To enhance the automatic target recognition function of the surveillance system and enable it to conduct covert and long-term surveillance, the following improvements can be considered: 1. **Advanced computer vision algorithms**: Using deep learning and computer vision technology, more precise models can be trained to improve the accuracy of target recognition. These models can be trained with a large amount of annotated data to effectively identify specific objects, vehicles or people. 2. **Continuous learning and adaptive systems**: Introducing online learning and adaptive neural networks enables the system to learn changes in the environment over time, thereby improving the system's ability to recognize new targets or environmental changes. 3. **Multimodal data fusion**: Combining multiple sensor data such as video, infrared, and radar can provide more comprehensive environmental perception and enhance recognition, especially in low light or disguised situations. 4. **Edge computing**: Deploy computer vision models on the device side (such as the camera itself) to reduce data transmission latency and bandwidth consumption, while improving real-time responsiveness. This is critical for covert and real-time surveillance. 5. **Motion detection and background modeling**: Using advanced motion detection algorithms and background subtraction techniques, potential targets can be distinguished from background noise, allowing for more accurate monitoring. 6. **Privacy protection technology**: Combined with privacy protection technology, ensure that the monitoring system does not infringe on personal privacy, which can be achieved through data encryption and access control. 7. **Camouflage technology and camouflage learning**: Research the camouflage technology of objects or environments, so that the monitoring equipment itself is hidden in the environment without being noticed, and at the same time train the algorithm to identify the camouflaged object. 8. **Energy efficiency optimization**: Through intelligent power management and resource scheduling technology, ensure that the system can run for a long time in low-power mode, which is especially important for remote or frequently maintained monitoring equipment. 9. **Network security measures**: Ensure that the monitoring system itself has strong network security protection capabilities to prevent data leakage or unauthorized access. Through the combination of these technologies, the automatic target recognition function of the monitoring system can be effectively enhanced, and long-term covert monitoring can be achieved.