Applications of Computer Vision in Unmanned Systems
Computer vision applications span various unmanned missions across both civilian and defense sectors. These include:
Surveillance and Reconnaissance

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Unmanned systems with advanced computer vision algorithms are widely used for surveillance and reconnaissance tasks. These systems can detect, classify, and track multiple targets in real time, even in complex or cluttered environments. Facial recognition and visual tracking capabilities enable persistent monitoring of individuals or vehicles across borders and high-security zones. This automation reduces human workload while increasing situational awareness and response speed.
Search and Rescue
Drones outfitted with thermal cameras and AI-powered anomaly detection play a critical role in search and rescue operations. Computer vision helps identify heat signatures, detect movement, or highlight inconsistencies in landscapes that might indicate the presence of missing persons. These systems can operate in challenging weather or terrain where human access is limited. Their ability to quickly survey large areas enhances response times and increases the chance of successful recoveries.
Agriculture
Computer vision supports various agricultural applications, collectively known as precision agriculture. Agricultural drones can monitor crop health using multispectral imaging, detect weeds, assess irrigation needs, and estimate yields with high accuracy. By analyzing visual data across large fields, farmers can optimize resource use and improve productivity. This technology also supports long-term land management and early detection of disease or infestation.
Infrastructure and Inspection
Inspection drones rely on computer vision to autonomously scan infrastructure such as bridges, pipelines, wind turbines, and solar panels. Using techniques like 3D reconstruction, object detection, and crack identification, these systems can detect structural issues with minimal human input. Vision-based inspection reduces downtime and improves safety by removing the need for manual access to hazardous areas. The data collected can also feed into digital twin systems for lifecycle asset management.
Logistics and Automation
In logistics, computer vision enables unmanned systems to handle package tracking, inventory scanning, and automated routing. Drones can navigate warehouses, monitor stock levels, and optimize delivery paths in real time using object recognition and collision avoidance. This results in improved supply chain efficiency and reduced human labor. The technology also supports last-mile delivery for cargo drones, with vision-based landing and drop-off precision.
Maritime and Environmental Monitoring
Maritime surveillance drones use computer vision to track vessels, detect oil spills, and monitor marine wildlife. Infrared and multispectral imaging allow for day/night operation and data collection in remote or hazardous maritime zones. The same vision systems can detect illegal fishing or support conservation efforts. These applications contribute to environmental protection and compliance with international maritime regulations.