Efficient ship target detection system

Abstract

The utility model provides an efficient ship target detection system, which comprises an FPGA processor, a DSP external controller, an image acquisition module, a wireless transmission module and a digital-to-analog conversion module, the model of the FPGA processor is XC7K325T, the DSP external controller adopts a multi-core DSP TMS320C6657, the FPGA processor is connected with a decoding module through a Camera Link acquisition interface, the FPGA processor is connected with the DSP external controller through an EMIF interface, and the DSP external controller is connected with the image acquisition module through a wireless transmission module. The DSP external controller transmits configuration data to the FPGA processor from the SPI FLASH memory to configure the FPGA processor, and the FPGA processor is connected with a DDR3 (double data rate 3) chip. According to the efficient ship target detection system based on the FPGA controller and the DSP, the result processed by the FPGA controller can be displayed on the displayer and uploaded to the cloud end, it is guaranteed that the processing result is accurate and efficient, and the efficient ship target detection system is simple and reasonable in structural design, convenient and rapid to use and high in practicability.

Description

Technical Field

[0001] The utility model relates to the technical field of ship target detection, in particular to an efficient ship target detection system. Background Art

[0002] In the field of sea surface detection and marine warfare, the research on surface ship target detection mainly includes SAR image detection and recognition methods and ship target detection and recognition methods in optical remote sensing images. SAR image detection and recognition started early, with a large number of mature research theories and related engineering applications. It mainly focuses on the differences in the magnetic scattering characteristics between ship targets and waters in SAR images. Among them, CFAR based on K-distribution, dual-parameter CFAR, window filtering method and SUMO operator are often used to detect ship targets. For wake detection, Hough transform and Radon transform are generally used. Ship target detection and recognition in optical remote sensing images are relatively lagging behind SAR image research. In recent years, the main work has been concentrated on the theoretical level. However, with the development of aerospace technology, the resolution of optical satellite images has been continuously improved. In current research, there is ship target detection based on FPGA, which can detect and extract large ship targets in the sea and land background of remote sensing images. After research, the applicant also proposed an efficient ship target detection system based on FPGA controller and DSP. Utility Model Content

[0003] The utility model aims to provide an efficient ship target detection system based on FPGA controller and DSP, which can display the results processed by the FPGA controller on a display and upload them to the cloud.

[0004] To achieve the above objectives, the utility model proposes the following technical solutions: an efficient ship target detection system, comprising:

[0005] FPGA processor and DSP external controller, the FPGA processor is connected to a decoding module via a Camera Link acquisition interface, the FPGA processor is connected to the DSP external controller via an EMIF interface, the DSP external controller transfers configuration data from the SPI FLASH memory to the FPGA processor to configure the FPGA processor, and the FPGA processor is connected to a DDR3 chip;

[0006] An image acquisition module, wherein the image acquisition module is used to acquire image data, the image acquisition module is connected to a decoding module, the image acquisition module transmits data to the decoding module for serial data decapsulation into parallel data, and the decoding module transmits data to an FPGA processor, and the FPGA processor performs data processing;

[0007] A wireless transmission module, wherein the wireless transmission module is connected to the FPGA processor, and the FPGA processor transmits data to the cloud server through the wireless transmission module, and the wireless transmission module is one of a 5G communication module, a GPRS transmission module, or a WIFI transmission module;

[0008] The digital-to-analog conversion module is connected to the FPGA processor, and the digital-to-analog conversion module exchanges information with the FPGA processor to collect image data, and then displays the collected image data on a display after superimposing characters.

[0009] Furthermore, in the present invention, the image acquisition module is a digital camera, and the digital camera acquires water surface image information in real time.

[0010] Furthermore, in the present invention, the decoding module includes a Camera Link chip, and the model of the Camera Link chip is DS90CR286MTD.

[0011] Furthermore, in the present invention, a DDR3 chip is connected to the DSP external controller.

