WO2015170754A1 - Mobile body detection device and automatic vending machine - Google Patents

Abstract

Provided is a mobile body detection device that can detect the approach of a person even on a rainy day. As one example of the mobile body detection device, a human detecting unit (150) comprises: a human sensing sensor (151) that detects a mobile body in a predetermined detection range via a front surface cover (120); and a determination unit (153b) that compares a signal level of a detection signal output from the human sensing sensor (151) with a voltage threshold, and that determines, in accordance with a time period during which the signal level is continuously at or above the voltage threshold, whether the mobile body is a human or a rain drop running down the surface of the front surface cover (120).

Description

Moving object detection device and vending machine

The present invention relates to a moving object detection apparatus and a vending machine.

In recent years, a vending machine equipped with a human sensor for detecting the approach of a person to a vending machine has been proposed in order to promote sales of goods and save energy in the vending machine (see, for example, Patent Document 1). ).

In this vending machine, a human sensor is accommodated in an amount indicator that displays the amount of money that has been input. The money amount indicator is configured by housing a human detection unit including a human sensor in a substantially rectangular casing, and disposing a black acrylic plate that transmits infrared rays, radio waves, and the like on the front surface thereof. The human detection unit transmits infrared rays or radio waves from the human sensor through the acrylic plate, detects a human based on the reflection, and outputs a human detection signal. The human detection signal is transmitted to the main control unit of the vending machine, and is used for various controls for promoting sales of the products of the vending machine and saving energy.

JP 2014-29329 A

However, since vending machines are often installed outdoors, on rainy days, rain hits the acrylic plate (surface member) of the price indicator and falls in front of the human sensor as raindrops. There is. In such a case, it is difficult for the human detection unit equipped in the conventional vending machine to distinguish between a person and a raindrop, and there is a possibility that the raindrop is erroneously determined as a person approaching.

An object of the present invention is to provide a moving body detection apparatus that can detect that a person has approached even on a rainy day. Another object of the present invention is to provide a vending machine that can detect that a person has approached even on a rainy day, and thereby can promote sales of products and save energy. is there.

A moving body detection apparatus according to an aspect of the present invention compares a moving body detection unit that detects a moving body in a predetermined detection range, a signal level of a detection signal output from the moving body detection unit, and a voltage threshold value. And a determination unit that determines whether the moving body is a person or a person other than the person according to a time when the signal level is continuously equal to or higher than the voltage threshold.

In addition, a vending machine according to another aspect of the present invention includes the moving body detection device and a main control unit that performs control in the vending machine based on a determination result by the determination unit of the moving body detection device. .

According to one embodiment of the present invention, it is possible to provide a moving body detection apparatus that can detect that a person has approached even on a rainy day. In addition, according to another aspect of the present invention, there is provided a vending machine capable of detecting that a person has approached even on a rainy day, thereby enabling sales promotion of products and energy saving. can do.

FIG. 1 is a front view showing a vending machine according to the first embodiment of the present invention. FIG. 2 is a front view of the money amount display device. 3 is a cross-sectional view taken along line AA in FIG. FIG. 4 is a plan view showing a detection range of the human sensor. FIG. 5 is a block diagram illustrating the human detection unit. FIG. 6 is a front view showing the main part of the human detection unit so as to show the state of dripping. FIG. 7 is an explanatory diagram illustrating an example of sensitivity threshold information. FIG. 8 is a diagram illustrating an example of a detection signal output from the human sensor. FIG. 9 is a diagram illustrating an example of a digital signal output from the A / D converter and an output signal after the moving average process is performed on the digital signal. FIG. 10 is a flowchart illustrating an example of the operation of the human detection unit. FIG. 11A is an explanatory diagram showing experimental results of misjudgment with and without using the tilt threshold value in order to explain the effect when the tilt threshold value is used in the rain mode. FIG. 11B is an explanatory diagram illustrating a difference in inclination between the person and the raindrop in the output signal in order to explain an effect when the inclination threshold is used in the rain mode. FIG. 12 is an explanatory diagram illustrating the determination accuracy of a person in the sunny mode and the rain mode. FIG. 13A is an explanatory diagram illustrating a relationship between an output signal of a moving average processing unit and a threshold value in order to describe a determination unit of the human detection unit according to the second embodiment of the present invention. FIG. 13B is an explanatory diagram illustrating a determination criterion for dripping in order to describe the determination unit of the human detection unit according to the second embodiment. FIG. 13C is an explanatory diagram illustrating determination criteria for approaching / separating a person in order to describe the determination unit of the human detection unit according to the second embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In addition, in each figure, about the component which has the substantially same function, the same code | symbol is attached | subjected and the duplicate description is abbreviate | omitted.

