CN213690649U - Thermal infrared portrait recognition circuit based on TensorFlow - Google Patents
Thermal infrared portrait recognition circuit based on TensorFlow Download PDFInfo
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- CN213690649U CN213690649U CN202021975203.XU CN202021975203U CN213690649U CN 213690649 U CN213690649 U CN 213690649U CN 202021975203 U CN202021975203 U CN 202021975203U CN 213690649 U CN213690649 U CN 213690649U
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Abstract
The utility model discloses a thermal infrared portrait recognition circuit based on TensorFlow, including the MCU unit to and respectively with MCU unit signal connection's infrared portrait acquisition processing unit, memory cell, TTS serial ports voice broadcast unit, OLED display element, data transmission module, infrared portrait acquisition processing unit, including infrared optical detector and data processing singlechip, infrared optical detector is used for gathering infrared dynamic portrait data and transmits to the data processing singlechip, the data processing singlechip carries out time sequence control and image enhancement to data, and locates in memory cell; and the MCU unit adopts an STM32F103C8T6 chip and controls the TTS serial port voice broadcast unit, the OLED display unit and the data transmission module to work. The utility model has the advantages of with low costs, low power dissipation, reliability and stability are high.
Description
Technical Field
The utility model discloses mainly relate to the infrared portrait discernment based on TensorFlow machine degree of depth study establishes circuit design.
Background
Thermal effect generated by infrared radiation is used as an important information resource and is widely used for sensing infrared distribution radiation of a scene so as to form a thermal imaging graph of the scene. The human body is used as a heat source generator, and can be identified and detected in an infrared imaging mode. People stream monitoring and identification in areas such as regional scenic spots, public transport hubs, building communities and the like generally adopt gate counting or CCD camera images to be processed through an algorithm, and in the process, image acquisition, face positioning, identification and other stages are carried out, and due to factors such as ambient light and collection angles, the identification accuracy and efficiency can be seriously reduced.
Disclosure of Invention
Problem to prior art existence, the utility model provides a thermal infrared portrait recognition circuit based on TensorFlow has advantages such as with low costs, low power dissipation, reliable and stable nature height.
In order to solve the technical problem, the utility model discloses a following technical scheme: a thermal infrared portrait recognition circuit based on TensorFlow, comprising:
comprises an MCU unit, an infrared portrait acquisition processing unit, a storage unit, a TTS serial port voice broadcast unit, an OLED display unit and a data transmission module which are respectively connected with the MCU unit through signals,
the infrared portrait acquisition processing unit comprises an infrared optical detector and a data processing single chip microcomputer, wherein the infrared optical detector is used for acquiring infrared dynamic portrait data and transmitting the infrared dynamic portrait data to the data processing single chip microcomputer, and the data processing single chip microcomputer is used for carrying out time sequence control and image enhancement processing on the data and storing the data in the storage unit;
the TTS serial port voice broadcasting unit is used for converting data in the storage unit into voice broadcasting;
the MCU unit adopts an STM32F103C8T6 chip, reads the data of the storage unit and sends control instructions to the TTS serial port voice broadcast unit and the OLED display unit;
and the data transmission module receives the MCU control instruction and transmits data to and from the upper computer.
Preferably, the infrared optical detector in the infrared portrait acquisition and processing unit adopts a UL03191 detector (ULIS, france); the data processing singlechip SPARTAN-XC6SLX16FPGA device.
As the preferred scheme, the MCU unit adopts STM32F103C8T6 chip, PB13 and PB14 of STM32F103C8T6 chip are connected with OLED display element, the VCC level of OLED display element supplies power through VCC33 and connects.
Preferably, the TTS serial port voice broadcast unit adopts an SPCE061A chip, is connected with PB10 and PB11 pins of an STM32F103C8T6 chip, and is in power supply connection through VCC 33.
Has the advantages that: compared with the prior art, the utility model has the advantages of with low costs, low power dissipation, reliable and stable nature is high and discernment detection accuracy is high.
Drawings
Fig. 1 is the utility model discloses a thermal infrared portrait recognition circuit's based on TensorFlow functional block diagram.
Fig. 2 is the circuit diagram of the thermal infrared human image recognition circuit based on the TensorFlow of the present invention.
Detailed Description
The invention will be further elucidated with reference to the embodiments described in the following, in conjunction with the drawings. It is understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention, and that modifications to various equivalent forms of the present invention will occur to those skilled in the art upon reading the present disclosure and are intended to be included within the scope of the appended claims.
