KR20150087039A

KR20150087039A - Network Camera System with Self-Diagnosis and Self-Diagnosis Method of Network Camera System

Info

Publication number: KR20150087039A
Application number: KR1020140007421A
Authority: KR
Inventors: 어운종
Original assignee: 주식회사 에스원
Priority date: 2014-01-21
Filing date: 2014-01-21
Publication date: 2015-07-29

Abstract

The present invention relates to a network camera system. The network camera system includes: a lens unit; a sensor unit, an IR LED unit; an image processing unit; a power supply unit supplying power to the sensor unit, IR LED unit, image processing unit, and terminal; an inspection sensor which senses the input voltage and consumption current of the power supply unit, IR LED unit, image processing unit or sensor unit respectively and converts the sensing values to a digital signal to transmit the digital signal to an inspection control unit; the inspection control unit which determines whether the current and voltage values are normal or not by comparing the respective current and voltage values of the sensor unit, IR LED unit, image processing unit, and power supply unit supplied from the power supply unit and sensed by the inspection sensor unit with the reference voltage and current values for the sensor unit, IR LED unit, image processing unit, and power supply unit stored in a memory in advance and transmitting the determination to the terminal through Ethernet or Wi-Fi communication; and a terminal such as a smartphone or NVR , which exchanges the image information with the image processing unit through the Ethernet communication and displays the normality determination result received from the inspection control unit through a display unit.

Description

Technical Field [0001] The present invention relates to a network camera system having a self-diagnosis function and a self-

The present invention relates to a network camera equipped with a self-diagnosis function and receiving diagnosis results. In the conventional art, it is impossible to accurately determine whether an abnormality exists in a network camera by visually inspecting or simply detecting external voltages and currents. Accordingly, the present invention detects voltages and currents in a spiritual processor, a sensor unit, And determining whether or not an abnormality has occurred.

The prior art related to the present invention is disclosed in Korean Patent Laid-Open Publication No. 10-2012-0131279 (published on December 5, 2012). 1 is a block diagram of the self-diagnosis system of the conventional home appliance. 1, the self-diagnosis system of the home appliance includes a home appliance 10 capable of self-diagnosis, a device 50 for recognizing and transmitting the self-diagnosis information of the home appliance 10, And a service server 60 that analyzes the self-diagnosis information transmitted from the device 50 and provides appropriate service information. The home electric appliance (10) self-diagnoses the operation state and the failure state of the home electric appliance (10) by using a built-in self-diagnosis program and displays information self-diagnosed on the operation state and the failure state of the home appliance (16). &Lt; / RTI > Here, the home electric appliance 10 includes all kinds of electronic appliances such as a washing machine, a refrigerator, a microwave oven, a TV, and an air conditioner, and the self-diagnosis program built in the home appliance 10 performs a predetermined operation And self-diagnoses the operation state and the status information of various faults during the execution. Such a self-diagnosis program can use a dedicated application in the household appliance 10. [ The display unit 16 is a light emitter in the form of an LED, an LCD, or an organic EL. The display unit 16 may include a 7-segment, a QR code (Quick Response Code) , An LED or a morse code of a sound type (Morse Code). Further, the device 50 recognizes the self-diagnosis information displayed by the 7-segment, QR code and the Morse code type image of the LED or sound type on the display unit 16 of the home appliance 10, (E.g., a communication terminal, a smart phone, or the like) capable of connecting to a network and having a camera. That is, the device 50 collects 7-segment, QR code and self-diagnosis information, which is represented by an image in the form of Morse code of LED or sound type, through the camera, and transmits the collected self-diagnosis information to the service server 60 . In addition, the device 50 can remove the noise from the 7-segment, QR code and the Morse code image of the LED or sound format prior to transmitting the self-diagnostic information to the service server 60, So that the self-diagnosis information can be extracted. In addition, the device 50 transmits and receives information to and from the service server 60 using a secure communication protocol. The network for transmitting and receiving information using the secure communication protocol includes a ZigBee communication network, a WiFi communication network, a Bluetooth communication network, and a mobile communication network. Therefore, the device 50 collects 7-segment, QR code and self-diagnostic information images displayed in the form of Morse code of LED or sound type on the display unit 16 of the home appliance 10 through the camera, Extracts accurate self-diagnostic information by removing noise using dedicated applications in 7-segment, QR codes and morse code images of LED or sound formats. And transmits the self-diagnosis information extracted using the secure communication protocol to the service server 60 to the service server 60. The service server 60 analyzes the self-diagnosis information transmitted from the device 50 and transmits information on the result of the diagnosis of the operating state and the failure status of the home appliance 10 to the device 50 or service To the center (70). The method of transmitting the self-diagnosis result information from the service server 60 to the user device 50 or the service center 70 is the same as the method of transmitting the self-diagnosis result information of the home appliance 10 via the device 50 to the service server 60 The user information of the device 50 is also received. And analyzes the received user information to extract user-customized information. User-customized information is used to determine whether the user is a self-repairable user, including the age, gender, occupation, and area of interest of the user analyzed through the user information. Generally, in the case of a man in his 20s to 30s, he / she is often accustomed to the machine. Therefore, the service server 60 judges whether the user is self-repairable according to the user-customized information extracted through the user information, The service information suitable for the troubleshooting of the home appliance 10 is transmitted to the user's device 50 while the result information for diagnosing the state of the home appliance 10 is transmitted to the device 50. On the other hand, The service server 60 determines whether the user can not repair itself according to the user customized information extracted through the user information. If it is determined that the user is not self-repairable, That is, service information suitable for troubleshooting of the home appliance 10, to the service center 70, Transmitting to. In addition, the service server 60 stores the service information, which is the self-diagnosis result information of the home appliance 10, and manages the stored service information so that it can be used for the after-sales service.