[First Embodiment]
FIG. 1 is a front view showing a vending machine according to the first embodiment of the present invention. Hereinafter, the case where the moving body detection apparatus of the present invention is applied to a vending machine will be described as an example.

The vending machine 1 sells, for example, various beverages, and includes a vending machine body 2 formed by a rectangular parallelepiped casing that is long in the vertical direction, and a main control unit (not shown) that controls the inside of the vending machine 1. With.

The vending machine main body 2 includes a box 2a that opens forward and a door 2b that opens and closes an opening in front of the box 2a. The upper front portion of the door body 2b includes a front panel 3. The front panel 3 is made of a resin material such as a transparent acrylic plate. Here, the front side means the front side in the vending machine 1. The back side means the surface side opposite to the front side.

A bill inlet / outlet 4 for inserting / discharging banknotes, a coin insertion slot 5 for inserting coins, and a return lever 6 for returning banknotes or coins are provided at the lower front portion of the door body 2b.

In the lower part of the front surface of the door body 2b, a change amount display device 100 for displaying the change of money, displaying the amount of inserted bills or coins, a change return port 8 for returning change, and a product for taking out the product. An outlet 9 and a door lock 10 that locks the opening and closing of the door body 2b are provided. In FIG. 1, reference numerals 11 and 12 denote an advertisement space and a cool / warm display unit, respectively.

On the back side of the front panel 3, a back panel 13 made of a metal plate is disposed. A space formed between the front panel 3 and the back panel 13 is a product sample display room. In the product sample display room, product sample display stands 14 having display casings opened on the lower side and the front side are installed in three stages: an upper stage, a middle stage, and a lower stage.

A plurality of (30 in the present embodiment) product samples 15 that are exhibition items are displayed in three stages on the product sample display stand 14. Corresponding to the product sample 15, a selection switch device 20 having a plurality of (10 in the present embodiment) selection buttons 23 is arranged in each of the upper, middle, and lower stages. Each selection switch device 20 is attached to the front side of the front panel 3.

In addition, the product sample display room is provided with a plurality of lighting devices, and the lighting devices illuminate the display article, the selection button 23, the advertisement drawn on the back panel 13, and the like. The lighting device has a plurality of LEDs mounted on a substrate.

The money amount display device 100 accommodates a human detection unit, which will be described later, as a moving body detection device.
The person detection unit is configured such that when a person approaches the vending machine 1, a person detection signal is output from the determination unit of the person detection unit to a main control unit that controls the inside of the vending machine 1.

The main control unit controls the selection switch device 20, the money amount display device 100, the lighting device, and the like, and controls the sale of products. The main control unit performs control to turn on the LED of the lighting device when a human detection signal is received from the human detection unit. That is, for example, the main control unit performs control to turn on the remaining LEDs when a human detection signal is received from the human detection unit by turning on half of the LEDs of the lighting device in normal times. The main control unit may generate a sound effect or a message by driving a speaker accommodated in the money amount display device 100 or the like when receiving the human detection signal.

(Configuration of the amount display device)
2 is a front view of the money amount display device 100, and FIG. 3 is a cross-sectional view taken along line AA of FIG. This money amount display device 100 is configured as one unit by sequentially stacking a protective cover 110, a front cover 120, a printed circuit board 130, and a case 140 from the front side. Here, the front cover 120 is an example of a surface member constituting the surface of the housing of the money amount display device 100.

