The invention provides an unmanned aerial vehicle front-end recognition system fused with a low-power-consumption chip deep learning algorithm, which comprises an adjusting device, an unmanned aerial vehicle, an acquisition device and a processor; the adjusting device adjusts the posture of the unmanned aerial vehicle; the acquisition device is used for acquiring data of an advancing path of the unmanned aerial vehicle; the acquisition devices are respectively arranged on the unmanned aerial vehicle; the acquisition device is arranged on the unmanned aerial vehicle and performs data acquisition on the operation front end of the unmanned aerial vehicle; the acquisition device comprises an acquisition mechanism and an acquisition algorithm; the acquisition mechanism is used for acquiring data in the operation process of the unmanned aerial vehicle; the acquisition algorithm is used for processing data acquired by the acquisition mechanism; the acquisition mechanism comprises an angle deflection component and an acquisition probe, and the angle deflection component is used for adjusting the detection position of the acquisition probe. According to the invention, the detection probe arranged at the front end of the unmanned aerial vehicle collects the image or video data, and carries out analysis according to the image or video data, thereby achieving the precise recognition of an object or an area.
本发明提供了一种融合低功耗芯片深度学习算法的无人机前端识别系统,其包括调整装置、无人机、采集装置和处理器,调整装置对无人机的姿势进行调整;采集装置对无人机的行进路径进行数据的采集;采集装置分别设置在无人机上;采集装置设置在无人机上并对无人机的运行前端进行数据的采集;采集装置包括采集机构和采集算法,采集机构用于对无人机运行过程的数据进行采集;采集算法用于对采集机构采集的数据进行处理;采集机构包括角度偏转构件和采集探头,角度偏转构件用于对采集探头的检测位置进行调整。本发明过设置在无人机前端的检测探头对图像或者视频数据进行采集,并依据图像或者视频数据进行分析,实现对物品或者区域的精准识别。
Unmanned aerial vehicle front-end recognition system fused with low-power-consumption chip deep learning algorithm
一种融合低功耗芯片深度学习算法的无人机前端识别系统
2022-01-28
Patent
Electronic Resource
Chinese
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