WO2023236147A1

WO2023236147A1 - System for controlling lighting equipment, prediction apparatus, controller and method thereof

Info

Publication number: WO2023236147A1
Application number: PCT/CN2022/097905
Authority: WO
Inventors: Xiangwei Zhong; Changfu XIAO; Changyu HUANG
Original assignee: Tridonic Gmbh & Co Kg; Changfu XIAO
Priority date: 2022-06-09
Filing date: 2022-06-09
Publication date: 2023-12-14

Abstract

A system for controlling lighting equipment, a prediction apparatus, a controller and methods thereof. The system includes: a prediction apparatus, configured to detect a passenger with tendency to take off a train carriage, according to a picture captured inside the train carriage; and a controller, configured to generate a controlling signal according to a detecting result of the prediction apparatus, the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station, when there is at least one passenger with tendency to take off the train carriage being detected, the controlling signal controlling the driver to dim brightness of the lighting equipment up to a predetermined level before the train arrives at the station. According to the present disclosure, a passenger with tendency to take off a train carriage can be detected according to pictures captured inside the train carriage, the detected result will be used to control a light at a station, therefore, the light will turn brighter before the train arrives.

Description

SYSTEM FOR CONTROLLING LIGHTING EQUIPMENT, PREDICTION APPARATUS, CONTROLLER AND METHOD THEREOF

TECHNICAL FIELD

Embodiments of the present disclosure generally relate to the field of lighting, and more particularly, to a system for controlling lighting equipment, a prediction apparatus, a controller and method thereof.

BACKGROUND

This section introduces aspects that may facilitate better understanding of the present disclosure. Accordingly, the statements of this section are to be read in this light and are not to be understood as admissions about what is in the prior art or what is not in the prior art.

The subway platform lights are always on. These lights are set to same brightness as it is inconvenience to manually adjust the brightness based on the existence of the people. A current solution is provided to change the brightness of a certain area, for example, DALI (Digital Addressable Lighting Interface) dimming commands may be sent to a group of lights to adjust the brightness of the area.

In a subway station or train station, for the empty area (for example, platform of suburb's station) , lights need to be always on without knowing the chance of taking off passengers.

There is a possible way to control the light in empty area by using PIR (pyroelectric infrared) sensor. For example, when a door of a train is open, there is a passenger taking off the train, the PIR sensor may detect the passenger, and send the signal to a controller, which may send DALI dimming commands to a driver to control the brightness of the light.

In one example, the light in empty area may work in an energy-saving mode under which the brightness of the light is about 40%of normal brightness, when the PIR sensor detects a passenger taking off the train, the controller may control the driver to drive the light to 100%of normal brightness.

SUMMARY

The inventor found that: in the possible way mentioned above, the empty area is dark when the train arrives, and the light will turn brighter only after a passenger takes off; that is to say, passenger’s tendency of taking off the train will not be predicted, thus the light will not turn brighter before the train arrives.

In general, embodiments of the present disclosure provide a system for controlling lighting equipment, a prediction apparatus, a controller and methods thereof. In the embodiments, a passenger with tendency to take off a train carriage can be detected according to pictures captured inside the train carriage, the detected result will be used to control a light at a station, therefore, the light will turn brighter before the train arrives.

In a first aspect, there is provided a system for controlling lighting equipment, the system including:

a prediction apparatus, configured to detect a passenger with tendency to take off a train carriage, according to a picture captured inside the train carriage; and

a controller, configured to generate a controlling signal according to a detecting result of the prediction apparatus, the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station,

when there is at least one passenger with tendency to take off the train carriage being detected, the controlling signal controlling the driver to dim brightness of the lighting equipment up to a predetermined level before the train arrives at the station.

In at least one embodiment, the prediction apparatus includes:

a prediction unit, configured to detect the passenger with tendency to take off the train carriage by using artificial intellectual (AI) graphic identification algorithm, and generate a first signal according to the detecting result.

In at least one embodiment, the prediction unit detects the passenger with tendency to take off the train carriage, according to the passenger in a first area near a door of the train carriage.

In at least one embodiment, when the passenger is standing in the first area, the prediction unit determines the passenger has tendency to take off the train carriage; or

when the passenger is standing in the first area and performing predetermined action, the prediction unit determines the passenger has tendency to take off the train carriage.

