethernet port supports high‑bandwidth RTSP streaming, which enables real‑time remote surveillance. For video input, users can connect one SDI (3G‑SDI/HD‑SDI) and one CVBS (PAL) source, offering flexible camera compatibility. Furthermore, storage choices of 8GB or 16GB ensure ample space for recorded tracking data. This low power video tracking solution is a natural fit for UAV pods, mobile monitoring units, and perimeter defense networks. In UAV applications, the Trac-DA034L video tracking board serves as the core intelligence for automated target following, allowing drones to autonomously engage or avoid threats. Consequently, it combines high‑performance AI tracking with an exceptionally small footprint.Related linkswebsitehttps://uavauto.comproduct-linkhttps://uavauto.com/product/trac-da034l-video-tracking-board/Phone+86 13602546081 (Mr. Wang)Emailkuiwong@hkdada.com

ShadowHawk D-A250: The 5-Inch High-Speed FPV Drone with AI Tracking & Thermal ImagingIn modern unmanned aerial warfare and security operations, image-based guidance has become a defining advantage. Attackers use AI-driven recognition for terminal homing; defenders deploy drones to detect and neutralize threats. The ShadowHawk D-A250 high-speed FPV drone brings this cutting-edge technology into a compact, 5-inch drone platform. Equipped with an AI vision module that packs up to 6 TOPS of computing power, this AI tracking drone can identify vehicles at 1,200 meters and humans at 500 meters, even in total darkness using its optional thermal imaging FPV sensor. With dual visible light cameras, it provides both a wide 72° field of view and a 26° telephoto zoom for detailed tracking. Picture-in-picture display keeps pilots fully aware during high-speed manoeuvres. Powered by an FC130 6S brushless motor and 5X2 propellers, the D-A250 achieves blistering speeds of 60 to 100 m/s and reaches altitudes of 5,000 meters. Its 15,000-meter control radius and 8th-level wind resistance make it a true long range FPV drone capable of sustained operations. Moreover, with support for up to 50 simultaneous targets, this dual camera drone excels in complex surveillance missions. The ShadowHawk D-A250 high-speed FPV drone redefines what a 5-inch platform can achieve.AI-Powered Target Tracking with the ShadowHawk D-A250The intelligent core of the ShadowHawk D-A250 high-speed FPV drone lies in its AI tracking capabilities. The module’s 6 TOPS computing power enables advanced features such as crosshair fuzzy lock and short-range auto-snap, which allow automatic target acquisition with pinpoint precision. Dual-algorithm tracking combines trajectory prediction and feature memory, so the drone maintains a lock on fast-moving objects at up to 60 km/h. Beyond following a single target, the system can simultaneously track up to 50 vehicles or persons—an invaluable asset for surveillance. The Ultra Dual variant extends recognition range to 1,200 meters for vehicles and 500 meters for humans, thanks to its dual-camera setup. For all-weather performance, the thermal imaging FPV configuration uses a 384×288 LWIR sensor, detecting heat signatures in total darkness, smoke, or fog. Furthermore, picture-in-picture mode overlays a zoomed tracking view on the wide-angle feed, enhancing situational awareness. Watch the AI-driven detection and strike technology in the demonstration below.Autonomous detection and strike demonstration powered by AI image processing boardThus, the D-A250 empowers pilots with smart, hands-free tracking for both offensive and defensive missions.Extreme Speed, Long Range, and Multi-Sensor VersatilityAlthough AI tracking is a standout, the ShadowHawk D-A250 remains, first and foremost, a high-speed FPV drone for racing and freestyle. Its FC130 6S brushless motor and 65A L32 ESC spin 5X2 paddle blades to deliver breathtaking speeds from 60 to 100 m/s. A 25.2V 1500mAh LiPo battery provides up to 10 minutes of flight, sufficient for aggressive manoeuvres. The aircraft withstands 8th-level winds, so it stays stable even in challenging outdoor conditions. Control range reaches 15,000 meters in open space, using customizable 915 MHz or 2.4 GHz frequencies, with 5.8G 720p video transmission maintaining a clear downlink over the same distance. Consequently, this long range FPV drone excels in extended reconnaissance and patrol missions. For racing enthusiasts, the D-A250 is an exceptional FPV racing drone that dominates competitive circuits. The drone’s versatility shines through its four sensor configurations: the Max+ single visible light camera uses a 4mm lens, while the Ultra Dual Visible system pairs a 3.9mm wide-angle with a 12mm telephoto lens for dual-view operation. When equipped with thermal imaging, the platform transforms into a true thermal imaging FPV solution, perceiving heat contrasts at night. This dual camera drone enables seamless switching between day and night operations. For defensive purposes, the D-A250 can be rapidly deployed to intercept hostile UAVs, as shown in the video below.Drone interception demonstration using video tracking boardAdditionally, open-source BetaFlight, APM, and PX4 firmware compatibility ensures easy integration into existing fleets and customization for research projects.Related linkswebsitehttps://uavauto.comproduct-linkhttps://uavauto.com/product/shadowhawk-d-a250-5-inch-high-speed-fpv-drone/Phone+86 13602546081 (Mr. Wang)Emailkuiwong@hkdada.com

