The integration of AI video tracking into UAV payloads dramatically improves mission efficiency and autonomy. Specifically, the DS071 target tracking board leverages the RV1126B’s 3TOPS NPU to run sophisticated deep learning models for real-time object recognition. As a result, drones can autonomously detect and lock onto moving targets without human intervention. This capability transforms a standard drone into a UAV tracking board-equipped system that can monitor traffic, track vessels, or detect intruders. Moreover, the intelligent gimbal tracker functionality ensures smooth target following, enabling stabilized video output. In addition, the global shutter camera eliminates rolling-shutter artifacts, which is crucial for high-speed tracking scenarios. Consequently, even fast-moving objects such as drones or aircraft are captured with pixel-level accuracy. The DS071’s support for centroid and correlation tracking algorithms further enhances versatility. This target tracking board’s precision ensures reliable lock-on even in challenging environments. Therefore, this AI video tracking solution adapts to any task. It tracks a small boat on water or a person in a crowd with ease. The UAV tracking board’s compact size and low power consumption make it perfect for extended flight missions. Furthermore, the board’s miss-distance output allows immediate gimbal control, keeping the target centered precisely. The built-in OSD overlay displays essential data like compass heading, coordinates, and tracking status, which aids operators on the ground. With RTSP streaming, remote monitoring is possible via standard video players. Finally, the optional SDK empowers developers to customize detection models for unique mission requirements. Overall, the DS071 provides an unmatched blend of performance and integration ease for modern UAV applications.

The DS071 AI video tracking board excels in diverse application scenarios, from drone detection tracking to fixed-site perimeter monitoring. This target tracking board’s powerful RV1126B AI processor delivers 3TOPS of neural processing power for instantaneous inference. This compact AI tracking module supports a global shutter camera. It captures crisp images free from distortion, even at high speeds. Consequently, security systems can reliably detect and follow intruding aircraft. Beyond aerial targets, the board also functions as a UAV tracking board for ground and maritime vehicles. For instance, patrol vessels can automatically lock onto suspicious boats. Moreover, the intelligent gimbal tracker mode integrates with EO/IR payloads to provide 24/7 visible and infrared tracking. As an intelligent gimbal tracker, it delivers real-time miss-distance for precise gimbal control. This intelligent gimbal tracker’s responsiveness minimizes tracking latency. In surveillance applications, the board generates real-time miss-distance data to guide gimbals, ensuring the target remains centered. With H.264/H.265 encoding and RTMP streaming, operators can monitor feeds remotely. Additionally, the board supports up to 64 simultaneous targets, making it suitable for complex multi-object scenarios. The optional development board version grants access to Ubuntu and SDK. It enables developers to train custom detection models for niche requirements like wildlife monitoring or industrial inspection. This UAV tracking board’s communication interfaces include RS422, UART, and Ethernet, allowing seamless connection to flight controllers and ground stations. With a weight of only 20.1g, this target tracking board operates reliably from -20℃ to +60℃, enduring harsh field conditions. Its low power draw below 4W maximizes flight endurance. Moreover, the standard 12V DC input simplifies power management in drone systems. Additionally, the target tracking board supports manual and automatic target locking via crosshair or point selection, offering flexible control modes for operators. Therefore, the DS071’s versatility and robust feature set position it as a cornerstone technology for next-generation autonomous vision systems.