JP7284280B2 - surveillance camera system - Google Patents

Description

The present invention relates to a monitoring camera system for monitoring the vicinity of train doors with camera images.

Ensuring the safety of passengers when getting on and off trains is an important issue for train operations. As part of such safety measures, a vehicle monitoring CCTV (Closed Circuit Television) system has been developed in which a camera attached to the side of a vehicle photographs the vicinity of the door and displays the camera image on the monitor in the driver's cab. For example, see Patent Document 1).

By using such a system, the train driver can confirm the boarding and alighting of passengers on the monitor in the driver's cab when the train stops at a station, and operate the train. In the past, since real-time performance was required for passenger safety monitoring, delay-free analog systems were preferentially used, but in recent years, advances in IP technology have made low-delay transmission possible. , all devices are now connected to the IP network.

Japanese Patent Application Laid-Open No. 2018-113602

When the camera is mounted on the side of the vehicle, normal camera images may not be obtained due to backlight conditions such as sunlight, dust, dirt, mischief by passengers (for example, foreign objects stuck to the lens window), etc. be. As a result, the visibility of the camera image is deteriorated, which may make it difficult for the train driver to confirm the boarding and alighting of passengers. It should be noted that the above image defects are likely to occur when the camera is mounted on the outside of the vehicle, but there is a similar concern when mounting the camera on the inside of the vehicle.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a monitoring camera system capable of suppressing deterioration in the visibility of camera images taken near the door of a vehicle. aim.

In order to achieve the above objects, the present invention configures a monitoring camera system as follows.
That is, the surveillance camera system according to the present invention includes a camera mounted outside a train car for capturing an image of the vicinity of the door of the car, a monitor for displaying the camera image captured by the camera, and features of the camera image. control for determining the visibility of the camera image based on the amount, and instructing the camera to execute image processing for improving the visibility of the camera image when it is determined that the visibility of the camera image has decreased and a device.

Here, the camera may be configured to analyze its own camera image, calculate a feature amount, attach the feature amount to the camera image, and transmit the feature amount.

Further, the control device may be configured to wait for an instruction to execute the image processing until the number of times the visibility of the camera image is determined to have decreased exceeds a predetermined threshold.

Further, the control device may be configured to record information of the determination result when it is determined that the visibility of the camera image has deteriorated.

Further, the control device may be configured to display the need for maintenance of the camera on the monitor based on the information of the determination result.

Advantageous Effects of Invention According to the present invention, it is possible to provide a surveillance camera system capable of suppressing deterioration in the visibility of a camera image taken near the door of a vehicle.

1 is a diagram showing a schematic configuration example of a monitoring camera system according to an embodiment of the present invention; FIG. 1. It is a figure which illustrates the flowchart of the image processing at the time of a station stop by the surveillance camera system of FIG. 3 is a diagram illustrating a flowchart of feature amount processing in the video processing of FIG. 2; FIG. FIG. 4 is a diagram exemplifying a flowchart of high luminance support processing in the feature amount processing of FIG. 3 ; FIG. 4 is a diagram exemplifying a flowchart of low luminance handling processing in the feature quantity processing of FIG. 3 ; 4 is a diagram illustrating a flowchart of haze support processing in the feature amount processing of FIG. 3; FIG. FIG. 4 is a diagram illustrating a histogram of normal video; FIG. 4 is a diagram illustrating a histogram of a hazy image; FIG. 4 is a diagram illustrating a histogram of an image in a high brightness state; FIG. 4 is a diagram illustrating a histogram of an image in a low luminance state; FIG. 2 is a diagram exemplifying a judgment table used for judging a camera state by the monitoring camera system of FIG. 1; FIG. 2 is a diagram showing a display example of a determination result of a camera state by the monitoring camera system of FIG. 1; FIG.

A monitoring camera system according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 shows a schematic configuration example of a vehicle-mounted vehicle monitoring CCTV system, which is a monitoring camera system according to an embodiment of the present invention. FIG. 1 shows a four-car train in which four cars, 1st car 10-1, 2nd car 10-2, 3rd car 10-3, and 4th car 10-4 are connected.

One switching hub 11 is arranged in each vehicle 10-1 to 10-4, and an IP network is constructed by cascading these hubs. A camera 13 is attached to the outer side of each car 10-1 to 10-4 so as to photograph the passengers getting on and off the train, facing the door 12 of the car. That is, the camera 13 is configured to photograph the vicinity of the door.

