Security system and method for estimating intrusion by an object in a space - Patents.com
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-03-21
- Publication Date
- 2026-03-30
AI Technical Summary
Existing security systems are prone to insufficient false positives and true positives when detecting intruders, resulting in the system being inaccurate enough when identifying potential threats.
By dividing the space into two different illumination subspaces, the possibility of intrusion is estimated using a combination of illumination information and motion detection. Specifically, the processor is used to obtain the lighting information of different lighting subspaces, and detect the movement of objects through sensors, and calculate the intrusion possibility level in each subspace, thereby determining whether the object has a potential threat.
It effectively reduces the occurrence of false positives, improves the accuracy of detection of real threats, and can more accurately judge the possibility of invasion of objects.
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Abstract
Description
[Technical field]
[0001] The present invention relates generally to a security system and method for monitoring a space, and more particularly, to a security system and method for estimating intrusion by an object in a space. [Background technology]
[0002] There is an increasing demand for security systems for homes, offices, factories, stores, etc., that can perform monitoring, surveillance, and / or detection in the vicinity of such locations or buildings, and in particular, there is interest in systems that can improve residential security to thwart burglary and theft.
[0003] In the prior art, there are many systems including one or more sensors capable of detecting the presence and / or movement of a person. For example, such systems may include sensors capable of monitoring and / or surveillance in the vicinity of a residence, such as a garden of a residence, a parking space, etc. US8970374B2 for example discloses a system for detecting intrusions across a surface by evaluating reflected illumination.
[0004] A challenge with these systems is the prevention, or at least the impediment, of "false positives", i.e., the sensor(s) detect the presence and / or movement of one or more objects, but the object(s) are unlikely to have malicious intent. In other words, many prior art systems may detect object(s) and possibly set off alarm(s) even though the detected object(s) have a low probability of having malicious intent (such as robbery, espionage, trespass, etc.). Similarly, another challenge with prior art systems is the level of "true positives" being too low, i.e., the system may not detect and may not set off alarms even though the detected object(s) have a high probability of having malicious intent.
[0005] It is therefore desirable to provide a system that can monitor and detect objects in the vicinity of a building, such as a house, which can reduce "false positives" and increase "true positives" in intruder detection. Summary of the Invention [Problem to be solved by the invention]
[0006] It is an object of the present invention to provide a system that can monitor and detect object(s) in the vicinity of a building, e.g., a house, which can reduce "false alarms" of object(s) that are unlikely to have malicious intent (e.g., burglary, espionage and / or trespass), while at the same time increasing surveillance and / or alarms for "true positives" of intruder detection. [Means for solving the problem]
[0007] This and other objects are achieved by providing a security system and method having the features in the independent claims. Preferred embodiments are defined in the dependent claims.
[0008] Accordingly, according to a first aspect of the invention, a security system for the estimation of an intrusion by at least one object in a space is provided. The security system includes a processor configured to obtain information on the illumination of at least one first subspace of the space, each of the at least one first subspaces having a respective first illumination level I1 within a first light intensity interval R1. The processor is further configured to obtain information on the illumination of at least one second subspace of the space, the at least one second subspace being spatially separated from the at least one first subspace, each of the at least one second subspaces having a respective second illumination level I2 within a second light intensity interval R2, with max(R1) < min(R2). The security system further includes at least one sensor communicatively coupled to the processor, the at least one sensor being configured to detect the motion of at least one object in the space, and the processor, based on the obtained information on the illumination of the at least one first subspace and the obtained information on the illumination of the at least one second subspace, and based on the detected motion of at least one object by the at least one sensor in at least one of the at least one first subspaces, estimates a first level of probability L of an intrusion by at least one object in the space P1 and, based on the detected motion of at least one object by the at least one sensor in at least one of the at least one second subspaces, estimates a second level of probability L of an intrusion by at least one object in the space P2 is configured to, and L P1 > L P2 is.
[0009] The information on illumination may alternatively be expressed as illumination information or information indicating illumination. The information may include, for example, the illumination level of at least one sub - space respectively (or may be the illumination level of at least one sub - space respectively).
