CN111199221A - Device and method for improving face snapshot recognition rate in complex light environment - Google Patents

Device and method for improving face snapshot recognition rate in complex light environment Download PDF

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Publication number
CN111199221A
CN111199221A CN202010071057.6A CN202010071057A CN111199221A CN 111199221 A CN111199221 A CN 111199221A CN 202010071057 A CN202010071057 A CN 202010071057A CN 111199221 A CN111199221 A CN 111199221A
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image
face
filtering device
filtering
processing unit
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CN202010071057.6A
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Chinese (zh)
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周冬生
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Chengdu Guoyi Electronic Technology Co ltd
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Chengdu Guoyi Electronic Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/12Details of acquisition arrangements; Constructional details thereof
    • G06V10/14Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/143Sensing or illuminating at different wavelengths

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Studio Devices (AREA)
  • Image Processing (AREA)

Abstract

The invention relates to the technical field of face recognition, in particular to a device and a method for improving face snapshot recognition rate in a complex light environment, which comprises a lens, a filtering device, a photoelectric sensor, an image processing unit, a main controller, an ambient light brightness sensor and a power supply circuit, wherein the main controller is respectively connected with the ambient light brightness sensor and the filtering device; the camera lens transmits the collected human face image to the filtering device, infrared or visible light is automatically selected for filtering through the filtering device according to the ambient light value collected by the ambient light brightness sensor, the photoelectric sensor can generate a color/black-and-white image, and the image processing unit performs human face recognition; the device and the method improve the imaging quality of the face image, have higher imaging quality of the visible light image no matter in a strong light or backlight environment, simultaneously improve the success rate of face recognition and snapshot and improve the environmental applicability of the face recognition equipment.

Description

Device and method for improving face snapshot recognition rate in complex light environment
Technical Field
The invention relates to the technical field of face recognition, in particular to a device and a method for improving face snapshot recognition rate in a complex light environment.
Background
In recent years, "artificial intelligence" is a new technical trend, and a new way is to find the way in various social fields. With the continuous progress of the artificial intelligence technology and the rapid application permeation of the artificial intelligence technology to the industry, a series of large-scale ecocircles are gradually derived, wherein face recognition is one of typical applications of the artificial intelligence technology.
Traditional face identification equipment generally adopts the visible light daytime, adopts infrared light filling lamp to carry out the light filling night. However, in a complex environment, especially in an environment where light supplement is not reasonable or in a reverse light irradiation environment, the conventional visible light face recognition device cannot obtain a clear face image under the influence of exposure and strong light. And infrared light is short wave spectrum, and can be seriously interfered when infrared imaging is carried out. And further results in a low success rate of face recognition. Under the environment of strong light or backlight, the imaging quality of the visible light image is poor, and the infrared light supplementing mode is simply added.
Disclosure of Invention
The invention aims to solve the problem that the face recognition equipment cannot obtain a clearer face image in a complex light environment, particularly in a strong light and backlight environment, and improve the success rate of face recognition.
The technical scheme adopted by the invention is as follows: the device for improving the face snapshot recognition rate in the complex light environment comprises a lens, a filtering device, a photoelectric sensor, an image processing unit, a main controller, an ambient light brightness sensor and a power supply circuit, wherein the main controller is respectively connected with the ambient light brightness sensor and the filtering device; the power supply circuit is used for supplying power to the whole circuit.
One scheme is that the filtering device is used for filtering visible light spectrum with the wavelength of 390-760 nm and generating a color image through a photoelectric sensor.
In another scheme, the filter device is used for generating a black-and-white image through a photoelectric sensor by passing through an infrared spectrum with the wavelength of 770 nm-1 mm.
Furthermore, the light filtering device consists of an electromagnetic motor, an infrared transmitting glass window and a visible light transmitting glass window; the electromagnetic motor is used for controlling the movement of the infrared-transmitting glass window and the visible light-transmitting glass window and is arranged between the lens and the image processing unit.
Further, the photoelectric sensor and the image processing unit only collect or process color or black and white images with human face characteristics.
The invention also relates to a method for improving the face snapshot recognition rate in the complex light environment, which comprises the following steps:
step S1, the lens takes a snapshot of the face to obtain the required image, and transmits the image to the filter device for filtering;
step S2, feeding back an ambient light value acquired by the ambient light sensor in real time to the main controller;
step S3: receiving the feedback ambient light value, and controlling a filtering device to select infrared or visible light to carry out filtering processing by a main controller;
step S4, receiving the human face image after the filtering processing, converting the optical signal of the human face image into an electric signal by the photoelectric sensor and transmitting the electric signal to the image processing unit;
and step S5, receiving the converted electric signal, and analyzing and processing the electric signal into a required image in real time by the image processing unit to perform face recognition.
The invention has the beneficial effects that:
the device and the method can improve the imaging quality of the face image, have higher imaging quality of the visible light image no matter in a strong light or backlight environment, improve the success rate of face recognition and snapshot and improve the environmental applicability of the face recognition equipment.
Drawings
FIG. 1 is a block diagram of the apparatus for improving the face snapshot recognition rate in a complex light environment according to the present invention;
FIG. 2 is a structural view of the composition of the optical filter device of the present invention;
FIG. 3 is a schematic flow chart of a method for improving the face snapshot recognition rate in a complex light environment according to the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
The embodiment is as follows:
as shown in fig. 1, a device for improving a face snapshot recognition rate in a complex light environment is provided, which includes a lens, a filtering device, a photoelectric sensor, an image processing unit, a main controller, an ambient light brightness sensor, and a power supply circuit, where the main controller is connected to the ambient light brightness sensor and the filtering device, respectively, and in addition, the lens, the filtering device, the photoelectric sensor, and the image processing unit are connected in sequence; the power supply circuit is used for supplying power to the whole circuit.
One scheme is that the filtering device can filter visible light spectrum with wavelength of 390-760 nm, a photoelectric sensor generates a color image, and then the photoelectric sensor and an image processing unit only collect or process the color image with human face characteristics.
In another scheme, the optical filtering device can enable an infrared spectrum with the wavelength of 770 nm-1 mm to pass through, a photoelectric sensor generates a black-and-white image, and then the photoelectric sensor and an image processing unit only acquire or process the black-and-white image with human face characteristics.
As shown in fig. 2, the filter device is composed of an electromagnetic motor, an infrared-transmitting glass window and a visible-light-transmitting glass window; the electromagnetic motor is used for controlling the movement of the infrared-transmitting glass window and the visible light-transmitting glass window and is arranged between the lens and the image processing unit.
As shown in fig. 3, the method for improving the face snapshot recognition rate in the complex light environment has the following process:
the lens takes a snapshot of the human face to obtain a required image, and transmits the image to a light filtering device for light filtering treatment; the ambient light value acquired by the ambient light brightness sensor in real time is fed back to the main controller; receiving the feedback ambient light value, and controlling a filtering device to select infrared or visible light to carry out filtering processing by a main controller; receiving the human face image after the filtering processing, converting an optical signal of the human face image into an electric signal by a photoelectric sensor and transmitting the electric signal to an image processing unit; and receiving the converted electric signal, and analyzing and processing the electric signal into a required image in real time by an image processing unit to perform face recognition.