AI Tracking Module DAV3.0: Your Intelligent Drone AI Autopilot for Reliable Autonomous TrackingThe AI Tracking Module DAV3.0 represents the next generation of Drone AI Autopilot technology, engineered to deliver flawless autonomous tracking even in the most challenging conditions. Equipped with a cutting-edge Rockchip processor providing 6.0 TOPS of compute power, this drone tracking module enables high-precision target recognition and instant FPV AI locking. Operators benefit from robust performance despite vibrations caused by drone maneuvering or environmental factors. With dual-spectrum support for both visible light and thermal cameras, the module ensures reliable operation day or night. Our self-developed AI algorithms continuously adapt to maintain stable target lock on vehicles and personnel. Additionally, the module runs specialized AIZD firmware optimized from Betaflight 4.5.1, ensuring seamless integration with popular STM32 F4, F7, and H7 flight controllers. Its lightweight 10g design and multiple interfaces—including CVBS, UART, and CRSF—make it a versatile choice for diverse UAV platforms. In addition, this drone tracking module is equipped with advanced failsafe protection, allowing it to maintain control even when the remote signal is lost, enhancing safety during critical missions. As a result, the AI Tracking Module DAV3.0 is the ultimate solution for professionals demanding cutting-edge target recognition and autonomous tracking capabilities. Discover how this innovative Drone AI Autopilot can revolutionize your UAV operations.AI Tracking Module DAV3.0: Built on a High-Performance Rockchip ArchitectureAt the heart of the AI Tracking Module DAV3.0 lies a flagship Rockchip chipset that delivers an impressive 6.0 TOPS of AI computing power. This Drone AI Autopilot's processing capability enables rapid target recognition and real-time FPV AI locking, even when tracking high-speed vehicles or erratic human motion. The module runs AIZD firmware, a custom optimization based on Betaflight 4.5.1, ensuring compatibility with a wide range of STM32 F405, F7, and H7 series flight controllers. Consequently, integration into existing drone builds is straightforward, reducing setup time. The lightweight construction—only 10 grams—and compact 40mm x 60mm form factor allow installation on virtually any UAV without compromising flight dynamics. Moreover, the design supports multiple interfaces such as CVBS, UART, and CRSF, ensuring seamless data exchange between the drone tracking module and the flight controller. This architecture, combined with the powerful Rockchip engine, forms a solid foundation for stable autonomous tracking. The board also features intelligent power management, operating within a 9-16V DC range and consuming less than 6W, which is ideal for extended missions. In addition, the AI Tracking Module DAV3.0's robust hardware design makes it resistant to electrical noise, a common issue in drone environments. Ultimately, this high-performance foundation empowers users to execute complex autonomous tracking tasks with confidence.Stable Autonomous Tracking Even in Vibrating EnvironmentsOne of the biggest challenges for autonomous tracking is maintaining target lock when the drone experiences vibrations. High winds, sudden maneuvers, or even the drone's own motor oscillations can easily cause target drift or loss. The AI Tracking Module DAV3.0 addresses this head-on through advanced AI stabilization algorithms. Extensive testing has shown that this drone tracking module can sustain reliable target recognition and autonomous tracking under severe vibration conditions. Moreover, the module’s dual-spectrum support ensures effective tracking in low-light and nighttime scenarios. The dual-phase ATK (AI Recognition & Target Tracking) system, featuring Prepare and Locking modes, works in tandem with AI stabilization to filter out jitter and keep the crosshairs locked on the subject. In practical scenarios, the module's FPV AI locking remains steadfast whether you're tracking a car weaving through city traffic or a person running in a forest. Watch the video below to see the module's performance in action.This demonstration highlights the module's ability to detect, recognize, and track both humans and vehicles with remarkable stability. As a result, the Drone AI Autopilot ensures that your drone never loses its focus, even when external factors try to disrupt the tracking. Consequently, operators can rely on the AI Tracking Module DAV3.0 for critical missions like surveillance, search and rescue, and automated aerial photography.Seamless Dual-Spectrum Support and Advanced ConnectivityFor all-weather operations, the AI Tracking Module DAV3.0 supports dual-spectrum cameras: visible light for daytime and thermal imaging for night. This dual-spectrum support enables the drone tracking module to perform target recognition and autonomous tracking in complete darkness, fog, or challenging lighting conditions. With P1/P2 dual-camera fast switching, operators can seamlessly transition between spectrum modes without interrupting the mission. Furthermore, the module integrates comprehensive connectivity options—CVBS for video, UART for communication, and CRSF for RC control—ensuring compatibility with most drone setups. An intelligent failsafe system further elevates safety; if the remote control signal is lost, the Drone AI Autopilot can maintain control and continue tracking, safeguarding the aircraft until communication is restored. This robust design, combined with dual-spectrum support, makes the AI Tracking Module DAV3.0 an indispensable tool for security patrols, wildlife monitoring, and automated cinematography. Indeed, its ability to lock onto targets using either thermal or visual input ensures mission success day and night. In addition, the FPV AI locking capabilities integrate seamlessly with FPV goggles for immersive manual override. Moreover, the lightweight and low power consumption characteristics allow for extended flight times without sacrificing performance.Related linkswebsitehttps://uavauto.comproduct-linkhttps://uavauto.com/product/ai-tracking-module-dav3-0/Phone+86 13602546081 (Mr. Wang)Emailkuiwong@hkdada.com