The front cover 120 is formed of a transparent resin material or the like, and has a rectangular engagement hole 120a with which the engagement protrusion 140a having a triangular cross section of the case 140 is engaged. One housing for accommodating the printed circuit board 130 is configured by engaging the locking protrusion 140a of the case 140 with the engagement hole 120a of the front cover 120. The front cover 120 is formed with a printed layer 121 on the back surface thereof with transparent character portions and design portions.

On the front surface of the printed circuit board 130, there are a money amount display unit 131, a sales display unit 132, a bill unusable display unit 133, a change change display unit 134, an infrared communication unit 135, a human sensor 151 constituting a human detection unit 150, and the like. Has been implemented. A transparent plate 122 that transmits infrared rays, radio waves, and the like is disposed on the front surfaces of the infrared communication unit 135 and the human sensor 151. The transparent plate 122 is formed from, for example, a resin material such as a transparent black acrylic plate. Here, the human detection unit 150 is an example of a moving object detection device. The human sensor 151 is an example of a moving body detection unit.

The monetary amount display unit 131 is configured by a plurality (five in the present embodiment) of seven-segment displays having seven LEDs 131a. A transparent plate 123 that transmits light emitted from the LED 131a is disposed on the front surface of the 7-segment display. The transparent plate 123 is formed from a resin material such as a transparent acrylic plate.

The on-sale display unit 132 includes an LED that illuminates the character part “on sale” of the front cover 120. The bill unusable display unit 133 includes an LED that illuminates the character portion of “cancel bill” on the front cover 120 and the symbol portion of the thousand yen bill. The change change display unit 134 includes LEDs that illuminate the character portion of “change change” on the front cover 120 and the symbol portions of the hundred yen coin and the ten yen coin.

The case 140 has left and right flange portions 141 projecting from the left and right, and is configured so that the money amount display device 100 can be attached to the door body 2b and the like through a screw 141a formed in the flange portion 141.

On the back surface of the printed circuit board 130, there are a CPU 153 constituting the human detection unit 150, a connector (not shown) for connecting to the main control unit that controls the entire vending machine 1 by wiring, a buzzer (not shown), and the like. Has been implemented.

The infrared communication unit 135 receives an infrared communication request signal when a service person who performs maintenance or the like of the vending machine 1 approaches a portable terminal such as a handy terminal (not shown), and receives product information (the number of products sold, the sales amount, etc.) Data) is transmitted to the portable terminal by infrared rays.

In the present embodiment, for example, a Doppler sensor is used as the human sensor 151. The Doppler sensor emits a microwave, detects a phase shift between the emitted microwave and a microwave reflected by a person or the like, and outputs it as a detection signal. Note that an infrared sensor or the like may be used as the human sensor 151. The infrared ray is emitted from the infrared sensor, and the infrared ray dose reflected by a person or the like is output as a detection signal.

FIG. 4 is a diagram showing a detection range E when a Doppler sensor is used as the human sensor 151. The angle θ of the detection range E is, for example, about 60 °, and the distance L from the front surface 1a of the vending machine 1 in the detection range E is, for example, about 1.5 m. When the person P enters the detection range E, the phase difference between the microwave emitted from the human sensor 151 and the microwave reflected by the human P increases, and the human sensor 151 detects a voltage detection signal corresponding to the phase difference. 151a is output.

(Configuration of human detection unit)
FIG. 5 is a block diagram showing the human detection unit 150. The human detection unit 150 includes the human sensor 151, the CPU 153, and the storage unit 154.

The CPU 153 operates as the A / D conversion unit 152, the moving average processing unit 153a, the determination unit 153b, the sensitivity setting unit 153c, and the like by operating according to the program 154a stored in the storage unit 154. Here, the sensitivity setting unit 153c is an example of a threshold value changing unit. The A / D conversion unit 152, the moving average processing unit 153a, the determination unit 153b, and the sensitivity setting unit 153c may be realized in whole or in part by hardware such as an ASIC (Application Specific Integrated 等 Circuit).

The storage unit 154 includes a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and stores a program 154a, sensitivity threshold information 154b, a rain count threshold 154c, and the like.

