Design of Automatic Search and Rescue UAV Based on Jetson Nano Combined with PX4 Pixhawk Flight Controller and Color Recognition Technology

This research is devoted to the design and implementation of an automatic search and rescue UAV system based on Jetson Nano and PX4 Pixhawk. The system combines advanced color recognition algorithm and efficient automatic search and rescue strategy, aiming at accurately recognizing the color of the target and performing corresponding rescue tasks in complex environment. Through careful hardware design and software implementation, this article successfully constructs a stable and reliable UAV system, and verifies its performance in the test environment. The test results show that the system has high-precision color recognition ability and efficient search and rescue efficiency. No matter what lighting conditions, this method can maintain a stable recognition rate, and the recognition rate is mostly close to or reaches 100%, which has good robustness and real-time performance. Through the continuous development of technology, it is believed that the automatic search and rescue UAV system will play an increasingly important role in the future rescue field and provide more effective protection for people's lives and property.