In at least one embodiment, the prediction unit starts to detect the passenger with tendency to take off the train carriage at a predetermined moment before the train arrives at the station.

In at least one embodiment, the prediction apparatus further includes:

a communication unit, configured to send the first signal to the controller via wireless communication.

In at least one embodiment, when the lighting equipment in the predetermined area of the station is in an energy-saving mode, the controller generates the controlling signal to control the driver to dim brightness of the lighting equipment up to the predetermined level according to the detecting result.

In a second aspect, there is provided a prediction apparatus, including:

a prediction unit, configured to detect a passenger with tendency to take off a train carriage according to a picture captured inside the train carriage, and generate a first signal according to the detecting result,

when there is at least one passenger with tendency to take off the train carriage being detected, the first signal is generated.

In at least one embodiment, the prediction unit detects the passenger with tendency to take off the train carriage by using artificial intellectual (AI) graphic identification algorithm.

In at least one embodiment, the prediction apparatus further includes:

a communication unit, configured to send the first signal to a controller via wireless communication.

In a third aspect, there is provided a controller, configured to:

generate a controlling signal according to a detecting result of a passenger with tendency to take off a train carriage according to a picture captured inside a train carriage,

the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station,

In at least one embodiment, when the lighting equipment in the predetermined area of the station is in an energy-saving mode, the controller generates the controlling signal to control the driver to dim brightness of the lighting equipment up to the predetermined level.

In a fourth aspect, there is provided a method of a system for controlling lighting equipment, the method including:

to detect a passenger with tendency to take off a train carriage, according to a picture captured inside the train carriage; and

to generate a controlling signal according to a detecting result, the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station,

In a fifth aspect, there is provided a method of a prediction apparatus, the method including:

to detect a passenger with tendency to take off a train carriage according to a picture captured inside the train carriage, and generate a first signal according to the detecting result,

In a sixth aspect, there is provided a method of a controller, the method including:

to generate a controlling signal according to a detecting result of a passenger with tendency to take off a train carriage according to a picture captured inside a train carriage,

In a seventh aspect, there is provided a non-transitory computer readable storage medium storing a plurality of programs for execution by an electronic apparatus having one or more processing units, wherein the plurality of programs, when executed by the one or more processing units, cause the electronic apparatus to perform the method of any one of fourth aspect to sixth aspect.

In a seventh aspect, there is provided a computer program product including one or more programs executable by a computer apparatus having one or more processors, wherein when the one or more programs are executed by the one or more processors, the one or more programs cause the computer apparatus to execute the method of any one of fourth aspect to sixth aspect.

In a seventh aspect, there is provided an electronic apparatus including:

one or more processing units;

memory coupled to the one or more processing units; and

a plurality of programs stored in the memory that, when executed by the one or more processing units, cause the electronic apparatus to perform the method any one of fourth aspect to sixth aspect.

According to various embodiments of the present disclosure, a passenger with tendency to take off a train carriage can be detected according to pictures captured inside the train carriage, the detected result will be used to control a light at a station, therefore, the light will turn brighter before the train arrives.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and other aspects, features, and benefits of various embodiments of the disclosure will become more fully apparent, by way of example, from the following detailed description with reference to the accompanying drawings, in which like reference numerals or letters are used to designate like or equivalent elements. The drawings are illustrated for facilitating better understanding of the embodiments of the disclosure and not necessarily drawn to scale, in which:

Fig. 1 is a diagram of system for controlling lighting equipment in accordance with an embodiment of the present disclosure.

Fig. 2 is a flowchart of working flow of system 100 for controlling lighting equipment.

Fig. 3 shows a flowchart of a method of a system 100 for controlling lighting equipment.

Fig. 4 shows a flowchart of a method of a prediction apparatus 10.

Fig. 5 shows a flowchart of a method of a controller 50.

FIG. 6 is a schematic diagram of a structure of the electronic apparatus of the embodiment of this disclosure.

DETAILED DESCRIPTION

The present disclosure will now be discussed with reference to several example embodiments. It should be understood that these embodiments are discussed only for the purpose of enabling those skilled persons in the art to better understand and thus implement the present disclosure, rather than suggesting any limitations on the scope of the present disclosure.