The human sensor 151 detects a moving body such as a person P in a predetermined detection range E through the front cover 120. Since the human sensor 151 is a Doppler sensor, a microwave is emitted through the front cover 120, and a voltage corresponding to a phase shift between the emitted microwave and the microwave reflected by the moving body (for example, 5 V at the maximum). Is output as a detection signal 151a. The moving body detected by the human sensor 151 is not limited to the person P, and includes liquids such as raindrops other than the person P, dripping due to melting snow, and water droplets due to dew. In the present embodiment, an example of dripping will be described below as the liquid detected by the human sensor 151.

The A / D converter 152 converts the analog signal output from the human sensor 151 into a digital signal 152a.

The moving average processing unit 153a performs moving average processing for averaging the digital signal 152a output from the A / D conversion unit 152 every predetermined sampling time (for example, 1 ms), and outputs an output signal 155.

FIG. 6 is a front view showing the human detection unit so as to schematically show the state of dripping. The raindrop R is formed when rain hits the front cover 120 of the money amount display device 100 and falls down due to gravity.

The determination unit 153b compares the signal level of the output signal 155 from the moving average processing unit 153a with the voltage threshold value, and determines whether the moving body is a person according to the time when the signal level continuously exceeds the voltage threshold value. It is determined whether it is raindrops flowing on the surface of the front cover 120. The determination unit 153b outputs a human detection signal to the main control unit when it is determined that the moving body is a person. The determination unit 153b outputs a human detection signal to the main control unit when it is determined that the moving body is a person, and outputs a rain detection signal to the main control unit when it is determined that the moving body is dripping. Also good.

Specifically, in the fine mode, the determination unit 153b determines that the moving body is a person when the time when the signal level continuously becomes equal to or greater than the voltage threshold is equal to or greater than the time threshold, and is less than the time threshold. It is determined that the moving body is raindrops flowing on the surface of the front cover 120. Further, in the rain mode, the determination unit 153b determines the output signal 155 when the signal level of the output signal 155 becomes equal to or higher than the voltage threshold when the signal level continuously becomes equal to or higher than the voltage threshold. The inclination indicating the rate of change (increase rate) of the signal level is compared with the inclination threshold. When the inclination is equal to or less than the inclination threshold, it is determined that the moving body is a person. When the inclination exceeds the inclination threshold, the moving body It is determined that the raindrop is flowing on the surface of the front cover 120.

The sensitivity setting unit 153c switches the mode to the sunny mode or the rain mode by changing the voltage threshold value, the time threshold value, or the inclination threshold value used by the determination unit 153b according to the frequency determined as raining by the determination unit 153b.

FIG. 7 is an explanatory diagram illustrating an example of the sensitivity threshold information 154b. The storage unit 154 stores voltage threshold values (V ₁ , V ₂ , V ₃ : V ₁ <V ₂ <V ₃ ), time threshold values (V ₁ <V ₂ <V ₃ ), and time threshold values (strong, medium, weak) and rain mode. T ₁ , T ₂ : where T ₁ <T ₂ ) and inclination threshold (G ₁ ) are stored as sensitivity threshold information 154b. The voltage threshold value, time threshold value, and slope threshold value shown in FIG. 7 are for the output signal 155 output from the moving average processing unit 153a. The voltage threshold is a predetermined bit when the maximum output voltage 5V is expressed by n bits. The inclination threshold is a change amount in which the signal level increases at a predetermined time interval Δt.

(Operation of the human detection unit)
Next, an example of the operation of the human detection unit 150 will be described. FIG. 8 is a diagram illustrating an example of the detection signal 151 a output from the human sensor 151. FIG. 9 is a diagram illustrating an example of the digital signal 152a output from the A / D conversion unit 152 and the output signal 155 after the moving average process is performed on the digital signal 152a. FIG. 10 is a flowchart illustrating an example of the operation of the human detection unit 150.

In the sensitivity setting unit 153c, the sensitivity of the sunny mode is set as an initial setting. The human sensor 151 outputs a detection signal 151a having a maximum of 5V as shown in FIG. 8 according to the movement of the person. The detection signal 151a output from the human sensor 151 is converted from an analog signal into a digital signal (for example, resolution 256) 152a by the A / D converter 152, and outputs a waveform as shown in FIG.