[0010] According to a second aspect of the present invention, a method for estimating an intrusion by at least one object in a space is provided. The method includes obtaining information on the illumination of at least one first sub - space of the space, where the at least one first sub - space has a first illumination level I1 within a first light intensity range R1. The method further includes obtaining information on the illumination of at least one second sub - space of the space, where the at least one second sub - space is spatially separated from the at least one first sub - space and has a second illumination level I2 within a second light intensity range R2, and max(R1)<min(R2). The method further includes detecting the movement of at least one object, and based on the obtained information on the illumination of the at least one first sub - space and the obtained information on the illumination of the at least one second sub - space, estimating a first probability level L of an intrusion by at least one object in the space based on the detected movement of the at least one object in at least one of the at least one first sub - spaces P1 and estimating a second probability level L of an intrusion by at least one object in the space based on the detected movement of the at least one object by at least one sensor in at least one of the at least one second sub - spaces P2 including, L P1 >L P2 is.
[0011] Thus, the invention is based on the idea of obtaining information of first and second subspaces of a space for intrusion estimation, the first subspace(s) having a lower illumination level than the second subspace(s). Based on the obtained information (of illumination) of at least one of the first and second subspaces, the system determines a (first) probability level L of an intrusion by the object(s) in the space based on the detected movement of the object(s) in the first subspace(s). P1 The method is configured to estimate
[0012] The present invention is advantageously based on the observation that malicious objects (people) attempting to enter a space tend to avoid (relatively) illuminated areas or spaces, i.e., (second) sub-spaces of a space having a relatively high illumination level, and instead move within poorly illuminated areas or spaces, i.e., (first) sub-spaces of a space having a relatively low illumination level.
[0013] The present invention is further advantageous in that it efficiently prevents or at least prevents "false positives". In other words, a security system can detect the presence and / or movement of one or more objects via the sensor(s), and the security system can dependently deduce that the probability of intrusion is (relatively) low, i.e. that the object(s) are unlikely to be malicious. Similarly, the present invention is further advantageous in that it efficiently enhances the detection or estimation of "true positives", i.e. that the security system can dependently deduce that the probability of intrusion is (relatively) high, e.g. in case of malicious acts of the detected object(s) (burglary, trespass, espionage, etc.).
[0014] The present invention relates to a security system that estimates the probability level L of intrusion by (a) object(s). P It is further advantageous in that object(s) in a space can be conveniently classified based on the object size. For example, a security system may be able to classify one or more approaching people.
[0015] A security system is provided for estimating an intrusion by at least one object in a space. The term "object" here means, for example, (a plurality of) people, (a plurality of) animals, (a plurality of) devices (e.g., (a plurality of) drones), etc. The term "estimation of intrusion" here means the estimation and / or prediction of malicious intrusion, espionage, illegal entry, etc. by (a plurality of) objects in a space. The security system includes a processor configured to obtain information on at least one first subspace of the space, and each of the at least one first subspaces has a respective first illumination level I1 within a first light intensity interval R1. Thus, the (a plurality of) first subspaces are (a plurality of) parts of the space having a first illumination level I1 within a first light intensity interval (range) R1. It should be noted that these first subspaces may have the same or different illumination levels I1. It will be understood that the (a plurality of) first subspaces may optionally be illuminated, i.e., by (day) light, artificial light, etc. The processor is further configured to obtain information on at least one second subspace of the space, the at least one second subspace being spatially separated from the at least one first subspace, and each of the at least one second subspaces has a respective second illumination level I2 within a second light intensity interval R2, where max(R1) < min(R2). Thus, the (a plurality of) second subspaces are (a plurality of) parts of the space each having a respective second illumination level I2 within a second light intensity interval R2, and the (a plurality of) second illumination levels I2 are higher than the (a plurality of) first illumination levels I1. Hereinafter, for simplicity, the first (second) light intensity interval may be denoted as the first (second) interval. It should be noted that these second subspaces may have the same or different illumination levels I2. It will be understood that the (a plurality of) second subspaces may optionally be illuminated, i.e., by (day) light, artificial light, etc.The security system further includes at least one sensor communicatively coupled to the processor, the at least one sensor configured to detect a movement of at least one object in the space. The term "sensor" herein means substantially any kind of sensor configured for monitoring, surveillance and / or detection of objects. The processor determines, based on the obtained information of the at least one first subspace and the obtained information of the at least one second subspace, a probability level L of an intrusion by the at least one object in the space based on the detected movement of the at least one object by the at least one sensor in at least one of the at least one first subspace. P The term "intrusion" here means an intrusion by object(s), a trespass, an act of espionage, etc. Thus, via the sensor(s), the processor determines a probability level L of an intrusion by object(s) in the space based on the detected movement of the object(s) in one or more of the first subspace(s). P The method is configured to estimate, predict and / or determine
[0016] As described above, the processor may further determine a second probability level L of an intrusion by the at least one object in the space based on the detected movement of the at least one object by the at least one sensor in at least one of the at least one second subspaces. P2 In this embodiment, the security system may be configured to estimate a probability level L of intrusion by at least one object in a space. P based on the detected movements of the object(s) in the first subspace(s) and the second subspace(s), the probability level L of an intrusion by the object(s) in the space. PFor example, the security system may detect motion(s) of object(s) moving within the first subspace(s) and / or from the first subspace(s) to the second subspace(s), thereby estimating a second probability level L of intrusion by the object(s). P2 may be estimated to be low compared to the object motions that take place (only) in the first sub-space(s). Thus, the security system may estimate a probability level L of intrusion by the object(s) in the space based on the object motions in the first and second sub-spaces having different illumination levels. P may be efficiently estimated.