The first car 10-1 and the fourth car 10-4, which are the leading cars, are provided with monitors 14 for displaying camera images taken by the cameras 13 of the respective cars. A control device 16 for controlling this system (vehicle monitoring CCTV) and a recording device 15 for recording camera images are also installed in the first car 10-1.

The control device 16 includes hardware resources such as a memory and a processor, and reads a program stored in a data storage device such as a hard disk or a flash memory onto the main memory and executes it by the processor, thereby performing various operations described later. It is configured to implement processing. It should be noted that the functions of the control device 16 are not limited to such a configuration implemented by software, and may be implemented by dedicated hardware.

FIG. 2 illustrates a flowchart of video processing when the train stops at a station in the monitoring camera system of this example. When the train stops at the station, the control device 16 performs the following processing. It is assumed that "0" is set as an initial value to the car number counter indicating the vehicle for which the image is to be acquired.

The controller 16 first determines whether or not the door 12 of the train is open (step S11), and if it is confirmed that the door is open, increments the car counter (adds "1") (step S12). ). Next, it is determined whether or not the car number counter indicates car number 5 (step S13). Since car No. 5 does not exist, if the car counter indicates car No. 5 (step S13; Yes), the car counter is cleared (set to "1" in this example) (step S14). That is, the vehicles for which images are to be acquired are looped in the order from car No. 1 to car No. 4.

Next, a camera image is acquired from the camera 13 of the vehicle corresponding to the car number counter (steps S15 to S21). That is, when the car number counter indicates car number 1 (step S15; Yes), the camera image is acquired from the camera 13 of car number 1 10-1 (step S18), and when the car number counter indicates car number 2 (step S18; S16; Yes) acquires a camera image from the camera 13 of car 2 10-2 (step S19), and if the car number counter indicates car 3 (step S17; Yes), acquires a camera image from the camera 13 of car 3 10-3. A camera image is acquired (step S20), and in other cases (step S17; No), a camera image is acquired from the camera 13 of car No. 4 10-4 (step S21).

After obtaining the camera image, the control device 16 executes feature amount processing (step S30), which will be described later. Thereafter, it is determined whether or not the train door 12 is closed (step S23), and if it is not closed (step S23; No), the process returns to incrementing the car counter (step S12). On the other hand, if it can be confirmed that the doors 12 of the train are closed (step S23; Yes), the process ends.

The feature amount processing (step S30) in the video processing of FIG. 2 will be described with reference to the flowchart of FIG.
In the feature amount processing, first, the control device 16 acquires the feature amount of the camera image from the header information of the camera image. In this example, an average luminance value and a luminance gradation width, which are one type of feature quantity relating to the luminance of the entire camera image, are obtained (steps S31 and S32).

The average luminance value is the average luminance value of each pixel forming the camera image. The luminance gradation width is a luminance gradation width (range) in which the frequency of appearance is equal to or higher than a reference value in a histogram of the luminance appearance frequency of each pixel forming the camera image. These feature amounts are calculated by the camera 13 by analyzing its own camera video, and are stored in the header information of the camera video. The calculation of the feature amount is performed by analyzing the camera image before performing image processing for improving visibility (lowering brightness processing, high brightness processing, haze correction processing, etc., which will be described later).

Next, the control device 16 executes high brightness handling processing (step S40), low brightness handling processing (step S60), and haze handling processing (step S80) based on the acquired feature amount of the camera image. The order of executing these processes (steps S40, S60, S80) is arbitrary.

The high brightness handling process (step S40) in the feature quantity process of FIG. 3 will be described with reference to the flowchart of FIG.
In the high-brightness handling process, first, the controller 16 determines whether the low-brightness function of the camera 13 is ON or OFF (step S41). The brightness reduction function is a function for executing brightness reduction processing for reducing the brightness value of the entire video (all pixels) by image processing, and has been commercialized in various methods. Since the brightness reduction function is normally OFF, the processing in that case will be described first, and then the processing when the brightness reduction function is ON will be described.

If the brightness reduction function is not ON (step S41; No), the control device 16 determines whether the condition that the average brightness value is larger than A1 and smaller than A2 (A1<average brightness value<A2) ( step S42). A1 and A2 are preset thresholds for determining whether the overall brightness of the video is abnormally high, as shown in the histogram example of FIG. If this condition is satisfied, the overall brightness of the image is abnormally high, indicating that the image is overexposed.