The moving average processing unit 153a performs moving average processing for averaging the digital signal 152a output from the A / D conversion unit 152 every predetermined sampling time (for example, 1 ms), and outputs an output signal 155.

(1) Sunny mode It is assumed that “weak” is initially set as the sensitivity of the sunny mode. The initial setting can be set to “strong” and “medium” by the service staff. Sensitivity setting unit 153c, the voltage threshold value corresponding to the sensitivity of the "weak" _(V 3), obtained from the time threshold _{(T 1)} to the storage unit 154, the voltage threshold _(V 3), the self-time threshold _{(T 1)} (S1).

The determination unit 153b performs determination based on the threshold value held by the sensitivity setting unit 153c (S2). That is, when the signal level of the output signal 155 of the moving average processing unit 153a is equal to or higher than the voltage threshold value (V ₃ ) (S2: Yes), the determination unit 153b determines whether the moving body is a person or is dripping. Do. It is determined whether the time of the output signal 155 having a signal level equal to or higher than the voltage threshold (V ₃ ) is equal to or higher than the time threshold (T ₁ ) (S3). When the time of the output signal 155 becomes equal to or greater than the time threshold (T ₁ ) (S3: Yes), the moving body determines that it is a person and outputs a human detection signal to the main control unit (S4), which is less than the time threshold (T ₁ ). In the case of (S3: No), it is determined that the mobile body is dripping (S5), and the process proceeds to step S6 and subsequent steps.

The sensitivity setting unit 153c counts the number of raindrop determinations by the determination unit 153b (S6), and determines whether the count value is greater than or equal to the rain count threshold value 154c stored in the storage unit 154 (S7). . If the count value is less than the rain count threshold value 154c (S7: No), the sensitivity setting unit 153c continues the sunny mode.

(2) When the count value is equal to or greater than the rain count threshold (S7: Yes), the sensitivity setting unit 153c for switching to the rain mode sets the sensitivity to the rain mode and switches from the sunny mode to the rain mode (S8). That is, the sensitivity setting unit 153c, the voltage threshold value corresponding to the rain mode _(V 2), obtained from the time threshold _(T 2), the storage unit 154 the slope threshold _{(G 1),} voltage threshold _(V 2), time threshold (T ₂ ), the inclination threshold (G ₁ ) is held in its own memory.

The determination unit 153b performs determination based on the threshold value held by the sensitivity setting unit 153c. That is, the determination unit 153b, when the signal level of the output signal 155 of the moving average processing unit 153a is a voltage threshold _{(V 2)} or more (S9: Yes), whether the mobile body is a human, the determination of whether a rain Do. It is determined whether the time of the output signal 155 having a signal level equal to or higher than the voltage threshold (V ₂ ) is equal to or higher than the time threshold (T ₂ ) (S10). When the time of the output signal 155 is less than the time threshold value (T ₂ ) (S10: No), it is determined that the mobile body is dripping (S5).

When the time of the output signal 155 becomes equal to or greater than the time threshold (T ₂ ) (S10: Yes), it is determined whether or not the slope of the output signal 155 is equal to or smaller than the slope threshold (G ₁ ) (S11). When the inclination of the output signal 155 is equal to or less than the inclination threshold (G ₁ ) (S11: Yes), the moving body is determined to be a person and outputs a human detection signal to the main control unit (S12), and the inclination threshold (G ₁ ) Is exceeded (S11: No), the mobile body is determined to be raining (S5).

In the example shown in FIG. 8, the detection signal 151 a output from the human sensor 151 shows a case where a portion where a large amplitude continues for a long time has approached the vending machine 1, and the large amplitude is short. The appearing portion shows a case where rain dripping occurs on the front cover 120.