[0017] According to an embodiment of the invention, the security system may further comprise at least one light source arranged to illuminate at least one first sub-space of the space with a respective first illumination level I1 within the first section R1. This embodiment is advantageous in that the security system can more conveniently maintain and / or control the illumination of the first sub-space(s) via its light source(s).
[0018] According to an embodiment of the invention, the at least one light source may be arranged to illuminate at least one second sub-space of the space with a respective second illumination level I2 within the second section R2. This embodiment is advantageous in that the security system can more conveniently maintain and / or control the illumination of the second sub-space(s) via its light source(s).
[0019] According to an embodiment of the present invention, the security system further comprises a control unit coupled to the at least one light source, the control unit being configured to control the at least one light source to illuminate at least one first sub-space of the space. This embodiment provides a higher degree of versatility for the control unit in terms of the illumination of the first sub-space(s) and thus the estimated probability level L of intrusion by the object(s). P For example, according to an embodiment of the present invention, the control unit may be further configured to control the at least one light source to illuminate at least one first sub-space of the space with a first illumination level I1 within a first interval R1.
[0020] According to an embodiment of the present invention, the control unit may further be configured to control the at least one light source to illuminate at least one second sub-space of the space with a second illumination level I2 within a second interval R2.
[0021] According to an embodiment of the present invention, the control unit is further configured to control the at least one light source to illuminate at least one first sub-space of the space with a first color C1 and at least one second sub-space of the space with a second color C2, the first color C1 being different from the second color C2. Thus, the control unit may be configured to control the light source(s) of the security system such that the first sub-space(s) and the second sub-space(s) are illuminated with the first color C1 and the second color C2, respectively. This embodiment allows the security system to provide a more advanced classification of the detected object(s) and thus an estimated probability level L of intrusion by the object(s) in the space. Pis advantageous in that the accuracy can be improved. For example, certain animals (e.g., cats) cannot see the color red, and it will be understood that this enables discrimination by a security system between the movements of (multiple) cats and the movements of (multiple) humans.
[0022] According to one embodiment of the present invention, a first probability level L of an estimated intrusion by at least one object in a space P1 exceeds a predetermined threshold T P In this case, the control unit further illuminates at least one first sub - space of the space with each third illumination level I3 in a third section R3, where max(R1)<min(R3), and illuminates at least one third sub - space (400) of the space adjacent to at least the first sub - space with each fourth illumination level I4 in a fourth section R4, where max(R4)<min(R3), and is configured to control at least one light source. The processor is configured to estimate the probability level L of an intrusion by at least one object in the space based on the detected movement of at least one object by at least one sensor in at least one of the at least one third sub - spaces. P Thus, when the security system estimates that the probability level L of an intrusion by (multiple) objects in the space P is relatively high (i.e., exceeds a predetermined threshold T P ), the control unit is configured to brighten the (multiple) first sub - spaces to the third illumination level I3 and further illuminate the (adjacent) (third) sub - spaces to a fourth illumination level I4 that is lower than the third illumination level I3. When one or more objects (persons) move from the (multiple) first and / or second sub - spaces to the (multiple) third sub - spaces, this can indicate the malicious intent of the (multiple) objects / (multiple) persons, whereby the probability level L of the intrusion estimated by the security system PIt will be appreciated that, in contrast, if the object(s) / person(s) remain in the first and / or second sub-space(s), this may contradict or impugn the malicious intent of the object(s) / person(s), thereby increasing the intrusion probability level L estimated by the security system. P In this way, the present embodiment allows the security system to reduce the probability level L P This is advantageous in that it allows for further improvement in the accuracy of the estimation of
[0023] According to one embodiment of the present invention, an estimated first probability level L of an intrusion by at least one object in a space is P1 is a given threshold T P If the second illumination level I2 exceeds the probability level L of intrusion by the object(s) in the space, the control unit may be further configured to control the at least one light source to illuminate the at least one first sub-space of the space and the at least one second sub-space of the space with a respective second illumination level I2 within the second interval R2. P is relatively high (i.e., a given threshold T P , the control unit may be configured to illuminate the first and second sub-spaces to a second (i.e., relatively high) illumination level I2. This embodiment is advantageous in that a plausible intruder may be scared off by the higher illumination setting by the security system, possibly disrupting a nefarious act such as a burglary and / or causing the plausible intruder to flee the space.