The self-diagnosis function of the conventional home appliance as described above is based on a built-in diagnostic program, and thus there is a problem that the self-diagnosis of the home appliance by the diagnostic program is not specific. In addition, the self-diagnosis function through the above-described diagnostic program has a problem in that it is difficult to use because the cost is low and the possibility of diagnosis error is high. SUMMARY OF THE INVENTION Accordingly, the present invention has been made in an effort to solve the above problems and it is an object of the present invention to provide a network camera system and a network camera self- And a sensor for sensing the current in real time to accurately determine whether or not it is normal. In addition, the normal state of each component is transmitted to the smart phone and the NVR so that the user can easily grasp the normal state of the network camera in real time.

The network camera system includes a lens unit, a sensor unit, an IR LED unit, an image processing unit, a power source unit for supplying power to the sensor unit, the IR LED unit, and the image processing unit. A sensor unit for sensing an input voltage and a consumption current of the power source unit, the IR LED unit, the image processing unit or the sensor unit, a sensor unit, an IR LED unit, an image processing unit, Is compared with the reference voltage and the reference current value of the sensor unit or the IR LED unit, the image processing unit, or the power source unit stored in the memory to determine whether the voltage and the current are normal, and transmitted to the terminal using Ethernet communication or WIFI communication And transmits the image information to the image processing unit via the Ethernet communication, And a terminal such as a smart phone or an NVR that receives the determination result of the normal state and displays the result through the display unit. In the network camera self-diagnosis method equipped with the self-diagnosis function of the present invention, the inspection sensor installed in the network camera senses the voltage and current of the sensor unit or the IR LED unit or the image processing unit or the power source unit constituting the network camera, (S11) that the inspection control unit of the network camera transmits the voltage and current signals received from the check sensor unit to the sensor unit or the IR LED unit or the reference voltage of the image processing unit or the power source unit, (S12) judging whether or not it is normal compared with a reference consumption current, and transmitting a normal determination result to the terminal through the communication module (S13). In step S12, the reference voltage and the reference current are based on threshold values of the sensor unit, the IR LED unit, the image processing unit, or the power supply unit. In addition, the communication module in the step S13 is an RJ45 Ethernet communication or a WIFI communication. In addition, in step S13, the terminal is a smart phone or an NVR.

According to the present invention configured as described above, the sensor unit, the image processing unit, the IR LED unit, and the power source unit constituting the network camera can be properly received by a smart phone or an NVR without additional equipment. In addition, the present invention has the effect of accurately determining whether each configuration is normal and performing maintenance. In addition, the present invention has an effect that administrators can receive a network camera in real time from a remote location to a smart phone.

1 is a block diagram of a self-diagnosis system of a conventional home appliance,
FIG. 2 is an overall configuration diagram of a network camera system equipped with the self-diagnosis function of the present invention,
FIG. 3 is a network camera configuration diagram applied to the present invention,
4 is a power supply configuration diagram applied to the present invention,
5 is a configuration diagram of a check sensor unit applied to the present invention,
6 is a configuration diagram of a check control part applied to the present invention,
FIG. 7 is a block diagram of a video processing unit applied to the present invention,
8 is a terminal configuration diagram applied to the present invention.
9 is a control flowchart for a network camera self-diagnosis method equipped with a self-diagnosis function.

The network camera system equipped with the self-diagnosis function of the present invention and the network camera self-diagnostic method using the same will be described with reference to FIG. 2 to FIG. 9.