Stable Tracking for Critical Missions: Trac-DA052H Video Tracking Board Redefines Precision Unmanned aerial vehicles and mobile surveillance platforms often encounter image jitter from wind gusts, motor vibrations, and abrupt course changes. This instability can quickly degrade tracking accuracy, causing conventional algorithms to lose lock on the intended target. The Trac-DA052H Video Tracking Board, however, overcomes these challenges with high-precision tracking that remains stable even in turbulent conditions. Specifically, its CameraLink Base input seamlessly integrates high-bandwidth sensors, transmitting uncompressed video data for superior target discrimination. Meanwhile, built-in RTSP streaming over a Gigabit Ethernet link enables remote command centers to view the video feed in real time. The board’s large 64 GB memory supports more than three hours of compressed video storage. This provides both live streaming and a secure archive for post‑mission analysis. Additionally, advanced anti-shake algorithms and a responsive tracking core ensure continuous, reliable performance for long-range reconnaissance. Designed for mission-critical operations, this surveillance board maintains power consumption below 10 W. It also has a compact footprint of 77 mm × 50 mm. These characteristics make it exceptionally suitable for border monitoring, critical infrastructure protection, and drone-based reconnaissance. Consequently, the Trac-DA052H Video Tracking Board establishes a new benchmark. It achieves stable, precise visual tracking even in the most demanding environments. How the Trac-DA052H Video Tracking Board Leverages Advanced CameraLink and RTSP Streaming At the core of the Trac-DA052H Video Tracking Board lies a CameraLink Base input. This high-bandwidth interface delivers uncompressed video from advanced imaging sensors. The direct connection eliminates latency and compression artifacts common in consumer-grade links. It preserves every detail needed for accurate target identification and classification. In reconnaissance applications, such pristine image quality can be the difference between a successful track and a missed threat. Moreover, the board streams the processed video via RTSP over a Gigabit Ethernet connection. This enables secure, low-delay monitoring at remote terminals. The dual RS‑422 serial ports further simplify integration with gimbal controllers, autopilots, and other payload electronics. They reduce wiring complexity. The board’s lightweight construction—only 42.8 grams for the bare board—preserves precious payload capacity. The on‑board 64 GB storage reliably records mission data. Video compression extends recording time to over three hours at 6 Mbps, ensuring no evidence is lost. Therefore, from high-altitude ISR missions to fixed-site perimeter security, this video tracking board delivers uncompromising performance. It is suitable for any surveillance deployment. Overcoming Camera Shake with Robust DADA Tracking Algorithms Camera shake poses a serious threat to tracking accuracy. It introduces relative motion between the target and background, corrupting the feature descriptors that algorithms rely on. For instance, correlation‑filter trackers use fixed templates. When jitter shifts the target beyond the template’s tolerance, the lock is lost. Moreover, many trackers limit their search to a small region around the previous target location. A sudden displacement can push the object entirely out of range. The Trac-DA052H mitigates these risks with its DADA tracking algorithm. This approach fuses robust feature representations, adaptive template updating, and a dynamically enlarged search area. In particular, the algorithm continuously refines the target model to accommodate appearance changes caused by motion, lighting, or partial occlusion. As a result, even severe camera vibrations—such as those experienced on a fast‑moving UAV—do not break the lock. The demonstration video below shows the Trac-DA052H Video Tracking Board maintaining unwavering focus on a single object during intense shake. This proves its resilience for high‑precision tracking applications. Consequently, operators can confidently deploy the board for critical surveillance tasks. These include border monitoring, infrastructure protection, and other sensitive reconnaissance missions where reliability is non‑negotiable. The combination of robust algorithms and rugged hardware makes the Trac-DA052H an indispensable surveillance board for modern defense and security operations. Related links website https://uavauto.com product-link https://uavauto.com/product/trac-da052h-video-tracking-board/ Phone +86 13602546081 (Mr. Wang) Email kuiwong@hkdada.com