Here, the calculation of the inclination performed by the determination unit 153b will be described. The determination unit 153b does not calculate the slope when the time of the output signal 155 exceeds the time threshold in step S10, but the signal level of the output signal 155 exceeds the voltage threshold in step S9. The tilt is calculated when

In the example shown in FIG. 9, the slope is calculated when the time when the signal level of the output signal 155 is continuously equal to or higher than the voltage threshold is equal to or longer than a predetermined time T ₀ (for example, T ₀ <T ₁ ). The amount of change in which the signal level increases during a predetermined time interval Δt after a predetermined time has elapsed since the signal level of the output signal 155 becomes equal to or higher than the voltage threshold value is calculated as the slope. In the waveform of FIG. 9, the slope 155b is calculated for a predetermined time interval Δt in the portion 155a that first exceeds the voltage threshold. Then portion 155c that over the voltage threshold, the signal level is equal to or higher than the voltage threshold value, since the time the threshold is exceeded is not T ₀ or more, not performing operation slope. Note that the inclination may be obtained by calculating the predetermined time interval Δt immediately before the signal level of the output signal 155 becomes equal to or higher than the voltage threshold.

(Effects of the first embodiment)
The human detection unit 150 of the present embodiment has the following effects.
(1) In the rain mode, the voltage threshold, the time threshold, and the slope threshold are used to determine whether the moving body is a person or a raindrop. Compared with the case where the determination is made using only the voltage threshold and the time threshold. Can be determined with high accuracy.

FIG. 11A is an explanatory diagram showing experimental results of misjudgment with and without using the tilt threshold value in order to explain the effect when the tilt threshold value is used in the rain mode. FIG. 11B is an explanatory diagram illustrating a difference in inclination between the person and the raindrop in the output signal in order to explain an effect when the inclination threshold is used in the rain mode. FIG. 11A shows the number of times that raindrops were erroneously determined as humans under the condition of 60 mm / h of rainfall.

The inclination is obtained as the rate of change (increase rate) of the signal level of the output signal 155 exceeding the voltage threshold. In FIG. 11B, a solid line indicates a person and a broken line indicates a raindrop. As shown in FIG. 11B, in the case of a person, the slope 155b of the output signal 155 is small, and in the case of rain, the slope 155b of the output signal 155 is large. Since the slope of the output signal 155 is different between the person and the raindrop, the slope threshold is not used as shown in FIG. 11A by setting the slope threshold between the slope 155b in the case of the person and the slope 155b of the raindrop. In this case, an experimental result was obtained that the number of misjudgments was 3 times / h (rainfall 60 mm / h), and when the inclination threshold was used, the number of misjudgments was 0 times / h (rainfall 60 mm / h).

(2) Since the person is detected in the sunny mode when it is fine, it is possible to determine that the response is good and the human detection accuracy is high. In addition, since the person is detected in the rain mode when it is raining, the response is slightly lowered, but the determination with high human detection accuracy is possible.

Regarding the sensor sensitivity of the human sensor 151, when the weather is clear, it is important that both human detection accuracy and responsiveness are good. Like rainy weather, it is desirable that human detection accuracy and responsiveness be good, but there is a trade-off relationship between human detection accuracy and responsiveness. More important than human detection accuracy.

FIG. 12 is an explanatory diagram showing the determination accuracy of the person in the sunny mode and the rain mode according to the weather. Since it is determined in the clear mode when the weather is clear, the determination accuracy of the person is high and the responsiveness is also high. On the other hand, if it is determined in the rain mode despite the fine weather, the human detection accuracy is high, but the responsiveness is low. In addition, by making a determination in the rain mode when it is raining, the response is low, but the human detection accuracy is high, so the evaluation is good. On the other hand, if it is determined in the fine mode when it is raining, the responsiveness is high, but the human detection accuracy is low.

Some raindrops have a long time for the output signal 155 to exceed the voltage threshold because the speed of dropping on the surface of the front cover 120 is slow. For this reason, the time threshold value in the rain mode is set longer than the time threshold value in the sunny mode, thereby increasing the human determination accuracy. However, if only the voltage threshold and the time threshold are determined, the rate of erroneously determining raindrop as a person is high, and by using the voltage threshold, time threshold, and slope threshold, the rate of erroneously determining raindrop as a person is low. Therefore, when the frequency of dripping is high, the mode is switched to the rain mode using the voltage threshold, the time threshold, and the slope threshold. By making the rain mode when it is raining frequently, it is possible to improve the accuracy of human judgment.

