JPH02187690A - Human body detection device - Google Patents

Abstract

PURPOSE:To surely discriminate the intrusion of a human body by having total >=3 detecting sensors disposed along the two direction; the moving direction and height direction of the human body and previously set recognition patterns for detecting the human body. CONSTITUTION:A program 6 judges that detection signals are not the detection of the human body by the recognition patterns for human body detection stored in a memory 4 if the signals are not simultaneously outputted within a specified period of time when the detection signals of a prescribed level are inputted form the detecting sensor 2c to a computer device 3. The program distinguishes the intrusion of the human body or not by discriminating whether there are the outputs from the detecting sensor 2c or not within the specified time when the detection signals are simultaneously outputted from the detecting sensors 2a, 2b. Namely, the recognition patterns for human body detection are previously set by the output order of the respective sensors relating to the moving direction and the height direction and the human body is exactly detected by comparing these patterns and the actual patterns of the sensor outputs.

Description

[Detailed Description of the Invention] [Field of Industrial Application] The present invention relates to a human body detection device that detects the intrusion of a human body into an intrusion monitoring area, and particularly to a human body detection device that can reliably prevent malfunctions. It is related to.

[Conventional technology]

When monitoring a certain area using infrared rays to prevent theft, etc., malfunctions may occur if the radiant temperature of the monitoring area is not clearly distinguished whether it has changed due to the human body being monitored or due to other causes. becomes.

For this reason, two detection elements are differentially connected as a detection sensor, two adjacent monitoring areas are created by the two detection elements, and the difference in signals due to radiation temperature changes in these two monitoring areas is calculated. A commonly used method is to distinguish between the human body and objects other than the human body.

Such a conventional example will be explained with reference to FIGS. 6 and 7.

Figure 6 is a diagram showing an example of a differential infrared sensor in which two detection elements with different polarities are differentially connected.
detection elements.

In the case of such an infrared sensor, even if the radiation temperature in two adjacent monitoring areas changes suddenly due to sunlight, etc.
As shown in FIG. 7(a), signals of approximately the same level but with different polarities are simultaneously output from the two detection elements 1a and 1b, so the detection signal of the infrared sensor itself is transmitted to each detection element 1a and 1b.
The output number 3 of b cancels each other out, resulting in no change.

However, in the case of a moving object such as a human body, in the case of a moving object such as a human body,
As shown in b), since the two monitoring areas are moved one by one, the signals of each detection element 1a and lb are shifted in time even if they are at the same level.As a result, the detection e-g from the infrared sensor 1 The signal will be output in a changed state.

(Problems to be Solved by the Invention) As explained above, conventional infrared detection sensors, etc.
It is only possible to identify changes in radiant temperature within the monitoring area caused by causes other than moving objects, and it is not possible to reliably distinguish between a human body and other moving objects such as small animals.

This invention was made to solve the above problems, and aims to provide a human body detection device that can more reliably distinguish between a human body and a moving object such as a small animal.

(Means for Solving the Problems) The human body detection device of the present invention includes a total of three or more detection sensors arranged along two directions, the movement direction and the height direction of the human body,
It is characterized by comprising f4 calculation processing means that compares a preliminarily set recognition pattern for detecting a human body with a pattern of detection signals outputted from each of the detection sensors to determine whether or not a human body has entered. It is said that

[For production]

Each detection sensor monitors each small area set in the intrusion monitoring area, and outputs a detection signal based on the monitoring to the arithmetic processing means. A predetermined recognition pattern is stored as data in the memory in this arithmetic processing means, and the detections taken from each detection sensor (, E and the recognition pattern in the I memory are stored in accordance with the block diagram of the arithmetic processing means). A comparison is made and it is recognized whether it is a human body or another moving object.

(Example> An embodiment of the present invention will be described below with reference to FIG.

FIG. 1 is a configuration diagram showing an embodiment of the present invention, in which A indicates an intrusion monitoring area where intrusion of a human body is monitored, IA, I
B, IC are three small areas set in the intrusion monitoring area A, 2a, 2b, 2c are each small area IA, IB, a differential detection sensor that captures temperature changes in the radiation temperature within the IC, And 21a.

21b are two detection elements constituting the detection sensor 2a;
2a and 22b are two detection elements that constitute the detection sensor 2b; 23a and 23b are two detection elements that constitute the detection sensor 2C; 0 and 3 are the respective detection sensors 2a and 2b;
, 2c is a computer device as an arithmetic processing means for processing the detection signal output from the computer device 3, 4 is a memory in the computer device 3, 5 is a recognition pattern as data stored in the memory 4, and 6 is a computer device in the memory 4. This is a program stored in .

Next, the operation will be explained according to FIGS. 1, 2, and 3.

Now, if a human body intrudes into the intrusion monitoring area A in the direction of arrow B, as shown in FIG. Detection signals are simultaneously output from both. Also, if a human body enters from the direction of arrow C, 5
As shown in FIG. 3, detection signals are first output simultaneously from the detection sensors 2a and 2b, and then a detection signal is output from the detection sensor 2C.

To explain the detection state at this time in detail, each detection sensor 2
a, 2b, and 2c are each small area IA set within the open area A from diagonally above the intrusion monitoring area A.