[0024] According to an embodiment of the present invention, the processor may be configured to determine whether the at least one object is a person. This embodiment may include determining an estimated probability level L of intrusion by the person(s) in the space based on detected movement of the person(s) by the at least one sensor. PIt is advantageous in that the estimated probability level of intrusion L P may be varied based on whether the processor determines that the object(s) is a person rather than a unit such as a drone.
[0025] According to an embodiment of the present invention, the at least one sensor may include at least one of an image-capturing device, a camera, a radar, a passive infrared (PIR) sensor, a microphone, a pressure sensor, a thermopile sensor, a time-of-flight proximity sensor, and a radio frequency (RF) sensor. Thus, the security system may include any combination of the illustrated sensor(s). This embodiment is advantageous in that the security system may include the sensor(s) most suitable for the space in which the object intrusion is to be presumed.
[0026] According to an embodiment of the invention, at least one of the at least one sensor may be arranged on at least one of the at least one light source. This embodiment is advantageous in that the sensor(s) may be conveniently arranged on the light source(s) arranged to illuminate the first and / or second sub-volume.
[0027] According to one example of the invention, at least one of the at least one sensor may be rotatable. This example shows that rotatable sensor(s) may improve the detection of object(s) and thus an even more accurately estimated probability level L of intrusion by person(s) in the space. P This is advantageous in that it can lead to
[0028] According to one embodiment of the present invention, the security system further includes an alarm, the alarm being configured to detect an estimated probability level L of intrusion by at least one object in the space. Pis a given threshold T P This embodiment is advantageous in that it can conveniently and efficiently intimidate object(s) (person(s)) that may have intentions of burglary, trespassing, espionage, etc. This embodiment is further advantageous in that it can warn people in a building (e.g., occupants of a house) that there is a relatively high probability that one or more malicious persons are in the vicinity of the building.
[0029] Further objects, features and advantages of the present invention will become apparent upon review of the following detailed disclosure, drawings and appended claims. Those skilled in the art will recognize that different features of the present invention can be combined to create embodiments other than those described below. [Brief description of the drawings]
[0030] This and other aspects of the invention will now be described in more detail with reference to the accompanying drawings, in which embodiments of the invention are shown. [Figure 1a] 1 illustrates a schematic of a security system according to an exemplary embodiment of the present invention; [Figure 1b] 3 illustrates a schematic representation of illumination levels according to an exemplary embodiment of the present invention; [Figure 2a] 1 illustrates a schematic of a security system according to an exemplary embodiment of the present invention; [Figure 2b] 3 illustrates a schematic representation of illumination levels according to an exemplary embodiment of the present invention; [Diagram 3] 1 illustrates a schematic diagram of a method according to an exemplary embodiment of the present invention; DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0031] FIG. 1a shows a schematic of a security system 100 according to an exemplary embodiment of the present invention. The security system 100 is configured for the estimation of an intrusion by at least one object 110 in a space 120. It should be noted that in FIG. 1a, the object(s) 110 are illustrated as person(s), but the object(s) 100 may be animal(s) or a device or unit (e.g., a drone). The space 120 may be substantially any space 120 or area, such as a yard, a parking space, etc., in the vicinity of a building (not shown), such as a house, a store, etc. Alternatively, the space 120 may be an indoor space, such as in a house, an office, a store, etc.