As used herein, the terms “first” and “second” refer to different elements. The singular forms “a” and “an” are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms “comprises, ” “comprising, ” “has, ” “having, ” “includes” and/or “including” as used herein, specify the presence of stated features, elements, and/or components and the like, but do not preclude the presence or addition of one or more other features, elements, components and/or combinations thereof. The term “based on” is to be read as “based at least in part on. ” The term “one embodiment” and “an embodiment” are to be read as “at least one embodiment. ” The term “another embodiment” is to be read as “at least one other embodiment. ” Other definitions, explicit and implicit, may be included below.

First aspect of embodiments

A system for controlling lighting equipment is provided in a first aspect of embodiments.

As shown in Fig. 1, a system 100 for controlling lighting equipment includes a prediction apparatus 10 and a controller 20.

The prediction apparatus 10 is configured to detect a passenger Po with tendency to take off a train carriage 201, according to a picture captured inside the train carriage 201. For example, the picture may be captured by a camera 202 inside the train carriage 201.

The controller 20 is configured to generate a controlling signal Cs according to a detecting result of the prediction apparatus 10. In at least one embodiment, the controller 20 may be clod server.

The controlling signal Cs is used to control a driver 30 to drive a lighting equipment 40 in a predetermined area 50 of a station. The predetermined area 50 may be an area near a door 2012 of the train carriage 201 when a train 200 arrives at the station.

When there is at least one passenger Po with tendency to take off the train carriage 201 being detected, the controlling signal Cs sent by the controller 20 controls the driver 30 to dim brightness of the lighting equipment 40 up to a predetermined level before the train 200 arrives the station.

According to the first aspect of the embodiments, a passenger with tendency to take off a train carriage can be detected according to pictures captured inside the train carriage, the detected result will be used to control a light equipment at a station, therefore, the light equipment will turn brighter before the train arrives at the station.

As shown in Fig. 1, the prediction apparatus 10 includes a prediction unit 101. The prediction unit 101 is configured to detect the passenger Po with tendency to take off the train carriage 201 by using artificial intellectual (AI) graphic identification algorithm, and generate a first signal S1 according to the detecting result. In one example, the artificial intellectual (AI) graphic identification algorithm may be skeleton-based action recognition algorithm, by which a person with certain action or gesture in the picture will be recognized. As for the working principle of the prediction apparatus 10, related art may be referred to get more details.

In at least one embodiment, the prediction unit 101 detects the passenger Po with tendency to take off the train carriage 201, according to the passenger Po in a first area 2011 near a door 2012 of the train carriage 201.

For an example, when the passenger Po is standing in the first area 2011, the prediction unit 101 determines the passenger Po having tendency to take off the train carriage 201.

For another example, when the passenger Po is standing in the first area 2011 and performing predetermined action, the prediction unit 101 determines the passenger Po having tendency to take off the train carriage 201. The predetermined action may be carrying a bag, and/or carrying a suitcase, and/or facing the door 2012, and/or moving towards the door 2012, etc.

In at least one embodiment, the size of the first area 2011 may be fixed. The location of the first area 2011 may be changed according to information which indicates which door will be open after the train 20 arriving at the station. For example, when the information indicates a right door will be open at the station, the prediction unit 101 will change the first area 2011 to a location near the right door of the train carriage 201; when the information indicates a left door will be open at the station, the prediction unit 101 will change the first area 2011 to a location near the left door of the train carriage 201.

In at least one embodiment, the prediction unit 101 may start the detecting at a predetermined moment before the train 200 arrives at the station. The predetermined moment may be several seconds (for example, 3 seconds) before the train 200 arrives at the station. For example, the train 200 or a server (not shown) may broadcast signal, to notify the train 200 will arrive at the station; the prediction unit 101 may start the detecting when receiving the broadcast signal, or the prediction unit 101 may calculate the moment to start the detecting according to the received broadcast signal.

The information which indicates which door will be open after the train 20 arriving at the station will be included in the broadcast signal.

According to Fig. 1, the prediction apparatus 10 further includes a communication unit 102. The communication unit 102 is configured to send the first signal S1 generated by the prediction unit 101 to the controller 20 via wireless communication. In one example, the wireless communication may be Bluetooth communication.

In at least one embodiment, the communication unit 102 may further receive the broadcast signal.

When or after receiving the first signal S1, the controller 20 may generate the controlling signal Cs according to a working mode of the lighting equipment 40 in the predetermined area 50 of the station.