[0012] Furthermore, in the present invention, the FPGA processor is connected to a network via a gigabit network port.

[0013] Furthermore, in the utility model, it also includes a power module and a host computer, the power module supplies power to the power-consuming unit, and the host computer communicates with the FPGA processor through the RS422 serial port to transmit instructions and results.

[0014] Beneficial effects: The technical solution of the present application has the following technical effects: The present application provides an efficient ship target detection system based on FPGA controller and DSP, which can display the results processed by the FPGA controller on a display and upload them to the cloud, ensuring the accuracy and efficiency of the processing results. The structural design is simple and reasonable, the use is convenient and fast, and it has strong practicality.

[0015] It should be appreciated that all combinations of the foregoing concepts, as well as additional concepts described in greater detail below, may be considered part of the inventive subject matter of the present disclosure, provided such concepts are not mutually inconsistent.

[0016] The foregoing and other aspects, embodiments and features of the present invention can be more fully understood from the following description in conjunction with the accompanying drawings. Other additional aspects of the present invention, such as the features and / or beneficial effects of the exemplary embodiments, will be apparent from the following description or learned from the practice of the specific embodiments according to the teachings of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are not intended to be drawn to scale. In the accompanying drawings, each identical or nearly identical component shown in various figures may be represented by the same reference numeral. For the sake of clarity, not every component is labeled in each figure. Now, embodiments of various aspects of the utility model will be described by way of example and with reference to the accompanying drawings, in which:

[0018] Figure 1 It is a schematic diagram of the utility model system.

[0019] Figure 2 It is a schematic diagram of the prior art. DETAILED DESCRIPTION

[0020] In order to better understand the technical content of the utility model, specific embodiments are cited and described as follows in conjunction with the accompanying drawings. In this disclosure, various aspects of the utility model are described with reference to the accompanying drawings, and many illustrative embodiments are shown in the accompanying drawings. The embodiments of the present disclosure are not necessarily defined to include all aspects of the utility model. It should be understood that the various concepts and embodiments introduced above, as well as those described in more detail below, can be implemented in any of many ways, because the concepts and embodiments disclosed in the utility model are not limited to any implementation method. In addition, some aspects disclosed in the utility model can be used alone, or used in any appropriate combination with other aspects disclosed in the utility model.

[0021] Example 1

[0022] like Figure 1 As shown, an efficient ship target detection system includes an FPGA processor, a DSP external controller, an image acquisition module, a wireless transmission module and a digital-to-analog conversion module. The model of the FPGA processor is XC7K325T, and the DSP external controller uses a multi-core DSP TMS320C6657. The FPGA processor is connected to a decoding module through a Camera Link acquisition interface. The FPGA processor is connected to the DSP external controller through an EMIF interface. The DSP external controller transfers configuration data from the SPIFLASH memory to the FPGA processor to configure the FPGA processor. The FPGA processor is connected to a DDR3 chip; it also includes an active crystal oscillator, which provides an external clock signal for the FPGA and a clock signal for the DDR3 SDRAM. The DSP external controller is connected to a DDR3 chip, and the DDR3 model is MT41J128M16-TJ-125. The FPGA processor has multiple I / O ports.

[0023] The image acquisition module is used to acquire image data. The image acquisition module is connected to the decoding module. The image acquisition module transmits data to the decoding module for serial data decapsulation into parallel data. The decoding module transmits data to the FPGA processor, and the FPGA processor processes the data. In this embodiment, the image acquisition module uses a digital camera, and the digital camera acquires water surface image information in real time. The decoding module includes a Camera Link chip, and the model of the Camera Link chip is DS90CR286MTD. This process does not involve the improvement of the program algorithm. In the prior art, the FPGA processor processes the data and analyzes whether there is a ship in the picture. There is a mature algorithm (detailed record in the master's degree thesis of Huazhong University of Science and Technology), such as Figure 2 In addition, other algorithms available for FPGA processors can also be used. This application aims at hardware improvement.