[0032] The security system 100 includes a processor 130. Here, the processor 130 is shown in a schematic manner, and it should be noted that the processor 130 may be provided in substantially any location in the security system 100, for example, in the cloud, in a (remote) computer (central), etc. It will be understood that communication with the processor 130 may be performed by wired or wireless technology. The processor 130 is configured to obtain (e.g., receive or acquire) information of illumination of at least one first sub-space 140a-c of the space 120. Here, the first sub-spaces 140a-c are illustrated as three (sub)spaces or (sub)areas in the space 120, but it should be noted that the number and / or size of the first sub-spaces 140a-c is arbitrary. Each of the first sub-spaces 140a-c has a respective first illumination level I1 within a first interval R1. The first sub-spaces 140a-c may have individual (i.e. different) first illumination levels I1, where all first illumination levels I1 are within the first interval R1. Alternatively, the first sub-spaces 140a-c may have the same first illumination level I1, where this first illumination level I1 is within the first interval R1. The first sub-spaces 140a-c may be illuminated arbitrarily, i.e. by (day) light, artificial light, etc. In an alternative example, the first illumination level I1 may be substantially zero, i.e. indicating dark (and the interval R1 may be substantially zero). The processor 130 is further configured to obtain information of at least one second sub-space 200a-e of the space 120. It should be noted that here the second sub-spaces 200a-e are illustrated as five (sub)spaces or (sub)areas in the space 120, but the number and / or size of the second sub-spaces 200a-e may be arbitrary. For example, the second sub-spaces 200a-e may constitute (illuminated) paths in a garden of a house. The second sub-spaces 200a-e are spatially separated from the first sub-spaces 140a-c.
[0033] Each of the second sub - spaces 200a - e has a respective second lighting level I2 within the second interval R2. The second sub - spaces 200a - e may have individual (i.e., different) second lighting levels I2, where all the second lighting levels I2 are within the second interval R2. Alternatively, the second sub - spaces 200a - e may have the same second lighting level I2, where this second lighting level I2 is within the second interval R2. The relationship between the (plural) first lighting levels I1 within the first interval R1 and the (plural) second lighting levels I2 within the second interval R2 is that max(R1) < min(R2) is satisfied. Thus, the (plural) second lighting levels I2 of the second sub - spaces 200a - e are higher than the (plural) first lighting levels I1 of the first sub - spaces 140a - c.
[0034] It will be understood that the lighting of the first sub - spaces 140a - c and / or the second sub - spaces 200a - e may result from sunlight (daylight), one or more light sources (such as in the vicinity of the space 120, e.g., lamp posts, etc.). In the example of FIG. 1a, the security system 100 includes one or more light sources 300 (e.g., ZigBee (registered trademark) light sources) arranged to illuminate the first sub - spaces 140a - c of the space 120 with respective first lighting levels I1 within the first interval R1 and the (plural) second sub - spaces 200a - e of the space 120 with respective second lighting levels I2 within the second interval R2.
[0035] Based on the information obtained from at least one of the first sub - spaces 140a - c and the information obtained from at least one of the second sub - spaces 200a - e, the processor 130 of the security system 100 determines a probability level L of an intrusion by at least one object 110 in the space 120 based on the detected movement of at least one object 110 by at least one sensor 160 in one or more of the first sub - spaces 140a - c. PAlternatively, or in combination with the ability to detect motion, the sensor(s) 160 may be configured to detect the presence of the object(s) 110. The sensor(s) 160 may be or include an image capture device, a camera, a radar, a passive infrared (PIR) sensor, a thermopile sensor, and a radio frequency (RF) sensor. Preferably, a single sensor 160 for motion (and / or presence) detection is provided, as illustrated in FIG. 1a. According to a non-disclosed example, one or more of the sensor(s) 160 may be disposed on at least one of the light sources 300. Furthermore, one or more of the sensor(s) 160 may be rotatable. Via the (several) sensors 160, the processor 130 determines a probability level L of an intrusion by the (several) objects 110 in the space 120 based on the detected movement of the (several) objects 110 in one or more of the first sub-spaces 110 having a (first) illumination level I1 that is lower than the (second) illumination level I2 of the second sub-spaces 200a-e. P In Fig. 1a, the operation of the processor 130 is illustrated diagrammatically as having as a (first) input the detected movement of the object(s) 110 from the sensor(s) 160 and as a (second) input obtained information of the illumination of at least one first sub-space 140a-c of the space 120, from which the processor 130 determines a probability level L of an intrusion by the object(s) 110 in the space 120. P may be estimated.