For example, when the lighting equipment 40 in the predetermined area 50 of the station is working under an energy-saving mode (for example, the brightness of the light equipment 40 is about 40%of normal brightness) , the controller 20 generates the controlling signal Cs to control the driver 30 to dim brightness of the lighting equipment 40 up to the predetermined level (for example, the brightness of the light equipment 40 is dimmed up to 100%of normal brightness) .

Fig. 2 is a flowchart of working flow of system 100 for controlling lighting equipment. As shown in Fig. 2, the working flow 2000 include the following blocks:

Block 21: a prediction apparatus 10 receives broadcast signal which indicates the train 200 will arrive at the station in several seconds (for example, 3 seconds) .

Block 22: the prediction apparatus 10 starts to analyze whether there is a passenger Po with tendency to take off the train carriage 201, according to pictures taken by the camera 202 inside the train carriage 201; if yes, there is at least one passenger Po with tendency to take off the train carriage 201, go to block 23; if no, there is no passenger Po with tendency to take off the train carriage 201, the prediction apparatus 10 stands by.

Block 23: the prediction apparatus 10 generates a first signal S1, and sends the first signal S1 to a controller 20 via wireless communication.

Block 24: the controller 20 determines whether a lighting equipment 40 in a predetermined area 50 of the station is working under an energy-saving mode, if yes, go to block 25, if no, the controller 20 stands by.

Block 25: the controller 200 generates a controlling signal Cs and sends the controlling signal Cs to a driver 30. The controlling signal Cs will control the driver 30 to dim brightness of the lighting equipment 40 up to a predetermined level before the train 200 arrives at the station.

The following advantages will be achieved through the first aspect of the embodiments:

1. It is eco-friendly that massively saves energy for stations (especially suburbs' stations) ;

2. No need to set up PIR sensors for each train which saves 60 sensors per train, it will be more acceptable for the customers which need no modification to the trains and massively save modification costs;

3. It will only need software installment in which all the cameras are linked to the system 100, and the driver 30 may also link to the system 100 by API (Application Programming Interface) ;

4. These embodiments will also bring no changes to the passengers since they can feel no different that benefits from the accurate dimming time control.

Second aspect of embodiments

A method of a system for controlling lighting equipment is provided in the second aspect of embodiments. The system for controlling lighting equipment is provided in the first aspect of embodiments. The same contents as those in the first aspect of embodiments are omitted.

As shown in Fig. 3, the method 300 includes:

Block 31: a prediction apparatus detects a passenger with tendency to take off a train carriage, according to a picture captured inside the train carriage; and

Block 32: a controller generates a controlling signal according to a detecting result; the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station.

In block 32, when there is at least one passenger with tendency to take off the train carriage being detected, the controlling signal controlling the driver to dim brightness of the lighting equipment up to a predetermined level before the train arrives at the station.

Detailed description for block 31 and block 32 will be referred to the description for prediction apparatus 10 and controller 20, respectively.

A method of a prediction apparatus is further provided in the second aspect of embodiments. The prediction apparatus 10 is provided in the first aspect of embodiments. The same contents as those in the first aspect of embodiments are omitted.

Fig. 4 shows a flowchart of a method of a prediction apparatus 10.

As shown in Fig. 4, the method 400 includes:

Block 41: to detect a passenger with tendency to take off a train carriage according to a picture captured inside the train carriage, and generate a first signal according to the detecting result.

In block 41, when there is at least one passenger with tendency to take off the train carriage being detected, the first signal is generated.

Detailed description for block 41 will be referred to the description for prediction apparatus 10.

A method of a controller is further provided in the second aspect of embodiments. The controller 20 is provided in the first aspect of embodiments. The same contents as those in the first aspect of embodiments are omitted.

Fig. 5 shows a flowchart of a method of a controller 50.

As shown in Fig. 5, the method 500 includes:

Block 51: to generate a controlling signal according to a detecting result of a passenger with tendency to take off a train carriage according to a picture captured inside a train carriage 201.

In block 51, the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station. When there is at least one passenger with tendency to take off the train carriage being detected, the controlling signal controlling the driver to dim brightness of the lighting equipment up to a predetermined level before the train arrives at the station.

Detailed description for block 51 will be referred to the description for controller 50.

Third aspect of embodiments

An electronic apparatus is provided in the third aspect of embodiments.

