CN207251821U - A kind of Internet of Things image collecting device - Google Patents

A kind of Internet of Things image collecting device Download PDF

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Publication number
CN207251821U
CN207251821U CN201721375947.6U CN201721375947U CN207251821U CN 207251821 U CN207251821 U CN 207251821U CN 201721375947 U CN201721375947 U CN 201721375947U CN 207251821 U CN207251821 U CN 207251821U
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image
mcu microcontrollers
internet
memory
things
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CN201721375947.6U
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施卫杰
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XIAMEN GRANDKE TECHNOLOGY CO., LTD.
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Huzhou Inspiration Electronic Technology Co Ltd
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Abstract

The utility model provides a kind of Internet of Things image collecting device, including imaging sensor, MCU microcontrollers and memory;Described image sensor is connected by SPI interface with the MCU microcontrollers, and described image sensor catches the image of target object in environment;The MCU microcontrollers are connected by I2C interface with described image sensor, and the MCU microcontrollers handle the image that described image sensor captures;The memory is connected by SPI interface with the MCU microcontrollers, and the memory is stored the image that the MCU microcontrollers are handled well;The MCU microcontrollers are also connected by RS232 interface with host computer.The utility model is directly connected with microcontroller with cmos image sensor, uses Flash as video memory, and RS232 is video transmission protocol, and the method that multiple image is spliced into piece image, realizes remote monitoring.