(3) During normal times, half of the LEDs of the lighting device are turned on, and when a human detection signal is received from the human detection unit 150, the remaining LEDs are turned on to promote sales of products and save energy. Can be achieved.

[Second Embodiment]
FIG. 13A shows the relationship between the output signal Gx of the moving average processing unit 153a and the thresholds G ₂ to G ₅ in order to explain the determination unit 153b of the human detection unit 150 according to the second embodiment of the present invention. It is explanatory drawing. FIG. 13B is an explanatory diagram illustrating a determination criterion for dripping in order to describe the determination unit 153b of the human detection unit 150 according to the second embodiment. FIG. 13C is an explanatory diagram illustrating a criterion for approaching / separating a person in order to describe the determination unit 153b of the human detection unit 150 according to the second embodiment.

In the first embodiment, whether it is a person or a raindrop is determined based on the slope indicating the rate of increase in the output signal 155 of the moving average processing unit 153a. In the present embodiment, the output signal 155 of the moving average processing unit 153a (FIG. In 13A to 13C, it is determined whether the person is dripping or not depending on the slope indicating the rate of change (increase rate or decrease rate) of the output signal Gx), and whether the person is approaching the vending machine It is judged whether it is away from.

Specifically, as shown in FIG. 13B, the increase rate of the signal level of the output signal Gx is, if it exceeds the threshold value G _3, determines that the eavesdropping, if the threshold value G ₃ below, it is determined that human. Moreover, descending rate of the signal level of the output signal Gx is smaller than the threshold value G _5, determines that the eavesdropping, if the threshold value G ₅ or more, it is determined that human. The determination of whether the person is dripping or not using the determination criterion of FIG. 13B may be performed in step S11 shown in FIG. 10 of the first embodiment. Further, it may be additionally performed in steps S3 and S10.

Further, as shown in FIG. 13C, the rate of increase in the signal level of the output signal Gx is, if the threshold value G ₂ or more threshold G ₃ or less, and determines that a human is approaching the vending machine 1, the output signal Gx descending rate of the signal level is determined, if the threshold value G ₄ below the threshold G ₅ or more, a person is being separated from the vending machine 1.

(Effect of the second embodiment)
The human detection unit 150 of the present embodiment has the following effects.
(1) By comparing the rate of increase and decrease of the signal level of the output signal 155 of the moving average processing unit 153a with a threshold value, it is possible to improve the accuracy of determining whether a person is dripping or raining compared to the first embodiment. .
(2) Since it is known whether a person is approaching or leaving the vending machine 1, for example, by promoting sound and light in synchronization with the approach of the person, sales promotion of the product is attempted. Can do.

[Modification]
The embodiment of the present invention is not limited to the above-described embodiment, and various modifications and implementations are possible without departing from the scope of the present invention. For example, the moving body detection apparatus of the present invention can be applied to an apparatus that is installed outdoors such as an automatic door opening / closing apparatus or a security camera apparatus and uses a human sensor.

The automatic door opening and closing device includes an automatic door provided at the entrance of a store or office facing the road, and a moving body detection device installed at the upper part of the automatic door. The moving body detection device has a configuration in which a human sensor is housed in a housing. Even if rain hits the housing part in front of the human sensor, it can be determined with high accuracy whether the moving body is a person or dripping. When the mobile body detection device determines that the mobile body is a person, it outputs a human detection signal to the main controller. The main control unit controls a driving unit such as a motor so as to open the automatic door based on the human detection signal.

The security camera device is provided outdoors near the entrance door of the dwelling unit, and includes a moving body detection device that outputs a human detection signal when a person approaches and a CCD camera that captures the vicinity of the entrance door. . The moving body detection device has a configuration in which a human sensor is housed in a housing. Even if rain hits the housing part in front of the human sensor, it can be determined with high accuracy whether the moving body is a person or dripping. When the moving body detection device determines that the moving body is a person, it outputs a human detection signal to the CCD camera. The CCD camera starts photographing based on the human detection signal.

