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An automatic wireless rechargeable artificial intelligence drone

A wireless charging and artificial intelligence technology, applied in the field of drones, can solve problems such as the inability of drones to charge by themselves and inability to perform deep learning, and achieve the effect of reducing labor costs, reducing manual operations, and improving safety.

Active Publication Date: 2019-05-21
上海佰恩智电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the technical problems that traditional unmanned aerial vehicles cannot charge themselves and cannot learn deeply, the present invention proposes an automatic wireless charging artificial intelligence unmanned aerial vehicle

Method used

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  • An automatic wireless rechargeable artificial intelligence drone

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Embodiment

[0015] Embodiment: An automatic wireless charging type artificial intelligence drone, the method provided by the present invention is described in detail in conjunction with the accompanying drawings.

[0016] An automatic wireless rechargeable artificial intelligence unmanned aerial vehicle is characterized in that: it includes a controller 1 embedded on the unmanned aerial vehicle power frame 8 for controlling the flight of the unmanned aerial vehicle; the controller 1 includes : GPU3, i7 processor 2; GPRS module 4, coupled to the i7 processor 2 to communicate with the mobile phone APP client 15 through the GPRS network; GPS module 5, coupled to the i7 processor 2 to locate the unmanned The position of the drone; the inertial measurement unit 6, coupled to the i7 processor 2 for determining the acceleration, inclination, attitude and other data of the drone; the direction sensor 7, coupled to the i7 processor 2 for Determine the flight direction of the drone; the optical flo...

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Abstract

An automatic wireless rechargeable artificial intelligence unmanned aerial vehicle is characterized in that: it includes a controller; the controller includes: a GPU, an i7 processor; a GPRS module, a GPS module, an inertial measurement unit, and a direction sensor, respectively coupled On the i7 processor; optical flow sensor, installed on the bottom of the drone, coupled to the GPU; binocular camera, installed in front of the drone, coupled to the GPU; power monitoring module , coupled to the power module; the wireless charging module, coupled to the power module. The wireless charging module charges the power module through a ground wireless charging station. With the deep learning ability of artificial intelligence, it can modify the flight plan according to the changes when performing the flight mission, and can complete the charging task by itself.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicles, in particular to an automatic wireless charging artificial intelligence unmanned aerial vehicle. Background technique [0002] UAVs can replace humans in environments and weather where humans cannot reach or operate normally, and do work that humans cannot do. However, most of the UAVs on the market now control the flight of UAVs through manual operation, and the flight time Short, it needs manual charging or manual replacement of the power supply after each flight, making the operation very troublesome. Therefore, UAVs are required to have artificial intelligence deep learning capabilities. During field operations, they can learn and automatically correct flight plans by acquiring massive visual data, without relying on manual real-time operations like traditional CPU UAV products. Iterative update of repeated manual schemes, and can realize self-charging to reduce manual operations. C...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18H02J7/02H02J50/00B64C39/02G05D1/10
CPCH02J7/025H04N7/183G05D1/101B64C39/024B64U2101/00
Inventor 不公告发明人
Owner 上海佰恩智电子科技有限公司
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