Description

A kind of Internet of Things image collecting device
Technical field
Internet of Things monitoring technology field is the utility model is related to, more particularly to a kind of Internet of Things image collecting device.
Background technology
Internet of Things is on the basis of computer internet, and using technologies such as RFID, wireless data communication, construction one covers " the Internet of Things " of all things in unparalleled boundary.In this network, article can carry out " exchange " each other, and Intervention without people.Its essence is using various sensing technologies such as radio frequency automatic identifications, article is realized by computer internet Automatic identification and information interconnection with it is shared.The universally recognized Internet of Things concept of industry is by radio frequency (RFID), red at present The information sensing devices such as outer inductor, global positioning system (GPS), laser scanner, environmental sensor, image perception, are pressed The agreement of agreement, connects any article with internet, carries out information exchange and communication, to realize Weigh sensor, determine Position, tracking, monitoring and a kind of network managed.
In many occasions, since objective condition limits, people are not likely to enter scene and are directly observed, and can only use and adapt to Property stronger electronic image equipment come replace complete.The image technique to grow up in this context becomes hot spot of concern One of application technology, it is enriched with the directly perceived, information content and is widely used in many occasions.And realized in Internet of things system Image Acquisition, it is necessary to consider the following characteristics of Internet of Things:
(1) Internet of things node is to Price Sensitive.Internet of Things is the large-scale application of information sensing technology, sensing node number Hundreds and thousands of, if the cost of each node improves a bit, the cost of whole Internet of things system will improve very much, so sensing section Dot image collection into should be as far as possible low.
(2) most of Internet of Things is applied not high to image quality requirements.Image Acquisition, which is mainly to aid in user, to be arrived Scene can observe field condition, as long as can tell field scene for most of applications, need not gather very high The image of pixel.
(3) cost consideration is based on, Internet of Things selects the not high networking of the transmission rates such as RS232, ZigBee or GPRS mostly Mode, image transmitting time are longer.But the position that many monitoring nodes are placed is fixed, and the image of collection is quasi-static image, That is image is constant in most cases, so of less demanding to frame per second.Even if the speed of Image Acquisition is slow, There will not be too much influence to the observation of field condition.
Utility model content
(1) technical problem solved
To solve the above-mentioned problems, the utility model provides a kind of Internet of Things image collecting device, direct with microcontroller It is connected with cmos image sensor, uses Flash as video memory, RS232 is video transmission protocol, and multiple image is spelled The method of piece image is connected into, realizes remote monitoring.
(2) technical solution
A kind of Internet of Things image collecting device, including imaging sensor, MCU microcontrollers and memory;
Described image sensor is connected by SPI interface with the MCU microcontrollers, and described image sensor catches environment The image of middle target object;
The MCU microcontrollers are connected by I2C interface with described image sensor, and the MCU microcontrollers are to the figure The image captured as sensor is handled;
The memory is connected by SPI interface with the MCU microcontrollers, and the memory is by the MCU microcontrollers The image handled well is stored;
The MCU microcontrollers are also connected by RS232 interface with host computer, the figure that the MCU microcontrollers will store As being uploaded to the host computer.
Further, continuous 3 two field picture that the MCU microcontrollers capture described image sensor is combined into piece image Store again to the memory.
Further, described image sensor selects 1/13 inch of QVGA form cmos image sensor chips SP0828.
Further, the MCU microcontrollers select low-power consumption 8-bit microprocessor STM8S207S6.
Further, the memory is Flash video memories.
Further, the Flash video memories select SST25VF020.
(3) beneficial effect
The utility model provides a kind of Internet of Things image collecting device, with microcontroller directly with cmos image sensor phase Even, Flash is used as video memory, RS232 is video transmission protocol, and multiple image is spliced into the side of piece image Method, realizes remote monitoring, its is simple in structure, and compact is of low cost, and real-time is good, and application field is extensive, both can be independent As independent image capturing system, and can be on low-down cost plus to other Internet of Things sensing nodes, to make Internet of Things Node has the function of to gather and transmit image, is user-friendly to a greater extent.
Brief description of the drawings
Fig. 1 is a kind of system architecture diagram of Internet of Things image collecting device involved by the utility model.
Fig. 2 is a kind of hardware connection figure of Internet of Things image collecting device involved by the utility model.
Embodiment
The embodiment involved by the utility model is described in further details below in conjunction with the accompanying drawings.
As shown in Figure 1, a kind of Internet of Things image collecting device, including imaging sensor, MCU microcontrollers and memory;Figure As sensor is connected by SPI interface with MCU microcontrollers, the image of target object in image capture sensor environment;MCU is mono- Piece machine is connected by I2C interface with imaging sensor, MCU microcontrollers to image capture sensor to image handle; Memory is connected by SPI interface with MCU microcontrollers, and memory is stored the image that MCU microcontrollers are handled well;MCU Microcontroller is also connected by RS232 interface with host computer, and the image stored is uploaded to host computer by MCU microcontrollers.