Moreover, you may determine whether a moving body is a person or a raindrop using a voltage threshold value, a time threshold value, and an inclination threshold value in fine mode. In this case, the same value may be used for the slope threshold value in the sunny mode and the rain mode, or different values may be used. By using the voltage threshold value, the time threshold value, and the inclination threshold value in the fine mode, it becomes possible to further improve the human determination accuracy.

Further, only the voltage threshold and the time threshold may be used in both the sunny mode and the rain mode, and both the voltage threshold and the time threshold, or only the time threshold may be changed in the sunny mode and the rain mode.

The present invention can be applied to a vending machine installed outdoors and equipped with a human sensor that detects the approach of a person.

DESCRIPTION OF SYMBOLS 1 Vending machine 100 Price display apparatus 150 Human detection part 151 Human sensor 151a Detection signal 153a Moving average process part 153b Determination part 153c Sensitivity setting part

Claims (9)

1. A moving body detection unit for detecting a moving body in a predetermined detection range;
   The signal level of the detection signal output from the moving body detection unit is compared with a voltage threshold, and according to the time when the signal level is continuously equal to or higher than the voltage threshold, whether the moving body is a person or the person A moving body detection apparatus comprising: a determination unit that determines whether the person is other than a person.
2. The determination unit determines that the moving body is a person when the time when the signal level is continuously equal to or higher than the voltage threshold is equal to or higher than a time threshold, and when the time is lower than the time threshold, The moving body detection apparatus according to claim 1, wherein the moving body detection apparatus determines that the liquid flows on a surface of a surface member existing in front of the moving body detection unit.
3. The determination unit includes a time when the signal level continuously becomes equal to or higher than the voltage threshold, and a slope indicating a change rate of the signal level of the detection signal when the signal level of the detection signal becomes equal to or higher than the voltage threshold. The moving body detection apparatus according to claim 2, wherein whether the moving body is a person or the liquid is determined according to the method.
4. The determination unit has a signal level of the detection signal when the signal level of the detection signal is equal to or higher than the voltage threshold when the time when the signal level is continuously equal to or higher than the voltage threshold is equal to or higher than the time threshold. When the inclination is equal to or less than the inclination threshold, it is determined that the mobile body is a person, and when the inclination exceeds the inclination threshold, the mobile body The moving body detection apparatus according to claim 2, wherein the moving body detection apparatus determines that the liquid is used.
5. The determination unit determines that the moving body is a person when the time when the signal level is continuously equal to or higher than the voltage threshold is equal to or higher than a time threshold, and when the time is lower than the time threshold, When it is determined that the liquid is the liquid and the frequency at which the moving body is determined as the liquid is equal to or higher than the rain count threshold, the time when the signal level is continuously equal to or higher than the voltage threshold is equal to or higher than the time threshold. An inclination indicating a rate of change of the signal level of the detection signal when the signal level of the detection signal is equal to or higher than the voltage threshold is compared with an inclination threshold, and when the inclination is equal to or lower than the inclination threshold, the moving body The mobile body detection device according to claim 2, wherein the mobile body is determined to be a liquid when it is determined that the mobile body is a person and when the tilt exceeds the tilt threshold.
6. The moving body detection according to any one of claims 2 to 5, further comprising a threshold value changing unit that changes at least the time threshold according to a frequency at which the moving body is determined to be the liquid by the determination unit. apparatus.
7. A moving average processing unit that performs a moving average process on the detection signal output from the moving body detection unit and outputs an output signal to the determination unit;
   The moving body detection apparatus according to claim 1, wherein the determination unit makes a determination based on the output signal from the moving average processing unit.
8. The determination unit determines that the moving body is approaching when the rate of increase in the signal level of the detection signal is within a predetermined range when it is determined that the moving body is a person. 6. The moving body detection apparatus according to claim 2, wherein the moving body is determined to be separated when a rate of decrease in signal level is within a predetermined range.
9. A moving body detection device according to any one of claims 1 to 8,
   A vending machine comprising: a main control unit that controls the inside of the vending machine based on a determination result by the determination unit of the mobile object detection device.

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