As a basic tool in the industry, drones are equipped with a variety of mission equipment to provide aerial perspectives.
The drone is equipped with surveillance mission equipment, and the AI technology that combines the video stream and image on the ground makes the drone from "visible" to "understandable"
Target tracking and reconnaissance surveillance
based on artificial intelligence
In 2019, JOUAV was shortlisted by the Ministry of Industry and Information Technology for the "Key Tasks of New Generation Artificial Intelligence Industry Innovation" and formed core technologies such as AI-based target tracking and reconnaissance and surveillance technologies.
The JOUAV UAV real-time monitoring system observes the ground as a mobile monitoring camera in the air. At the same time, the mobile surveillance camera needs to be able to identify, track, classify and count the target. When a suspicious vehicle is found during the inspection, the ground monitoring personnel issue tracking instructions. The camera of the photoelectric pod will always place the vehicle in the center of the field of view. The drone can also change the original preset route according to the target and always follow the vehicle. Take the flight.
For example, in the international marathon, the JOUAV CW-15 UAV carries a dual-light pod, which is responsible for the air cruise monitoring task during the competition. During the mission, the drone locks the leading vehicle, automatically follows it, and recognizes and counts the gathering of people on the ground and road obstacles.
Improve decision-making through intelligence
Artificial intelligence + drones, the broader world is to perform mission operations in scenes that some people cannot approach.
In March 2020, a forest fire broke out in Xichang City, Liangshan Prefecture, Sichuan Province. Six JOUAV UAVs carry dual-light pods into the fire scene, monitor the fire, accurately locate the fire scene, measure the area of the fire scene, and transmit the reconnaissance information back to the Xichang Command Center in real time, providing an effective basis for rescue decision-making.
"Industrial drones, as a basic tool, can carry different mission equipment, such as cameras, multi-spectrum, radar, etc., and are essentially processing ground images or video streams."
"From being able to see clearly to being able to understand, the image is structured and intelligentized to reduce human identification and judgment, provide a more objective and reliable basis, and allow people to make better decisions."
Artificial intelligence + UAV,
new breakthroughs in smart air traffic control
Autonomy, clustering, and diversified flights are the future development trends of UAVs. The diversified applications of low-altitude UAVs, variable dynamic demands, and high-density flights pose new demands and challenges to the existing air traffic control system.
Wang Chen said that industrial drones are the basic tools of the industry, and the in-depth combination with artificial intelligence can make the mission system smarter, more accurate, and more efficient. In the future, artificial intelligence drones can change from command-level operations to task-level operations, prompting UAV air traffic control to be more standardized, realizing a real-time online, massive and intelligent low-altitude air traffic control system.