Fig. 2 is an overall configuration diagram of a network camera system equipped with the self-diagnosis function of the present invention. 2, the network camera system equipped with the self-diagnosis function of the present invention includes a check sensor unit for sensing input voltage and current consumption of a power source unit, an IR LED unit, an image processing unit or a sensor unit, converting the current into a digital signal, A network camera configured by comparing each voltage and current received by the check sensor unit with a reference voltage and a reference current stored in the memory to determine whether the power unit or the IR LED unit or the image processing unit or the sensor unit is normal, 100, and a terminal 200 receiving the determination result of the power source unit, the IR LED unit, the image processing unit, or the sensor unit from the network camera through the communication network 150 and displaying the result through the display unit.

3 is a configuration diagram of a network camera equipped with the self-diagnosis function of the present invention. 3, the network camera 100 equipped with the self-diagnosis function of the present invention includes a lens unit 110, a sensor unit 120, an IR LED unit 140, an image processing unit 130, An IR LED unit 140, a power supply unit 150 for supplying power to the image processing unit 130, an input voltage of the power supply unit 150 or the IR LED unit 140 or the image processing unit 130 or the sensor unit 120, A check sensor unit 160 that senses a current consumption and converts the current into a digital signal and transmits the digital signal to a check control unit and a sensor unit 120 or a sensor unit 120 that receives power from the power source unit 150, The IR LED unit 140, the image processing unit 130, the IR LED unit 140, the image processing unit 130, and the power source unit 150, And the reference voltage and the reference current value of the power supply unit 150 to determine whether or not it is normal, and determines whether the terminal is normal or not by using Ethernet communication or WIFI communication, A smart control unit 170 for transmitting and receiving image information through the Ethernet communication with the image processing unit 130 and receiving a result of the determination of the normal state from the inspection control unit 170 and displaying the image information through the display unit, And a terminal 200 such as a cellular phone or an NVR.

4 is a power supply configuration diagram applied to the present invention. The power supply unit 150 according to the present invention includes a power input unit 151 and a power conversion unit 153 for converting input voltages into various voltages and supplying the voltages to a sensor unit, an image processing unit, and an IR LED unit It is.

5 is a configuration diagram of a check sensor part according to the present invention. 5, the inspection sensor unit 160 includes a sensor unit 120, an image processing unit 130, an IR LED unit 140, and a power supply unit 140. The sensor unit 120, the IR LED unit 140, And a current sensor 164 for sensing current consumption of the sensor unit 120, the image processing unit 130, the IR LED unit 140, and the power source unit 150, respectively, And an A / D converter 166 for converting an analog signal of the voltage sensor and the current sensor into a digital signal and transmitting the digital signal to the check control unit.

FIG. 6 is a configuration diagram of a check control part applied to the present invention. FIG. 6, the inspection control unit 170 receives the voltage and current of the sensor unit 120, the image processing unit 130, the IR LED unit 140, or the power source unit 150 from the A / D converter 166, A control unit 172 for receiving a current signal and comparing it with a pre-stored reference voltage and a reference current value stored in the memory 174 to determine whether it is normal, and a control unit 172 for storing a reference voltage and a reference current value, A memory 174, and a communication module 176 for transmitting a result of the determination of whether or not the terminal 200 is normal. The communication module 176 may be an Ethernet communication module or a WIFI communication module.

7 is a block diagram of a video processing unit applied to the present invention. 7, the image processing unit 130 according to an exemplary embodiment of the present invention includes a memory unit 134 for storing the digital image information received from the sensor unit 120 and an image control unit 130 for controlling the image information to be transmitted to the terminal 200 A memory unit 134 for storing the operating system and received image information, and a transmission / reception module 136 for transmitting the image information to the terminal 200. The transmission / reception module 136 is an RJ45 Ethernet communication.

8 is a terminal configuration diagram applied to the present invention. 8, the terminal 200 according to the present invention includes an interface unit 210 as a smart phone or an NVR, an inspection data transmission / reception unit 220 for transmitting / receiving data to / from the inspection control unit, and a display unit will be.

9 is a control flowchart for a network camera self-diagnosis method equipped with a self-diagnosis function. In the network camera self-diagnosis method equipped with the self-diagnosis function in FIG. 9, the inspection sensor installed in the network camera senses the voltage and current of the sensor unit or the IR LED unit, the image processing unit or the power source unit constituting the network camera, (S11) for transmitting the voltage and current signals received from the inspection sensor unit to the sensor unit or the IR LED unit or the image processing unit or the power source unit, (S12) judging whether or not it is normal compared with a reference consumption current, and a step (S13) of causing the inspection control unit to transmit a normal determination result to the terminal through the communication module . In step S12, the reference voltage and the reference current are based on threshold values of the sensor unit, the IR LED unit, the image processing unit, or the power supply unit. In addition, the communication module in the step S13 is an RJ45 Ethernet communication or a WIFI communication. In addition, in step S13, the terminal is a smart phone or an NVR.