1B and IC are monitored, so in the case of a moving object with only a back, such as a human body, detection sensors 2b and 2c, for example.
detects the change in the radiant temperature of the lower half of the body, and the detection sensor 2a detects the change in the radiant temperature of the upper half of the body.

However, since a small animal such as a dog does not have a back, even if it enters the intrusion monitoring area A from the direction of arrow B or arrow C, it will be detected in the order of detection sensor 2C1 detection sensor 2b, or detection sensor 2b and detection sensor Detection signals are only output in the order of 2C, and detection from the detection sensor 2a that captures changes in radiant temperature in the height direction (No. 3 is not output).

Here, a method of comparing the output states of the detection signals from the detection sensors 2a, 2b, and 2c with the recognition patterns stored in the memory 4 will be explained.

Now, when a detection signal of a predetermined level is inputted to the computer device 4 from the detection sensor 2c, the program 5 executes the following steps.
Based on the human body detection recognition pattern stored in the memory 4, it is determined whether or not signals are output simultaneously from the detection sensors 2a and 2b within a certain period of time, and if the signals are not output simultaneously within a certain period of time, the human body It is determined that this is not a detection.

In addition, if the detection signals are output from the detection sensors 2a and 2b at the same time, then the detection signal 2C is output within a certain period of time.
It is determined whether or not there is an output from the device to determine whether or not there is a human body intrusion. Such a recognition pattern for detecting a human body may be determined as appropriate depending on the number of small areas set in the intrusion monitoring area A and their arrangement.

Although this example shows the case where three small areas are provided, more may be provided, and if the small areas are arranged so that they capture both the upper and lower body of the moving object, Any configuration may be used.

Next, FIG. 4 shows an example in which the area for monitoring human body intrusion is set in a fan shape, and this fan-shaped area is further divided into a plurality of human body intrusion monitoring areas A to monitor a wide range. . In this example, each human body intrusion monitoring area A is divided into four small areas, and each small area has four
Individual human body detection sensors 2a, 2b, 2c, and 2d are arranged. In this example, within each small area, three human body detection sensors are arranged along the moving direction of the monitored object, and the central human body detection sensor among the three is commonly used along the height direction. ) is an arrangement pattern in which two pieces are arranged. And the calculation processing means is 4 human body detection sensors 2m
, 2b, 2c, and 2d are patterned, and it is determined whether or not there is a human body intrusion based on the output pattern.

Next, FIG. 5 shows another embodiment in which the detection sensor is arranged. The detection sensor of this embodiment is also a differential detection sensor like the previous embodiment. As shown in FIG. 5, among the three detection sensors 2a, 2b, and 2c having monitoring areas along the moving direction of the monitored object, the detection sensors 2a at both ends.

2c, each detection element 21a, 21b, 23a, 23b is arranged at the same height along the same direction. The central detection sensor 2b has a detection element 22a.

22b are arranged in parallel along the height direction, and one detection element 22
b detects the radiation temperature of the lower body, and the other detection element 22a
is detecting the radiant temperature of the upper body. Similar to Figure 1,
For example, a small animal such as a dog has no back and is detected only by the detection element 22b, so it is determined to be a small animal. In addition, in the case of a human body, since the detection elements 22a and 22b are output at the same time,
As shown in FIG. 7(a), both A8 cancel each other out, resulting in a nearly zero-level signal, which can be determined to be a human body. Also, in the arithmetic processing means of this embodiment, a recognition pattern for human body detection is set in advance according to the output order of each sensor regarding the movement direction and the height direction, as in the previous embodiment. E for human body detection that has been set
By comparing the X-sensing pattern and the actual sensor output pattern, human body detection can be performed accurately.

In each of the embodiments described above, a differential type infrared sensor is used as an example of a detection sensor, but the detection sensor does not have to be a differential type, and may be connected to another detection sensor, such as a thermopile. You can also use things.

〔Effect of the invention〕

As explained above, according to the present invention, a total of three or more detection sensors are arranged along two directions, the movement direction and the height direction of the monitored object, and the arithmetic processing means receives the detection signals from each detection sensor. Since the pattern is compared with the recognition pattern for human body detection, it is possible to reliably determine whether a human body has entered the system without causing any malfunction.

[Brief explanation of the drawing]

FIG. 1 is a schematic configuration diagram showing one embodiment of the present invention, and FIG.
Figure 3 is a diagram showing the output state of the detection sensor when a human body is detected in the same embodiment, Figure 4 is a diagram showing an example of the arrangement pattern of the human body intrusion monitoring area, and Figure 5 is the arrangement of the detection sensor. FIG. 6 is a schematic configuration diagram showing another embodiment of the present invention with different characteristics, FIG. 6 is a configuration diagram of a conventional detection sensor, and FIG.
). (b) is a diagram showing the output state of a conventional detection sensor. 1.2a, 2b, 2cm - detection sensor. la, lb, 21a, 21b, 22a. 22b, 23a, 23b - detection elements. 3-Computer device as arithmetic processing means. 4-Memory. 5-Program. 8 - Intrusion monitoring area. IA, IB, IC - small areas.

Claims (1)

[Claims] A total of three or more detection sensors arranged along two directions, the movement direction and the height direction of the human body, a recognition pattern for human body detection set in advance, and a detection signal pattern output by each of the above detection sensors. A human body detection device comprising: arithmetic processing means for determining whether or not a human body has entered the human body by comparing the values.