Imaging sensor is responsible for the collection of image, and the view data of collection is read in real time by MCU microcontrollers.Imaging sensor Resolution ratio be 240 × 320, data volume 150KB, and the internal RAM of MCU microcontrollers only has 2K, deposits not next two field picture, because The view data unloading of reading is entered memory by plug-in memory, MCU microcontrollers again on MCU microcontrollers for this.Due to picture number Entering memory according to unloading needs to take the time of data acquisition, this results in the volume collection of MCU microcontrollers meeting missed portion data, It is this application background of still image according to adopted image, the data missed can be substituted by lower two field pictures, thus with three frames Image is combined into piece image, waits piece image collection unloading to finish, microcontroller reads view data from memory again, passes through RS232 interface is transferred to host computer.
SP0828 is a complete 1/13 inch of QVGA form cmos image sensor chips, support RGB565, YUV422, RawBayer and Format picture format, maximum pixel are 240 × 320, and highest frame rate is 30 frames/s, Neng Gouman The requirement of sufficient Internet of Things sensing node Image Acquisition.SP0828 can be operated under 3 kinds of patterns:Common sensor, EMI and SPI, three The selection of kind pattern can be realized by I2C bus marco internal programmable function registers.The present apparatus uses SPI mode, RGB565 format-patterns export.
MCU microcontrollers select the 8-bit microprocessor STM8S207S6 of high-performance low-power-consumption, its speed of service is fast, and highest can To reach 24MHz.Internal resource enriches, and possesses the internal RAM of the In-System Programmable Flash, 2KB of 32KB, 1024B's EEPROM, 2 programmable serial UART interfaces, for a maximum speed up to the Hardware I2C interface of 400bit/s, one can work Make the maximum speed in master slave mode up to hardware SPI interface of 10bit/s etc..And its developing instrument is simple, it is easy to make With cheap.Therefore, select this microcontroller not only to configure additional devices, but also greatly reduce cost and contracting The short development time.
Memory selects Flash video memory SST25VF020, total capacity 256KB, single supply read and write operation, work It is 2.7~3.3V to make voltage, and low-power consumption, operating current 7mA, wait electric current is 3uA, and SPI interface is subjected to SPI clock frequencies Up to 33MHz, fast programming, quick erasing, quick reading etc., meets the requirement of image storage.
As shown in Fig. 2, MCU microcontrollers U2 by Hardware I2C interface to the internal register of cmos image sensor U1 into Row initialization, the data of cmos image sensor U1 transmissions are received by hardware SPI interface.Because Flash video memories U3 And SPI interface, so the hardware of Flash video memories U3 and cmos image sensor U1 time-sharing multiplex MCU microcontrollers U1 SPI interface.
The SPI_CS pins of cmos image sensor U1 select for SPI interface piece, and low level is effective, and only the pin is low electricity Flat, cmos image sensor U1 could receive the SPI clocks of MCU microcontrollers U2, then transmit data toward MCU microcontrollers U2, should The PD7 of pin connection MCU microcontrollers U2 is I/O mouthfuls common.The ECLK pins of U1 are main clock input pin, connect MCU microcontrollers The CLK_CCO mouths of U2, MCU microcontrollers U2 provide the master clock of 16MHz by this mouthful for cmos image sensor U1.The SPI_ of U1 RD pins are graphics control signals input pin, and whether the pin control next two field pictures of cmos image sensor U1 arrive, high electricity Flat effective, the PB6 of pin connection MCU microcontrollers U2 is I/O mouthfuls common.The SPI_CLK pins of U1 are the clock of SPI data output Signal input pin, the SPI_SCK mouths of pin connection MCU microcontroller U2 hardware SPI, MCU microcontrollers U2 are by the pin Cmos image sensor U1, which is provided, adopts several clocks, and cmos image sensor U1 transmits number according to clockwise MCU microcontrollers U2 when adopting several According to.The SPI_SDA pins of U1 are the data-signal output pin of SPI data output, which connects MCU microcontroller U2 hardware SPI SPI_MISO mouths, MCU microcontrollers U2 passes through the pin gathered data.The SPI_INT pins of U1 apply for signal, CMOS to interrupt Imaging sensor U1 is divided into every two field picture to interrupt several times, and MCU microcontrollers U2 responses are interrupted, and number is received in interrupt service routine According to pin connection MCU microcontrollers U2 has the I/O mouths PB4 of external interrupt receive capabilities.SBDA the and SCLK pins difference of U1 For the data pin and clock pins of I2C interface, the I2C_SDA and I2C_SCL of MCU microcontroller U2 Hardware I2C interfaces are connected, is Data/address bus and clock bus of the MCU microcontrollers U2 to cmos image sensor U1 internal register read-write operations.The PWDN of U1 Pin is initializing signal line, and the PC2 of pin connection MCU microcontrollers U2 is I/O mouthfuls common, which will pass in cmos image Sensor U1 is dragged down during powering on, and for the only pin in the case of low level, cmos image sensor U1 could normal work Make.
The SST_CE pins of U3 are the chip select pin of SPI interface, and low level is effective, pin connection MCU microcontrollers U2's PD0 is I/O mouthfuls common.SST_SO the and SST_SI pins of U3 are the data pin of SPI interface, connect the SPI_ of MCU microcontrollers U2 MISO and SPI_MOSI mouthfuls, SPI_MISO mouthfuls of the SPI_SDA time-sharing multiplexes with cmos image sensor U1.The SST_SCK of U3 draws Foot is the clock signal input pin of SPI interface, the SPI_SCK mouths of MCU microcontrollers U2 is connected, with cmos image sensor U1's SPI_SCK mouthfuls of SPI_CLK time-sharing multiplexes.
The utility model provides a kind of Internet of Things image collecting device, with microcontroller directly with cmos image sensor phase Even, Flash is used as video memory, RS232 is video transmission protocol, and multiple image is spliced into the side of piece image Method, realizes remote monitoring, its is simple in structure, and compact is of low cost, and real-time is good, and application field is extensive, both can be independent As independent image capturing system, and can be on low-down cost plus to other Internet of Things sensing nodes, to make Internet of Things Node has the function of to gather and transmit image, is user-friendly to a greater extent.
Embodiment described above is only that the preferred embodiment of the utility model is described, not to this practicality New spirit and scope are defined.Without departing from the design concept of the present utility model, ordinary people in the field couple The all variations and modifications that the technical solution of the utility model is made, should fall within the protection scope of the present utility model, this reality With new claimed technology contents, all record in detail in the claims.