As shown in fig. 1 and 2, the utility model discloses a thermal infrared portrait recognition circuit based on TensorFlow, include:
comprises an MCU unit, an infrared portrait acquisition processing unit, a storage unit, a TTS serial port voice broadcast unit, an OLED display unit and a data transmission module which are respectively connected with the MCU unit through signals,
the infrared human image acquisition processing unit comprises an infrared optical detector and a data processing single chip microcomputer, wherein the infrared optical detector in the infrared human image acquisition processing unit adopts a UL03191 detector (ULIS company, France); the data processing singlechip SPARTAN-XC6SLX16FPGA device. The UL03191 detector is used for acquiring infrared dynamic portrait data and transmitting the infrared dynamic portrait data to the data processing single chip microcomputer, the data processing single chip microcomputer performs time sequence control and image enhancement processing on the data, the image enhancement processing performs image enhancement processing on weak signals accompanied by a large amount of noise, a gray level stretch enhancement method is adopted in the embodiment to improve imaging quality, and the image enhancement method is stored in the storage unit; the STM32 serial chips are used as cores to control the work of the OLED display module, the data transmission module, the TTS serial port voice broadcast module and the stepping motor.
The TTS serial port voice broadcasting unit is used for converting data in the storage unit into voice broadcasting;
in this embodiment, MCU adopts STM32F103C8T6 chip, infrared optics collection processing unit carries out the identification process back to the image, MCU is high-efficient through reading the memory cell data, and then send control command to TTS serial ports voice broadcast unit and OLED display element and carry out voice broadcast warning and OLED demonstration, and control step motor makes infrared detector can track the scenery activity in real time, and will finally save data and send and receive the data transfer of host computer to the host computer through bluetooth or 4G agreement.
The circuit adopts the 4G module for data transmission, has the advantages of low function and low cost compared with the condition that an embedded operating system is needed for parallel transmission, and particularly meets the requirement of large data transmission through 4G transmission. The STM32 main control chip can meet the requirements of low processing speed, low power consumption and low cost, and the memory space of the STM32 meets the temporary storage requirement of data without adopting a CPU with larger memory space.
Claims (5)
1. A thermal infrared human image recognition circuit based on TensorFlow, characterized by comprising:
comprises an MCU unit, an infrared portrait acquisition processing unit, a storage unit, a TTS serial port voice broadcast unit, an OLED display unit and a data transmission module which are respectively connected with the MCU unit through signals,
the infrared portrait acquisition processing unit comprises an infrared optical detector and a data processing single chip microcomputer, wherein the infrared optical detector is used for acquiring infrared dynamic portrait data and transmitting the infrared dynamic portrait data to the data processing single chip microcomputer, and the data processing single chip microcomputer is used for carrying out time sequence control and image enhancement processing on the data and storing the data in the storage unit;
the TTS serial port voice broadcasting unit is used for converting data in the storage unit into voice broadcasting;
the MCU unit adopts an STM32F103C8T6 chip, reads the data of the storage unit and sends control instructions to the TTS serial port voice broadcast unit and the OLED display unit;
and the data transmission module receives the MCU control instruction and transmits data to and from the upper computer.
2. The TensorFlow-based thermal infrared portrait recognition circuit of claim 1, wherein: an infrared optical detector in the infrared portrait acquisition and processing unit adopts a UL03191 detector; the data processing singlechip SPARTAN-XC6SLX16FPGA device.
3. The TensorFlow-based thermal infrared portrait recognition circuit of claim 1, wherein: PB13 and PB14 of STM32F103C8T6 chip are connected with the OLED display element, the VCC level of OLED display element supplies power through VCC33 and connects.
4. The TensorFlow-based thermal infrared portrait recognition circuit of claim 1, wherein: the TTS serial port voice broadcast unit adopts an SPCE061A chip, is connected with PB10 and PB11 pins of an STM32F103C8T6 chip, and is connected with power supply through VCC 33.
5. The TensorFlow-based thermal infrared portrait recognition circuit of claim 1, wherein: the data transmission module is a Bluetooth module or a 4G module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021975203.XU CN213690649U (en) | 2020-09-11 | 2020-09-11 | Thermal infrared portrait recognition circuit based on TensorFlow |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202021975203.XU CN213690649U (en) | 2020-09-11 | 2020-09-11 | Thermal infrared portrait recognition circuit based on TensorFlow |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN213690649U true CN213690649U (en) | 2021-07-13 |
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| CN202021975203.XU Expired - Fee Related CN213690649U (en) | 2020-09-11 | 2020-09-11 | Thermal infrared portrait recognition circuit based on TensorFlow |
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- 2020-09-11 CN CN202021975203.XU patent/CN213690649U/en not_active Expired - Fee Related
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Granted publication date: 20210713 Termination date: 20210911 |
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| CF01 | Termination of patent right due to non-payment of annual fee |