FIG. 6 is a schematic diagram of a structure of the electronic apparatus of the embodiment of this disclosure. As shown in FIG. 6, an electronic apparatus 600 may include one or more processor 610 and a memory 620, the memory 620 being coupled to the processor 610. The memory 620 may store various data, and furthermore, it may store a program 630 for data processing, and execute the program 630 under control of the processor 610.

In one implementation, the functions of the prediction apparatus 10 and/or controller 20 may be integrated into the processor 610. The processor 610 may be configured to carry out the

methods

300, 400 or 500 described in the second aspect of embodiment of this disclosure.

Furthermore, as shown in FIG. 6, the electronic apparatus 600 may include a transceiver 640, and an antenna 650, etc. Functions of the above components are similar to those in the related art, and shall not be described herein any further. It should be noted that the electronic apparatus 600 does not necessarily include all the parts shown in FIG. 6. Furthermore, the electronic apparatus 600 may include parts not shown in FIG. 6, and the related art may be referred to.

In this disclosure, a non-transitory computer readable storage medium is provided. The non-transitory computer readable storage medium stores a plurality of programs for execution by an electronic apparatus having one or more processing units, and the plurality of programs, when executed by the one or more processing units, cause the electronic apparatus to perform the

method

300, 400 or 500.

In this disclosure, a computer program product is provided. The computer program product includes one or more programs executable by a computer apparatus having one or more processors. When the one or more programs are executed by the one or more processors, the one or more programs cause the computer apparatus to execute the

method

300, 400 or 500.

The above apparatuses and methods of this disclosure may be implemented by hardware, or by hardware in combination with software. This disclosure relates to such a computer-readable program that when the program is executed by a logic device, the logic device is enabled to carry out the apparatus or components as described above, or to carry out the methods or steps as described above. This disclosure also relates to a storage medium for storing the above program, such as a hard disk, a floppy disk, a CD, a DVD, and a flash memory, etc.

The methods/apparatuses described with reference to the embodiments of this disclosure may be directly embodied as hardware, software modules executed by a processor, or a combination thereof. For example, one or more functional block diagrams and/or one or more combinations of the functional block diagrams shown in the drawings may either correspond to software modules of procedures of a computer program, or correspond to hardware modules. Such software modules may respectively correspond to the steps shown in the drawings. And the hardware module, for example, may be carried out by firming the soft modules by using a field programmable gate array (FPGA) .

The soft modules may be located in an RAM, a flash memory, an ROM, an EPROM, and EEPROM, a register, a hard disc, a floppy disc, a CD-ROM, or any memory medium in other forms known in the art. A memory medium may be coupled to a processor, so that the processor may be able to read information from the memory medium, and write information into the memory medium; or the memory medium may be a component of the processor. The processor and the memory medium may be located in an ASIC. The soft modules may be stored in a memory of a mobile terminal, and may also be stored in a memory card of a pluggable mobile terminal. For example, if equipment (such as a mobile terminal) employs a MEGA-SIM card of a relatively large capacity or a flash memory device of a large capacity, the soft modules may be stored in the MEGA-SIM card or the flash memory device of a large capacity.

One or more functional blocks and/or one or more combinations of the functional blocks in the drawings may be realized as a universal processor, a digital signal processor (DSP) , an application-specific integrated circuit (ASIC) , a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware component or any appropriate combinations thereof carrying out the functions described in this application. And the one or more functional block diagrams and/or one or more combinations of the functional block diagrams in the drawings may also be realized as a combination of computing equipment, such as a combination of a DSP and a microprocessor, multiple processors, one or more microprocessors in communication combination with a DSP, or any other such configuration.

This disclosure is described above with reference to particular embodiments. However, it should be understood by those skilled in the art that such a description is illustrative only, and not intended to limit the protection scope of this disclosure. Various variants and modifications may be made by those skilled in the art according to the principle of this disclosure, and such variants and modifications fall within the scope of this disclosure.