Claims (6)

  1. A kind of 1. Internet of Things image collecting device, it is characterised in that:Including imaging sensor, MCU microcontrollers and memory;
    Described image sensor is connected by SPI interface with the MCU microcontrollers, and described image sensor catches mesh in environment Mark the image of object;
    The MCU microcontrollers are connected by I2C interface with described image sensor, and the MCU microcontrollers pass described image The image that sensor captures is handled;
    The memory is connected by SPI interface with the MCU microcontrollers, and the memory handles the MCU microcontrollers Good image is stored;
    The MCU microcontrollers are also connected by RS232 interface with host computer, and the MCU microcontrollers are by the image stored Reach the host computer.
  2. A kind of 2. Internet of Things image collecting device according to claim 1, it is characterised in that:The MCU microcontrollers are by institute State image capture sensor to continuous 3 two field picture be combined into piece image and store again to the memory.
  3. A kind of 3. Internet of Things image collecting device according to claim 2, it is characterised in that:Described image sensor is selected 1/13 inch of QVGA form cmos image sensor chips SP0828.
  4. A kind of 4. Internet of Things image collecting device according to claim 2, it is characterised in that:The MCU microcontrollers are selected Low-power consumption 8-bit microprocessor STM8S207S6.
  5. A kind of 5. Internet of Things image collecting device according to claim 2, it is characterised in that:The memory is Flash Video memory.
  6. A kind of 6. Internet of Things image collecting device according to claim 5, it is characterised in that:The Flash images storage Device selects SST25VF020.
CN201721375947.6U 2017-10-24 2017-10-24 A kind of Internet of Things image collecting device Active CN207251821U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201721375947.6U CN207251821U (en) 2017-10-24 2017-10-24 A kind of Internet of Things image collecting device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201721375947.6U CN207251821U (en) 2017-10-24 2017-10-24 A kind of Internet of Things image collecting device

Publications (1)

Publication Number Publication Date
CN207251821U true CN207251821U (en) 2018-04-17

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201721375947.6U Active CN207251821U (en) 2017-10-24 2017-10-24 A kind of Internet of Things image collecting device

Country Status (1)

Country Link
CN (1) CN207251821U (en)

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Effective date of registration: 20180725

Address after: 510000 B1B2, one, two, three and four floors of the podium building 231 and 233, science Avenue, Guangzhou, Guangdong.

Patentee after: GUANGZHOU BOAO ZONGHENG NETWORK SCIENCE & TECHNOLOGY CO., LTD.

Address before: 313000 208, room 2, 212 Hongqi Road, Wuxing District, Huzhou, Zhejiang.

Patentee before: Huzhou inspiration Electronic Technology Co., Ltd.

Effective date of registration: 20180725

Address after: 361008 room 1504, 2, Gu Xing Li, Siming District, Xiamen, Fujian

Co-patentee after: Ji Chensong

Patentee after: Ji Menghai

Co-patentee after: Chen Xiaofen

Co-patentee after: Yang Yunlong

Co-patentee after: Zheng Jintian

Address before: 510000 B1B2, one, two, three and four floors of the podium building 231 and 233, science Avenue, Guangzhou, Guangdong.

Patentee before: GUANGZHOU BOAO ZONGHENG NETWORK SCIENCE & TECHNOLOGY CO., LTD.

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Effective date of registration: 20190314

Address after: Room 504, No. 17, Hailu No. 2, Xiamen Software Park, Fujian Province, 361000

Patentee after: XIAMEN GRANDKE TECHNOLOGY CO., LTD.

Address before: 361008 room 1504, 2, Gu Xing Li, Siming District, Xiamen, Fujian

Co-patentee before: Ji Chensong

Patentee before: Ji Menghai

Co-patentee before: Chen Xiaofen

Co-patentee before: Yang Yunlong

Co-patentee before: Zheng Jintian

TR01 Transfer of patent right