[0036] Based on the observation that malicious object(s) 110 attempting to intrude into the space 120 tend to avoid areas or spaces with (relatively) high illumination, such as exemplified by the second sub-spaces 200a-e of the space 120, and instead move within areas or spaces with lower illumination levels, such as exemplified by the first sub-spaces 140a-c of the space 120, the security system 100 determines a probability level L of intrusion by the object(s) 110 in the space 120. PIn other words, the security system 100 estimates, in the case of a detected movement of the object(s) 110 in the first sub-space 140a-c of the space 120, a probability level L of an intrusion by the object(s) 110 in the space 120. P Similarly, the security system 100 may estimate, in the case of a detected movement of the object(s) 110 in the second sub-spaces 200a-e of the space 120, a probability level L of an intrusion by the object(s) 110 in the space 120, P As an example, the security system 100 may estimate a first probability level L of intrusion by the object(s) 110 in the space 120 in case of a detected movement of the object(s) 110 in a first sub-space 140a-c of the space 120. P1 and in case of a detected movement of the object(s) 110 in the second sub-spaces 200a-e of the space 120, estimate a second probability level L of an intrusion by the object(s) 110 in the space 120. P2 Estimate L P1 >L P2 It is also possible to use the following.
[0037] FIG. 1a further illustrates that the processor 130 may further determine a probability level L of intrusion by the object(s) 110 in the space based on the detected movement of the object(s) 110 by the sensor(s) 160 in one or more of the second sub-spaces 200a-e, as indicated by the dashed line. P Thus, the operation of the processor 130 is shown diagrammatically to have as a (third) input an illumination of at least one second sub-space 200a-e of the space 120 and / or an input of a detected movement of the object(s) 110 in the second sub-space 200a-e from the sensor(s) 160, from which the processor 130 determines a probability level L of an intrusion by the object(s) 110 in the space 120. PBased on the observation that malicious object(s) 110 attempting to intrude into the space 120 are more likely to avoid areas or spaces with (relatively) high illumination, the security system 100 may estimate a probability level L of intrusion by the object(s) 110 in the space 120. P For example, the security system 100 may detect movement(s) of the object(s) 110 moving within the first sub-space(s) 140a-c and / or from the first sub-space(s) 140a-c to the second sub-space(s) 200a-e, thereby estimating a probability level L of intrusion by the object(s) 110. P may be estimated to be low compared to the movement of the object(s) taking place (only) in the first sub-space(s) 140a-c.
[0038] According to the example of FIG. 1a of the security system 100, the security system 100 further includes a control unit 310 coupled to at least one light source 310. The control unit 310 is configured to control the at least one light source 300 to illuminate the first sub-spaces 140a-c and / or the second sub-spaces 200a-e of the space 120. The light source(s) 300 may include one or more light-emitting diodes LED. For example, the control unit 310 may be configured to control the light source(s) 300 to illuminate the first sub-spaces 140a-c with a respective first illumination level I1 in a first zone R1 and / or the second sub-spaces 200a-e with a respective second illumination level I2 in a second zone R2. The control unit 310 is further configured to control the at least one light source 300 to illuminate the first sub-space 140a-c with a first color C1 and the second sub-space 200a-e with a second color C2, which may be different from the second color C2. For example, the control unit 310 may be configured to illuminate the first sub-space 140a-c and / or the second sub-space 200a-e such that a homogeneous brightness is provided for the animal(s) and an inhomogeneous brightness is provided for the people.
[0039] The security system 100 illustrated in FIG. The alarm 500 is based on an estimated probability level L of an intrusion by the object(s) 110 in the space. P is a given threshold T P If the threshold voltage Vcc exceeds 1 Vcc, the device is configured to generate an alarm signal.
[0040] FIG. 1b shows a schematic diagram of the relationship between the first level I1 in the first section R1 of the first sub-volumes 140a-c and the second level I2 in the second section R2 of the second sub-volumes 200a-e as shown in FIG. 1a. For example, the first sub-volumes 140a-c each have a first level I 11 , I 12 , I13 may have, and these may be the same (i.e., I 11 = I 12 = I 13 = I1), or may be different (as illustrated in FIG. 1b). All first levels I1 are within the first interval R1. Similarly, the second sub-spaces 200a - e may each have a second level I 21 , I 22 , I 23 , I 24 , I 25 , which may be the same or may be different (as illustrated in FIG. 1b). All second levels I2 are within the second interval R2. FIG. 1b shows that max(R1) < min(R2), i.e., the (plural) second illumination levels I2 of the second sub-spaces 200a - e are higher than the (plural) first illumination levels I1 of the first sub-spaces 140a - c.
