Jul 16, 2025
The optoelectronic identification tracking device (bi-optical) technology in UAV detection is an efficient and accurate means of target identification and tracking, particularly applicable to UAV platforms. The following is a detailed analysis of the technology:
Technology Overview
Optical recognition and tracking equipment (dual-light) combines visible light and infrared imaging technology, collects the optical information of the target through the optical system, and converts it into electrical signals for processing and analyzing, in order to realize the fast and accurate recognition and tracking of the target. The application of such equipment in the field of unmanned aerial vehicles (UAVs) has greatly enhanced the operational capability and efficiency of UAVs in complex environments.
Main Functions
1. with the function of visible light and infrared dual-channel;
2. With the function of high-definition photo and video recording;
3. With the function of single target tracking and synchronized zoom marking target.
4. With the function of displaying the image, orientation, pitch and other information of the tracking locked target;
5. With automatic adjustment of the lens and turntable for fully automated tracking functions;
6. With other detection target guidance equipment for automatic search, discovery, tracking target function;
7. In the set time without operating equipment, can be automatically returned to the position, lock;
8. With the function of photo storage and video playback;
9. With the function of equipment self-test and abnormal report;
With remote software upgrade, secondary development of standard interfaces and protocols.
The key technology analysis
1. Optical system:
Visible imaging: using the visible spectral range of the human eye, to provide the true color information of the target, suitable for daytime and well-lit environments.
Infrared imaging: using the target's own thermal radiation for imaging, not subject to light conditions, can work at night or under adverse weather conditions. The combination of these two imaging methods can greatly improve the reliability and accuracy of the identification.
2. image processing technology:
Pre-processing, enhancement and segmentation operations are performed on the captured image to improve the quality and clarity of the image, laying the foundation for subsequent target detection and tracking.
Extract the useful information in the image, such as the shape, texture, color and other characteristics of the target, to provide an important basis for identification.
3. Target detection and tracking:
Target detection techniques are used to quickly and accurately locate the position of a target in an image.
Tracking techniques are then used to monitor the movement trajectory of the target in real time to ensure that the UAV can continuously lock onto the target. In complex environments, such as occlusion, target movement speed changes, etc., the target detection and tracking algorithm needs to have high robustness and real-time performance.
4. feature extraction and matching:
A set of data that can represent the characteristics of the target is obtained by performing feature extraction on the image of the target.
These features are matched with a preset target template to determine the identity of the target. The choice of feature extraction and matching algorithms has an important impact on the accuracy and efficiency of the recognition.
5. Deep learning techniques:
In recent years, deep learning has made significant progress in the field of image processing and target recognition. In UAV photoelectric recognition tracking equipment, deep learning technology can be applied to image preprocessing, target detection, feature extraction and other aspects to improve the overall performance of the system.
Application Scenarios and Advantages
1. Application Scenario:
Security industry: the dual-light UAV can hover and shoot at high altitude, achieve image stability through gimbal stabilization technology, and conduct real-time monitoring of neighborhoods, parks and other places.
Broadcasting industry: inspection and maintenance of TV towers, communication towers and other high-level facilities, realizing convenient high-altitude shooting.
Agricultural industry: precise crop measurement in farmland, real-time monitoring of the growth of vegetation and the situation of pests and diseases.
2. Advantages:
Precise positioning: accurately locate the target position through high-definition dual cameras to improve the shooting effect.
Flexible operation: the UAV is flexible in operation and can flexibly adjust the flight height, speed and other parameters to meet the requirements of a variety of scenarios.
Efficient and safe: it can replace manual high-altitude hazard monitoring, improving operational efficiency and operational safety.
Real-time monitoring: it can monitor the target condition in real time anytime and anywhere, providing real-time data support.
The development trend of technology
1. Fusion detection: Fusion of different principles of detection methods (e.g. infrared + visible light, image + radar, etc.), set the advantages of each single technology into a comprehensive technical advantages, to improve the detection ability and effect.
2. Lightweight and mobile: with the development of technology and the trend of miniaturization of hardware, UAV detection equipment is becoming more and more miniaturized and lightweight, with stronger functions and performance. Detection equipment based on mobile carriers (such as cars, drones, ships, etc.) has become a new trend.
3. Intelligent: new technologies such as artificial intelligence and big data are introduced to realize precise detection and tracking of drones in complex environments.
In summary, the photoelectric identification and tracking device (dual-light) technology in UAV detection is an efficient and precise means of target identification and tracking, with a wide range of application scenarios and significant advantages. With the continuous development of technology, this technology will play an important role in more fields.
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