When A1<average luminance value<A2 (step S42; Yes), that is, when the camera image is in a high luminance state, the control device 16 executes the following processing.
First, the high luminance counter is incremented ("1" is added) (step S43). The high-luminance counter counts the continuation of the high-luminance state, and is set to "0" as an initial value.

Next, it is determined whether the condition that the value of the high luminance counter is greater than D1 (counter value>D1) is satisfied (step S44). D1 is a preset threshold value for providing a time allowance so that ON (activation) and OFF (stop) of the brightness reduction function are not repeated in a short period of time. If the value of the high-brightness counter is greater than D1, after performing high-brightness warning display processing (step S45), high-brightness recording processing (step S46), and low-brightness ON processing (step S47), " 0" is set for initialization (step S48).

In the high luminance warning display process (step S45), the control device 16 causes the monitor 13 to display that the average luminance of the image is high. In the high-brightness recording process (step S46), the control device 16 stores the information indicating that the average brightness of the video is high as an event, and stores the event occurrence time and camera ID (event source video) in its own storage area. is recorded together with the identification information of the camera that generated it). In the brightness reduction ON process (step S47), the control device 16 transmits a control signal for turning on the brightness reduction function to the camera 13 that generated the event source video. As a result, the camera 13 whose camera image is in a high-brightness state starts the low-brightness processing for the camera image.

If the brightness reduction function is ON (step S41; Yes), the control device 16 determines whether the condition that the average brightness value is larger than A1 and smaller than A2 (A1<average brightness value<A2) is satisfied ( step S52). In this example, the same thresholds A1 and A2 used in step S42 are used in step S52, but different thresholds A1' and A2' may be used.

If not A1<average luminance value<A2 (step S52; No), that is, if the camera image is in a non-high luminance state, the control device 16 executes the following processing.
First, the non-high luminance counter is incremented ("1" is added) (step S53). The non-high brightness counter counts the continuation of the non-high brightness state, and is set to "0" as an initial value.

Next, it is determined whether the condition that the value of the non-high luminance counter is greater than D2 (counter value>D2) is satisfied (step S54). D2 is a preset threshold for providing a time allowance so that the brightness reduction function is not repeatedly turned on and off in a short time. D2 may have the same value as D1, or may have a different value from D1. If the value of the non-high brightness counter is greater than D2, the non-high brightness recording process (step S56) and the low brightness OFF process (step S57) are performed, and then the non-high brightness counter is set to "0" for initialization. (step S58).

In the non-high-brightness recording process (step S56), the control device 16 records information indicating that the average brightness of the video is no longer high-brightness as an event in its own storage area together with the event occurrence time, the occurrence camera ID, and the like. . In the brightness reduction OFF process (step S57), the control device 16 transmits a control signal for turning OFF the brightness reduction function to the camera 13 that generated the source image of the event. As a result, in the camera 13 whose camera image is no longer in a high-brightness state, the low-brightness processing for the camera image is stopped.

The low luminance handling process (step S60) in the feature quantity process of FIG. 3 will be described with reference to the flowchart of FIG.
In the low luminance handling process, first, the control device 16 determines whether the high luminance function of the camera 13 is ON or OFF (step S61). The brightness enhancement function is a function of executing brightness enhancement processing for increasing the brightness value of the entire video (all pixels) by image processing, and has been commercialized in various ways. Since the brightness enhancement function is normally OFF, the processing in that case will be described first, and then the processing when the brightness enhancement function is ON will be described.

If the brightness enhancement function is not ON (step S61; No), the control device 16 determines whether the condition that the average brightness value is larger than B1 and smaller than B2 (B1<average brightness value<B2) ( step S62). B1 and B2 are preset thresholds for determining whether the overall brightness of the video is abnormally low, as shown in the histogram example of FIG. When this condition is satisfied, it indicates that the overall brightness of the image is abnormally low and the image is dark.

When B1<average luminance value<B2 (step S62; Yes), that is, when the camera image is in a low luminance state, the control device 16 executes the following processing.
First, the low luminance counter is incremented ("1" is added) (step S63). The low-luminance counter counts the continuation of the low-luminance state, and is set to "0" as an initial value.

