(1) Start time

August 2024

(2) Project Overview

There are many challenges in the traditional manual patrol of the nature reserve: The reserve covers an area of 44.85 square kilometers, which is large, resulting in high labor costs. In some areas, the terrain is complex, and it is difficult for vehicles to access, which limits the inspection efficiency and frequency. The geographical environment is complex, making it difficult to detect illegal activities and enforce the law.

The project has set up 5 drone hangars in the nature reserve to achieve full coverage. The drones have strong operational capabilities, with each drone conducting more than 10 inspection flights per day on average. Relying on AI image recognition technology, they can accurately identify illegal activities and monitor wildfires. With the AI species recognition algorithm, they can count the dynamics of milu deer, providing data support for ecological protection and making up for the shortcomings of traditional patrols.

(3) Technical solutions and their advantages and characteristics

UAV Wetland Reserve Inspection Solution deeply integrates UAV technology, artificial intelligence (AI) technology, and system integration technology. Through customized flight control software and intelligent recognition systems, it constructs an ecological protection and comprehensive patrol system with sustainable expansion capabilities.

Efficient Multi-UAV Collaboration: Multiple UAVs operate in coordination to quickly cruise across the entire reserve. They can fly precisely in complex terrains and efficiently identify various potential hazards. For suspicious areas, UAVs can conduct low-altitude refined inspections. Relying on an automated airport, they can achieve precise landings and rapid charging to ensure 24-hour uninterrupted inspections, effectively improving the monitoring efficiency and coverage.

Intelligent AI Recognition: AI algorithms analyze image data in real-time to accurately identify illegal intrusion behaviors and signs of fire. Once illegal intrusion or fire hazards are detected, the system immediately triggers an alarm mechanism and simultaneously pushes information such as the target location and on-site images to the operation center to ensure that risks are responded to and handled in a timely manner.

Large Animal Statistics: The system can identify individual elk through image recognition and AI algorithms, enabling population counting and distribution monitoring. It can quickly process a large amount of image data and accurately locate the activity range of elk, providing data support for the reserve to formulate scientific ecological protection and management strategies.

Multi-department Data Linkage: The solution enables data sharing with existing platforms and links departments such as public security, fire departments, and forestry departments. When problems such as illegal intrusion or fire are detected, on-site information is pushed in real-time for multi-department collaborative handling.

(4) Project performance

Through the application of this technology, the number of patrol personnel has been reduced by 56%, the inspection efficiency has increased by 8 times, the management cost has decreased by at least 20%, the emergency response time has been significantly shortened, and the overall inspection efficiency has been remarkably improved.