10: home appliance, 16: display unit,
50: device, 60: service server,
100: a network camera, 110: a lens unit,
120: sensor unit, 130: image processing unit,
140: IR LED unit, 155: communication network,
160: check sensor unit, 170: check control unit,
200: terminal

Claims

A network camera system equipped with a self-diagnosis function for determining whether or not a network camera is normal,
In the network camera system equipped with the self-diagnosis function,
An inspection sensor unit 160 for sensing an input voltage and current consumption of the power source unit, the IR LED unit, the image processing unit, or the sensor unit, converting the current into a digital signal, and transmitting the digital signal to the inspection control unit, A network camera 100 configured to determine whether the power source unit, the IR LED unit, the image processing unit, or the sensor unit is normal compared with the pre-stored reference voltage and the reference current, and transmit the result to the terminal;
And a terminal 200 receiving a result of the determination whether the power source unit, the IR LED unit, the image processing unit, or the sensor unit is normal or not, from the network camera through the communication network 150, and displaying the result through the display unit. Installed network camera system.

The method according to claim 1,
The check sensor unit (160)
A voltage sensor (not shown) for sensing the voltages of the sensor unit 120, the image processing unit 130, the IR LED unit 140, and the power source unit 150 supplied by the voltage converted by the power conversion unit 153 of the power source unit 150 162;
A current sensor 164 for sensing current consumption of the sensor unit 120, the image processing unit 130, the IR LED unit 140, and the power source unit 150;
And an A / D converter (166) for converting an analog signal of the voltage sensor and the current sensor into a digital signal and transmitting the converted digital signal to a check control unit.

The method according to claim 1,
The maintenance control unit 170,
And receives the voltage and current signals from the sensor unit 120 or the image processing unit 130 or the IR LED unit 140 or the power source unit 150 from the A / D converter 166 of the control unit The control unit 172 compares the reference voltage and the reference current value stored in the memory unit 171 with the previously stored reference voltage and the reference current value.
A memory (174) for storing a reference voltage and a reference current value which are thresholds for determining whether or not it is normal;
And a communication module (176) for transmitting a determination result of the normal state to the terminal (200).

The method according to claim 1,
The power supply unit 150,
A power input unit 151;
And a power conversion unit (153) for converting an input voltage into various voltages.

The method of claim 3,
The communication module includes:
An Ethernet communication module, or a WIFI communication module.

A network camera self-diagnosis method equipped with a self-diagnosis function for determining whether or not a network camera is normal,
The network camera self-diagnosis method equipped with the self-
A step S11 of sensing a voltage and a current of a sensor unit, an IR LED unit, an image processing unit or a power source unit constituting a network camera, converting the sensed voltage and current into a digital signal, and transmitting the digital signal to a check control unit;
The check control unit configured in the network camera compares the voltage and current signals received from the check sensor unit with the reference voltage and the reference consumption current of the sensor unit or the IR LED unit or the image processing unit or the power source unit stored in the memory, (S12);
And a step (S13) of causing the inspection control unit to transmit a normal determination result to the terminal through the communication module to display the network transmission result (S13).

The method according to claim 6,
The communication module includes:
An Ethernet communication module, or a WIFI communication module.

8. The method of claim 7,
The terminal comprises:
Wherein the network camera is a smart phone or an NVR.

A network camera (100) equipped with a self-diagnosis function for communicating with a terminal owned by a user to determine whether the camera itself is normal and transmitting the result,
In the network camera equipped with the self-diagnosis function,
A camera lens unit 110;
A sensor unit 120 for capturing an image;
An IR LED unit 140;
An image processing unit 130 for processing the photographed image;
A power supply unit 150 for supplying power to the sensor unit 120, the IR LED unit 140, and the image processing unit 130;
An inspection sensor unit 160 for sensing an input voltage and current consumption of the power source unit 150 or the IR LED unit 140 or the image processing unit 130 or the sensor unit 120 and converting the sensed current into a digital signal and transmitting the digital signal to the inspection control unit;
And the voltage of each of the sensor unit 120 or the IR LED unit 140 or the image processing unit 130 or the power source unit 150 received from the check sensor unit 160 by receiving power from the power source unit 150, The current value is compared with the reference voltage and reference current values of the sensor unit 120, the IR LED unit 140, the image processing unit 130, and the power supply unit 150 stored in the memory, And a check control unit (170) for transmitting the data to the terminal (200) by using the communication.