Next, it is determined whether the condition that the value of the low luminance counter is greater than E1 (counter value>E1) is satisfied (step S64). E1 is a preset threshold for providing a time allowance so that the ON (activation) and OFF (stop) of the high brightness function are not repeated in a short time. If the value of the low-luminance counter is greater than E1, the low-luminance warning display process (step S65), the low-luminance recording process (step S66), and the high-luminance ON process (step S67) are executed, and then the low-luminance counter is set to " 0" is set for initialization (step S68).

In the low luminance warning display process (step S65), the control device 16 causes the monitor 13 to display that the average luminance of the image is low. In the low-luminance recording process (step S66), the control device 16 stores the information indicating that the average luminance of the video is low as an event, and stores the event occurrence time and camera ID (event source video) in its own storage area. is recorded together with the identification information of the camera that generated it). In the brightness enhancement ON process (step S67), the control device 16 transmits a control signal for turning on the brightness enhancement function to the camera 13 that generated the source image of the event. As a result, in the camera 13 whose camera image is in a low-brightness state, the brightness enhancement process for the camera image is started.

If the brightness enhancement function is ON (step S61; Yes), the control device 16 determines whether the condition that the average brightness value is larger than B1 and smaller than B2 (B1<average brightness value<B2) ( step S72). In this example, the same thresholds B1 and B2 used in step S62 are used in step S72, but different thresholds B1' and B2' may be used.

If not B1<average luminance value<B2 (step S72; No), that is, if the camera image is in a non-low luminance state, the control device 16 executes the following processing.
First, the non-low luminance counter is incremented ("1" is added) (step S73). The non-low luminance counter counts the continuation of the non-low luminance state, and is set to "0" as an initial value.

Next, it is determined whether the condition that the value of the non-low luminance counter is greater than E2 (counter value>E2) is satisfied (step S74). E2 is a preset threshold for providing a time allowance so that the high brightness function is not repeatedly turned on and off in a short period of time. E2 may have the same value as E1, or may have a different value from E1. If the value of the non-low brightness counter is greater than E2, after performing the non-low brightness recording process (step S76) and the high brightness OFF process (step S77), the non-low brightness counter is set to "0" for initialization. (step S78).

In the non-low luminance recording process (step S76), the control device 16 records information indicating that the average luminance of the image is no longer low luminance as an event in its own storage area together with the event occurrence time, camera ID, etc. . In the brightness enhancement OFF process (step S77), the control device 16 transmits a control signal for turning OFF the brightness enhancement function to the camera 13 that generated the source image of the event. As a result, in the camera 13 whose camera image is no longer in the low-brightness state, the brightening process for the camera image is stopped.

The haze handling process (step S80) in the feature quantity process of FIG. 3 will be described with reference to the flowchart of FIG.
In the haze handling process, first, the controller 16 determines whether the haze correction function of the camera 13 is ON or OFF (step S81). The haze correction function is a function that executes haze correction processing to correct the gradation by image processing so that the histogram shown in FIG. 8 becomes the histogram shown in FIG. . Since the haze correction function is normally OFF, the processing in that case will be described first, and then the processing when the haze correction function is ON will be described.

If the haze correction function is not ON (step S81; No), the control device 16 determines whether the condition that the luminance gradation width is smaller than C (luminance gradation width<C) is satisfied (step S82). The brightness gradation width is calculated, for example, by subtracting the minimum value L1 from the maximum value L2 of brightness whose appearance frequency exceeds H1 (see the histogram examples in FIGS. 7 and 8). C is a preset threshold value for determining whether or not the image is in a state in which the image is fogged (hereinafter referred to as a "haze state"). The foggy state occurs not only when there is fog, but also when the lens window of the camera is dirty, or when the sun is backlit. When this condition is satisfied, that is, when the luminance gradation width is narrow as shown in the histogram example of FIG. 8, it indicates that the image is in a hazy state.

If the brightness gradation width<C (step S82; Yes), that is, if the camera image is in a hazy state, the control device 16 performs the following processing.
First, the haze state counter is incremented ("1" is added) (step S83). The hazy state counter counts the continuation of the hazy state, and is set to "0" as an initial value.

Next, it is determined whether the condition that the value of the haze state counter is greater than F1 (counter value>F1) is satisfied (step S84). F1 is a preset threshold for providing a time allowance so that the haze correction function is not repeatedly turned on (activated) and turned off (stopped) in a short time. If the value of the haze state counter is greater than F1, the haze state counter is initialized by setting "0" (step S86) and the haze correction ON process (step S87). S88).