[0041] FIG. 2a schematically shows an exemplary embodiment of the security system 100. The security system 100 has many features in common with the security system 100 illustrated in FIG. 1a, and it will be understood that FIG. 1a and the related text are also referred to for a better understanding. In FIG. 2a, the estimated probability level L P of intrusion by the (plural) objects 110 in the space 120 is at a predetermined threshold T PIf it exceeds, the control unit 310 is further configured to control the (plural) light sources 300 to illuminate the first sub-spaces 140a to 140c of the space 120 with the third illumination level I3 within the third interval R3, and as shown in FIG. 2b, max(R1) < min(R3). For example, compared to FIGS. 1a to 1b and the (plural) related text, the control unit 310 may be configured to control the (plural) light sources 300 such that the first sub-spaces 140a to 140c are illuminated at the same level as the second sub-spaces 200a to 200e, that is, I2 = I3 and / or R2 = R3. The control unit 310 is further configured to control the (plural) light sources 300 to illuminate at least one third sub-space 400a to 400b of the space 120, and the third sub-spaces 400a to 400b are adjacent to the first sub-spaces 140a to 140c. Here, the third sub-spaces 400a to 400b are illustrated as two (sub) spaces or (sub) areas in the space 120, but it should be noted that the number and / or size of the third sub-spaces 400a to 400b are arbitrary. The control unit 310 is configured to illuminate the third sub-spaces 400a to 400b with respective fourth illumination levels I4 within the fourth interval R4, and max(R4) < min(R3) may be satisfied. In an alternative example, the fourth illumination level I4 may indicate substantially zero, that is, darkness (and the interval R4 may also be substantially zero). The processor 130 estimates the probability level L P of an intrusion by at least one object in the space 120 based on the detected movement of the (plural) objects 110 by the (plural) sensors 160 in one or more of the (plural) third sub-spaces 400a to 400b. If one or more objects (persons) 110 move from the (plural) first sub-spaces 140a to 140c and / or the (plural) second sub-spaces 200a to 200e to the (plural) third sub-spaces 400a to 400b to avoid higher levels of illumination, this can indicate the malicious intent of the (plural) objects / (plural) persons 110, and thereby the probability level L of the intrusion estimated by the security system 100 PIt will be understood that it may be increased. In contrast, when the (plural) object / (plural) person 110 stays in the (plural) first and / or second sub-spaces 140a - c, 200a - e, this may conflict with or arouse suspicion of the malice of the (plural) object / (plural) person 110, whereby the probability level L of the intrusion estimated by the security system 100 P may be decreased.
[0042] Figure 3 schematically discloses a method 500 according to a second aspect of the present invention for estimating an intrusion by at least one object in a space. The method 500 includes obtaining 510 information on at least one first sub-space of the space, where the at least one first sub-space has a first illumination level I1 within a first interval R1. The method 500 further includes obtaining 520 information on at least one second sub-space of the space, where the at least one second sub-space is spatially separated from the at least one first sub-space and has a second illumination level I2 within a second interval R2, and max(R1) < min(R2). The method 500 further includes detecting 530 the movement of at least one object, and estimating 540 the probability level L of an intrusion by at least one object in the space based on the detected movement of the at least one object in at least one of the at least one first sub-spaces. P including.
[0043] Those skilled in the art will recognize that the present invention is in no way limited to the above preferred embodiments. On the contrary, many modifications and variations are possible within the scope of the appended claims. For example, the sizes, numbers, positionings, etc. of the first sub-spaces 140a - c, the second sub-spaces 200a - e, etc. may be different from those shown.
Claims
1. A security system for estimating intrusion by at least one object in a space, wherein the security system is Information on the illumination of at least one first subspace of the space is obtained, and each of the at least one first subspace is a first light intensity interval R １ Each of the first lighting levels I inside １ Having, Information on the illumination of at least one second subspace of the space is obtained, the at least one second subspace is spatially separated from the at least one first subspace, and each of the at least one second subspace is in a second light intensity interval R ２ Each of the second lighting levels I inside ２ It has max(R １ ) <min(R ２ ) A processor configured in such a way, A minimum of two sensors, each of which is communicatively coupled to the processor, wherein the minimum of two sensors is configured to detect the movement of the minimum of two objects in space. Includes, The processor, based on the obtained information regarding the illumination of the at least one first subspace and the obtained information regarding the illumination of the at least one second subspace, Based on the movement of the at least one object detected by the at least one sensor in at least one of the at least one first subspace, a first probability level L of intrusion by the at least one object in the space is determined. Ｐ１ To estimate, and Based on the movement of the at least one object detected by the at least one sensor in at least one of the at least one second subspace, a second probability level L of intrusion by the at least one object into the space is determined. Ｐ２ To estimate, configured so that L Ｐ１ > L Ｐ２ A security system that is
2. The security system according to claim 1, wherein the processor is configured to wirelessly obtain information about the lighting of at least one first subspace of the space, and the processor is configured to wirelessly obtain information about the lighting of at least one second subspace of the space.