[0024] The wireless transmission module is connected to the FPGA processor, and the FPGA processor transmits data to the cloud server through the wireless transmission module. The wireless transmission module is one of a 5G communication module, a GPRS transmission module, or a WIFI transmission module. This process does not involve the improvement of the program algorithm. In the prior art, the FPGA is integrated with an adapted wireless communication module to realize wireless data transmission, which is needless to say.

[0025] The digital-to-analog conversion module is connected to the FPGA processor, and the digital-to-analog conversion module exchanges information with the FPGA processor to collect image data, and then displays the collected image data on a display after superimposing characters.

[0026] In this embodiment, the FPGA processor is connected to a network via a gigabit network port.

[0027] In this embodiment, a power module and a host computer are also included. The power module supplies power to the power-consuming unit, and the host computer communicates with the FPGA processor through the RS422 serial port to transmit instructions and results.

[0028] When in use, the digital camera transmits image data to the decoding module for serial data decapsulation into parallel data graphs, forming an image of the CameraLink protocol, which is received by DS90CR286MTD. The FPGA processor uses existing algorithms to process and analyze the data, and the results are transmitted to the cloud server through the wireless transmission module, or transmitted to the host computer through the RS422 serial port, and displayed on the monitor through the digital-to-analog conversion module.

[0029] The standard parts used in this application document can all be purchased from the market and can be customized according to the description in the specification and drawings. The specific connection methods of each part adopt conventional means such as mature bolts, rivets, welding, etc. in the prior art. The machinery, parts and equipment all adopt conventional models in the prior art. The control method is automatic control through a controller. The control circuit of the controller can be implemented through simple programming by technicians in this field, which is common knowledge in the field. This application is mainly used to protect mechanical devices, so this application no longer explains the control method and circuit connection in detail.

[0030] Although the present invention has been disclosed as above with preferred embodiments, it is not intended to limit the present invention. A person with ordinary knowledge in the technical field to which the present invention belongs may make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be determined by the definition of the claims.

Claims

1. An efficient ship target detection system, characterized by: include: FPGA processor and DSP external controller, the FPGA processor is connected to a decoding module via a Camera Link acquisition interface, the FPGA processor is connected to the DSP external controller via an EMIF interface, the DSP external controller transfers configuration data from the SPI FLASH memory to the FPGA processor to configure the FPGA processor, and the FPGA processor is connected to a DDR3 chip; An image acquisition module, wherein the image acquisition module is used to acquire image data, the image acquisition module is connected to a decoding module, the image acquisition module transmits data to the decoding module for serial data decapsulation into parallel data, and the decoding module transmits data to an FPGA processor, and the FPGA processor performs data processing; A wireless transmission module, wherein the wireless transmission module is connected to the FPGA processor, and the FPGA processor transmits data to the cloud server through the wireless transmission module; The digital-to-analog conversion module is connected to the FPGA processor, and the digital-to-analog conversion module exchanges information with the FPGA processor to collect image data, and then displays the collected image data on a display after superimposing characters.

2. The efficient ship target detection system according to claim 1, characterized in that: The image acquisition module is a digital camera, and the digital camera acquires water surface image information in real time.

3. The efficient ship target detection system according to claim 1, characterized in that: The decoding module includes a Camera Link chip, and the model of the Camera Link chip is DS90CR286MTD.

4. The efficient ship target detection system according to claim 1, characterized in that: The DSP external controller is connected with a DDR3 chip.

5. The efficient ship target detection system according to claim 1, characterized in that: The FPGA processor is connected to a network via a gigabit network port.

6. The efficient ship target detection system according to claim 1, characterized in that: It also includes a power module and a host computer. The power module supplies power to the power-consuming unit, and the host computer communicates with the FPGA processor through an RS422 serial port to transmit instructions and results.

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