In the foggy state recording process (step S86), the control device 16 stores information indicating that the image is in a foggy state as an event, and stores the event occurrence time and the occurrence camera ID (the image that generated the event source video) in its own storage area. camera identification information), etc. In the haze correction ON process (step S87), the control device 16 transmits a control signal for turning ON the haze correction function to the camera 13 that generated the source image of the event. As a result, the camera 13 whose camera image is in a haze state starts the haze correction processing for the camera image.

If the haze correction function is ON (step S81; Yes), the control device 16 determines whether the condition that the brightness gradation width is smaller than C (brightness gradation width<C) is satisfied (step S92). In this example, the same threshold as the threshold C used in step S82 is used in step S92, but a different threshold C' may be used.

If the brightness gradation width<C is not satisfied (step S92; No), that is, if the camera image is in a non-haze state, the control device 16 executes the following processing.
First, the non-haze state counter is incremented ("1" is added) (step S93). The non-haze state counter counts the continuation of the non-haze state, and is set to "0" as an initial value.

Next, it is determined whether the condition that the value of the non-haze state counter is greater than F2 (counter value>F2) is satisfied (step S94). F2 is a preset threshold for providing a time allowance so that the haze correction function is not repeatedly turned on and off in a short period of time. F2 may have the same value as F1, or may have a different value from F1. If the value of the non-haze state counter is greater than F2, the haze correction OFF recording process (step S56) and the haze correction OFF process (step S97) are performed, and then the non-haze state counter is initialized by setting "0". (step S98).

In the haze correction OFF recording process (step S96), the control device 16 records information indicating that the image is not in a haze state as an event in its own storage area together with the event occurrence time, occurrence camera ID, and the like. In the haze correction OFF process (step S97), the control device 16 transmits a control signal for turning off the haze correction function to the camera 13 that generated the source image of the event. As a result, the camera 13 whose camera image is no longer in the haze state stops the haze correction processing for the camera image.

As described above, when the train stops at a station, the control device 16 determines image defects (decrease in visibility) based on the feature amount of the image captured by the camera 13, and improves visibility according to the detected image defects. A control signal instructing execution of processing is transmitted to the camera 13 .

After that, when the train operation is finished and the train is maintained, the control device 16 performs recording by the above-described high luminance/non-high luminance recording, low luminance/non-low luminance recording, haze correction ON/OFF recording, and the like. Based on the received information, the state of the camera 13 is determined, and the result of the determination is displayed on the monitor 14 and notified to maintenance personnel. Note that the control device 16 may cause the monitor 14 to display information itself recorded by high-luminance/non-high-luminance recording, low-luminance/non-low-luminance recording, haze correction ON/OFF recording, and the like.

FIG. 11 exemplifies a judgment table used for judging the camera state. In the determination table of FIG. 11, the camera state is determined to be "dirty" when the haze correction function is ON for a long time, and the camera state is determined to be "lens window closed" when the brightness enhancement function is ON for a long time. If the brightness reduction function is ON for a long time, the camera state is determined to be "camera abnormal", and if none of the above applies, the camera state is determined to be "normal". That is, the control device 16 of this example calculates the ON state time for each of the haze correction function, the brightness enhancement function, and the brightness reduction function, and determines whether or not the ON state time is equal to or greater than a predetermined threshold value. A state of the camera 13 is determined.

FIG. 12 shows a display example of the determination result of the camera state. As shown in the figure, the monitor 14 displays information indicating the state of each of the cameras 13 mounted on the train (that is, information indicating the need for maintenance). Therefore, by checking the display of the monitor 14 during maintenance of the train, maintenance personnel can easily know what kind of camera state each of the cameras 13 mounted on the train is and whether maintenance is necessary. can be recognized.

As described above, the surveillance camera system of this example includes the camera 13 attached to the outside of the vehicle 10 of the train and capturing an image of the vicinity of the door of the vehicle 10, the monitor 14 displaying the camera image captured by the camera 13, The visibility of the camera image is determined based on the feature amount of the camera image, and if it is determined that the visibility of the camera image has deteriorated, image processing (lower luminance processing, higher luminance and a control device 16 for instructing the camera 13 to perform image processing, haze correction processing, etc.).