3. The security system in question is The first light intensity interval R １ Each of the first lighting levels I inside １ At least one light source arranged to illuminate the at least one first subspace of the space, The security system according to claim 1, including the following:
4. At least one light source provides light in the second light intensity interval R ２ Each of the second lighting levels I inside ２ The security system according to claim 3, wherein the device is arranged to illuminate the at least one second subspace of the space.
5. The security system in question is A control unit coupled to at least one of the light sources, The security system according to claim 3 or 4, comprising, wherein the control unit is configured to control the at least one light source to illuminate the at least one first subspace of the space.
6. The control unit controls the first light intensity interval R １ Each of the first lighting levels I inside １ The security system according to claim 5, configured to control the at least one light source to illuminate the at least one first subspace of the space.
7. The control unit controls the second light intensity interval R ２ Each of the second lighting levels I inside ２ The security system according to claim 5, dependent on claim 4, configured to control the at least one light source to illuminate the at least one second subspace of the space.
8. The control unit is First color C １ by which the space has at least one first subspace, and Second color C ２ The space, by which the at least one second subspace of the space, The at least one light source is configured to be controlled to illuminate, The first color C １ This is the second color C mentioned above. ２ A security system different from the one described in claim 7.
9. The estimated first probability level L of intrusion by at least one object into the space Ｐ１ a predetermined threshold T Ｐ If it exceeds the above, the control unit will Third light intensity interval R ３ Each of the third lighting levels I ３ This illuminates the at least one first subspace of the space, and max(R １ ) <min(R ３ ) and Fourth light intensity interval R ４ Each of the fourth lighting levels I ４ This illuminates at least one third subspace of the space that is adjacent to at least the first subspace, and max(R ４ ) <min(R ３ ) It is configured to control the at least one light source, The processor determines a first probability level L of intrusion by the at least one object in the space, based on the movement detected by the at least one sensor in at least one of the at least one third subspace. Ｐ１ The security system according to claim 5, configured to estimate the following.
10. The estimated first probability level L of intrusion by at least one object into the space Ｐ１ a predetermined threshold T Ｐ If it exceeds the second light intensity interval R, the control unit will ２ Each of the second lighting levels I inside ２ The security system according to claim 5, dependent on claim 4, configured to control the at least one light source to illuminate the at least one first subspace of the space and the at least one second subspace of the space.
11. The security system according to claim 1, wherein the processor is configured to determine whether the at least one object is a person.
12. The security system according to claim 1, wherein the at least one sensor includes at least one of an image capture device, a camera, radar, a passive infrared (PIR) sensor, a thermopile sensor, a time-of-flight proximity sensor, a pressure sensor, a microphone array, and a radio frequency (RF) sensor.
13. The security system according to claim 5, wherein at least one of the at least one sensor is located on at least one of the at least one light source.
14. The security system includes an alarm, which is triggered at an estimated probability level L of intrusion by at least one object into the space. Ｐ a predetermined threshold T Ｐ The security system according to claim 1, configured to generate an alarm signal when it exceeds a certain value.
15. A method for estimating the intrusion of at least one object into space, wherein the method is To obtain illumination information for at least one first subspace of the space, each of the at least one first subspace is a first light intensity interval R １ Each of the first lighting levels I inside １ Having, To obtain illumination information for at least one second subspace of the space, wherein the at least one second subspace is spatially separated from the at least one first subspace, and each of the at least one second subspace is within a second light intensity interval R ２ Each of the second lighting levels I inside ２ It has max(R １ ) <min(R ２ ) that, To detect the movement of at least one object in the space, Based on the obtained information regarding the illumination of the at least one first subspace and the obtained information regarding the illumination of the at least one second subspace, a first probability level L of intrusion by the at least one object in the space is determined based on the detected movement of the at least one object in at least one of the at least one first subspaces. Ｐ１ To estimate, Based on the detected movement of the at least one object in at least one of the at least one second subspaces, the second probability level L of intrusion by the at least one object in the space is determined. Ｐ２ To estimate, Includes L Ｐ１ > L Ｐ２ The method.