Claims (6)

1. The device for improving the face snapshot recognition rate in the complex light environment comprises a lens, a filtering device, a photoelectric sensor, an image processing unit, a main controller, an ambient light brightness sensor and a power supply circuit, and is characterized in that the main controller is respectively connected with the ambient light brightness sensor and the filtering device, and in addition, the lens, the filtering device photoelectric sensor and the image processing unit are sequentially connected; the power supply circuit is used for supplying power to the whole circuit.
2. The device for improving the face snapshot recognition rate in the complex light environment as claimed in claim 1, wherein the filtering device is used for filtering out visible light spectrum with wavelength of 390-760 nm, and color image is generated by the photoelectric sensor.
3. The device for improving the face snapshot recognition rate in the complex light environment as claimed in claim 1, wherein the optical filtering device is used for passing through an infrared spectrum with a wavelength of 770nm to 1mm and generating a black and white image through a photoelectric sensor.
4. The device for improving the face snapshot recognition rate in the complex light environment as claimed in claims 1-3, wherein the optical filtering device is composed of an electromagnetic motor, an infrared-transmitting glass window and a visible-light-transmitting glass window; the electromagnetic motor is used for controlling the movement of the infrared-transmitting glass window and the visible light-transmitting glass window and is arranged between the lens and the image processing unit.
5. The apparatus for improving the recognition rate of face snapshot in complex light environment as claimed in claim 1, wherein said photo sensor and image processing unit only collects or processes color or black and white images with human face features.
6. The method for improving the face snapshot recognition rate in the complex light environment is characterized by comprising the following steps of:
step S1, the lens takes a snapshot of the face to obtain the required image, and transmits the image to the filter device for filtering;
step S2, feeding back an ambient light value acquired by the ambient light sensor in real time to the main controller;
step S3: receiving the feedback ambient light value, and controlling a filtering device to select infrared or visible light to carry out filtering processing by a main controller;
step S4, receiving the human face image after the filtering processing, converting the optical signal of the human face image into an electric signal by the photoelectric sensor and transmitting the electric signal to the image processing unit;
and step S5, receiving the converted electric signal, and analyzing and processing the electric signal into a required image in real time by the image processing unit to perform face recognition.
CN202010071057.6A 2020-01-21 2020-01-21 Device and method for improving face snapshot recognition rate in complex light environment Pending CN111199221A (en)

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CN202010071057.6A CN111199221A (en) 2020-01-21 2020-01-21 Device and method for improving face snapshot recognition rate in complex light environment

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Application Number Priority Date Filing Date Title
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CN101571911A (en) * 2008-04-30 2009-11-04 深圳市飞瑞斯科技有限公司 Human face recognition system based on ultraviolet light source
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US20170094141A1 (en) * 2015-09-24 2017-03-30 Intel Corporation Infrared and visible light dual sensor imaging system
CN206711114U (en) * 2017-03-16 2017-12-05 中控智慧科技股份有限公司 A kind of round-the-clock face harvester
CN107578393A (en) * 2017-09-26 2018-01-12 成都国翼电子技术有限公司 A kind of Aerial Images brightness adjusting method based on man-machine interactively
US20190163964A1 (en) * 2016-06-03 2019-05-30 Maxell, Ltd. Imaging apparatus and imaging system

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Publication number Priority date Publication date Assignee Title
CN101571911A (en) * 2008-04-30 2009-11-04 深圳市飞瑞斯科技有限公司 Human face recognition system based on ultraviolet light source
CN201233607Y (en) * 2008-07-28 2009-05-06 汉王科技股份有限公司 Human face recognition device
CN201927051U (en) * 2010-09-30 2011-08-10 深圳市中控生物识别技术有限公司 Face identifying device with function of resisting hard light
US20170094141A1 (en) * 2015-09-24 2017-03-30 Intel Corporation Infrared and visible light dual sensor imaging system
US20190163964A1 (en) * 2016-06-03 2019-05-30 Maxell, Ltd. Imaging apparatus and imaging system
CN206711114U (en) * 2017-03-16 2017-12-05 中控智慧科技股份有限公司 A kind of round-the-clock face harvester
CN107578393A (en) * 2017-09-26 2018-01-12 成都国翼电子技术有限公司 A kind of Aerial Images brightness adjusting method based on man-machine interactively

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