Unmanned aerial vehicle acquisition system based on intelligent aerial image recognition technology

Abstract

The invention discloses an unmanned aerial vehicle acquisition system based on the intelligent aerial image recognition technology. The system comprises an unmanned aerial vehicle, the unmanned aerial vehicle is provided with a communication transceiver module and a central processing unit which are in signal connection, the unmanned aerial vehicle is provided with a holder, and the holder is provided with a camera device and a picking device which are in signal connection with the central processing unit. The camera device comprises a pair of tracks which are unfolded in an inverted splayed shape, a pair of camera mounting seats which slide along the tracks respectively, and a first driving mechanism which drives the camera mounting seats to move back and forth along the tracks, cameras are arranged on the pair of camera mounting seats, and the cameras shoot fruit distribution images. The images are uploaded to a cloud server through a transmitting and receiving module, and the cloud server is used for calculating the size of the fruits and the depth distance of the fruits relative to the unmanned aerial vehicle and sending back the data, and the central processing unit is used for controlling the pair of cameras to move and then shooting the images for calculation or controlling the picking device to pick up the fruits.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle collection system based on intelligent aerial image recognition technology. Background technique [0002] my country's fruit tree production and planting industry has the following problems: 1. The industrialization system is weak, labor productivity is low, the production unit and scale are small, and the degree of mechanization is very low. A large number of production activities suitable for mechanized operations are still dominated by manual operations. 2. The level of post-production commercialization of fruit is low, and modern grading and packaging equipment is insufficient, resulting in uneven fruit size and quality, which seriously affects the establishment of brand reputation and leads to insufficient market competitiveness. [0003] From the point of view of the production process, relying on labor leads to low efficiency and...

AI Technical Summary

Problems solved by technology

[0002] my country's fruit tree production and planting industry has the following problems: 1. The industrialization system is weak, labor productivity is low, the production unit and scale are small, and the degree of mechanization is very low. A large number of production activities suitable for mechanized operations are still mainly manual operations

2. The level of post-production commercialization of fruit is low, and the modern grading and packaging equipment is insufficient, resulting in uneven fruit size and quality, which seriously affects the establishment of brand reputation and leads to insufficient market competitiveness.

[0003] From the point of view of the production link, relying on labor leads to low efficiency and low benefit. The reason for the low benefit is that there are differences in the growth rate of individual fruits, and the same branch has different fruits, but the high-quality fruits recognized by the market have standard sizes.

Since mechanized picking cannot intelligently identify many dense fruits, it can only be mechanized and graded according to different fruit sizes after unified picking

As a result, in a batch of production, only a certain proportion of high-quality fruits can be produced, and farmers suffer economic losses

Images