Therefore, according to the monitoring camera system of the present embodiment, the camera 13 automatically performs image processing corresponding to the deterioration of the visibility in response to the deterioration of the visibility of the camera image taken near the door of the vehicle. . As a result, it is possible to prevent the visibility of the camera image from deteriorating and hindering the train driver's work of confirming the boarding and alighting of passengers.

Further, in the monitoring camera system of this example, the camera 13 analyzes its own camera image to calculate a feature amount, and transmits the feature amount attached to the camera image. Therefore, since the feature amount can be calculated from the camera image (original camera image) before image processing for improving the visibility of the camera image is performed, there is no concern that the feature amount of the camera image will change due to the image processing. Also, the processing load on the control device 16 can be reduced.

Further, in the monitoring camera system of this example, the control device 16 instructs execution of image processing for improving the visibility of the camera image until the number of times it is determined that the visibility of the camera image has deteriorated exceeds a predetermined threshold value. It is configured to wait for Therefore, it is possible to prevent the start and end of image processing from being repeated in a short period of time.

Further, in the monitoring camera system of this example, when the control device 16 determines that the visibility of the camera image has deteriorated, the information of the determination result is recorded. Therefore, for example, it becomes possible for maintenance personnel to check the deterioration of the visibility of the camera image after the fact (after the train stops, etc.).

In the monitoring camera system of this example, the control device 16 is configured to display the need for maintenance of the camera 13 on the monitor 14 based on the information of the determination result. Therefore, for example, maintenance personnel can easily recognize the need for maintenance of the camera 13, such as cleaning the lens window, simply by checking the display on the monitor 14. FIG.

In the above description, a four-car train is used as an example, but it goes without saying that the number of trains is arbitrary. Also, in the above description, the control device 16 has the function of controlling the camera 13 based on the feature amount of the camera image. may be configured. Further, in the above description, the camera 13 is configured to perform image processing for improving the visibility of the camera image, but the image processing may be performed by another device (for example, the monitor 14, the recording device 15, or the control device 16). may be configured to be performed by

Although the present invention has been described in detail above, it goes without saying that the present invention is not limited to the configuration described above, and may be realized by configurations other than those described above. For example, the present invention can be applied to various types of trains, such as monorails and streetcars, in addition to trains running on railroads.

Further, the present invention provides, for example, a method or system for executing processing according to the present invention, a program for realizing such a method or system by a computer having hardware resources such as a processor and a memory, and such a program. It is also possible to provide it as a storage medium for storing.

INDUSTRIAL APPLICABILITY The present invention can be used in a surveillance camera system that monitors the vicinity of train doors with camera images.

10-1, 10-2, 10-3, 10-4: vehicle, 11: switching hub, 12: door, 13: camera, 14: monitor, 15: recording device, 16: control device

Claims (5)

A camera attached to the outside of a train car and imaging the vicinity of the door of the car;
a monitor that displays a camera image captured by the camera;
Image processing for performing determination processing for determining the visibility of the camera image based on the feature amount of the camera image, and improving the visibility of the camera image when it is determined that the visibility of the camera image has decreased. and a control device that instructs the camera to execute
The camera has a function of performing the image processing on the camera image according to an instruction from the control device, and a function of analyzing the camera image before the image processing and calculating a feature amount, and performing the image processing. When transmitting the camera image obtained by performing the image processing, the feature amount of the camera image before the image processing is attached and transmitted,
While causing the camera to perform the image processing, the control device transmits the camera image accompanying the camera image that has undergone the image processing, based on the feature amount of the camera image before the image processing. , a vehicle-mounted monitoring camera system characterized by performing the determination process . In the surveillance camera system according to claim 1,
The vehicle-mounted monitoring camera system , wherein the image processing includes brightness reduction processing, brightness enhancement processing, or haze correction processing . In the surveillance camera system according to claim 1 or claim 2,
The surveillance camera system, wherein the control device waits for an instruction to execute the image processing until the number of times the visibility of the camera image is determined to have decreased exceeds a predetermined threshold. The surveillance camera system according to any one of claims 1 to 3,
A monitoring camera system, wherein, when it is determined that the visibility of the camera image has deteriorated, the control device records information of the determination result. In the surveillance camera system according to claim 4,
The surveillance camera system, wherein the control device causes the monitor to display the necessity of maintenance of the camera based on the information of the determination result.

Images