Claims

A system for controlling lighting equipment, the system comprising:

a prediction apparatus, configured to detect a passenger with tendency to take off a train carriage, according to a picture captured inside the train carriage; and

a controller, configured to generate a controlling signal according to a detecting result of the prediction apparatus, the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station,

wherein, when there is at least one passenger with tendency to take off the train carriage being detected, the controlling signal controlling the driver to dim brightness of the lighting equipment up to a predetermined level before the train arrives at the station.
The system for controlling lighting equipment according to claim 1, wherein,

the prediction apparatus comprises:

a prediction unit, configured to detect the passenger with tendency to take off the train carriage by using artificial intellectual (AI) graphic identification algorithm, and generate a first signal according to the detecting result.
The system for controlling lighting equipment according to claim 2, wherein,

the prediction unit detects the passenger with tendency to take off the train carriage, according to the passenger in a first area near a door of the train carriage.
The system for controlling lighting equipment according to claim 3, wherein,

when the passenger is standing in the first area, the prediction unit determines the passenger has tendency to take off the train carriage; or

when the passenger is standing in the first area and performing predetermined action, the prediction unit determines the passenger has tendency to take off the train carriage.
The system for controlling lighting equipment according to claim 2, wherein,

the prediction unit starts to detect the passenger with tendency to take off the train carriage at a predetermined moment before the train arrives at the station.
The system for controlling lighting equipment according to claim 2, wherein,

the prediction apparatus further comprises:

a communication unit, configured to send the first signal to the controller via wireless communication.
The system for controlling lighting equipment according to claim 1, wherein,

when the lighting equipment in the predetermined area of the station is in an energy-saving mode, the controller generates the controlling signal to control the driver to dim brightness of the lighting equipment up to the predetermined level according to the detecting result.
A prediction apparatus, comprising:

a prediction unit, configured to detect a passenger with tendency to take off a train carriage according to a picture captured inside the train carriage, and generate a first signal according to the detecting result,

wherein, when there is at least one passenger with tendency to take off the train carriage being detected, the first signal is generated.
The prediction apparatus according to claim 8, wherein,

the prediction unit detects the passenger with tendency to take off the train carriage by using artificial intellectual (AI) graphic identification algorithm.
The prediction apparatus according to claim 8, wherein,

when the passenger is standing in the first area, the prediction unit determines the passenger has tendency to take off the train carriage; or

when the passenger is standing in the first area and performing predetermined action, the prediction unit determines the passenger has tendency to take off the train carriage.
The prediction apparatus according to claim 8, wherein,

the prediction unit starts to detect the passenger with tendency to take off the train carriage at a predetermined moment before the train arrives at the station.
The prediction apparatus according to claim 8, wherein,

the prediction apparatus further comprises:

a communication unit, configured to send the first signal to a controller via wireless communication.
A controller, configured to:

generate a controlling signal according to a detecting result of a passenger with tendency to take off a train carriage according to a picture captured inside a train carriage,

the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station,

wherein, when there is at least one passenger with tendency to take off the train carriage being detected, the controlling signal controlling the driver to dim brightness of the lighting equipment up to a predetermined level before the train arrives at the station.
The controller according to claim 13, wherein,

when the lighting equipment in the predetermined area of the station is in an energy-saving mode, the controller generates the controlling signal to control the driver to dim brightness of the lighting equipment up to the predetermined level.
A method of a system for controlling lighting equipment, the method comprising:

to detect a passenger with tendency to take off a train carriage, according to a picture captured inside the train carriage; and

to generate a controlling signal according to a detecting result, the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station,

wherein, when there is at least one passenger with tendency to take off the train carriage being detected, the controlling signal controlling the driver to dim brightness of the lighting equipment up to a predetermined level before the train arrives at the station.
A method of a prediction apparatus, the method comprising:

to detect a passenger with tendency to take off a train carriage according to a picture captured inside the train carriage, and generate a first signal according to the detecting result,

wherein, when there is at least one passenger with tendency to take off the train carriage being detected, the first signal is generated.
A method of a controller, the method comprising:

to generate a controlling signal according to a detecting result of a passenger with tendency to take off a train carriage according to a picture captured inside a train carriage,

the controlling signal being used to control a driver to drive a lighting equipment in predetermined area of a station,

wherein, when there is at least one passenger with tendency to take off the train carriage being detected, the controlling signal controlling the driver to dim brightness of the lighting equipment up to a predetermined level before the train arrives at the station.
A non-transitory computer readable storage medium storing a plurality of programs for execution by an electronic apparatus having one or more processing units, wherein the plurality of programs, when executed by the one or more processing units, cause the electronic apparatus to perform the method of claims 15-17.
A computer program product comprising one or more programs executable by a computer apparatus having one or more processors, wherein when the one or more programs are executed by the one or more processors, the one or more programs cause the computer apparatus to execute the method of any one of claims 15-17.
An electronic apparatus comprising:

one or more processing units;

memory coupled to the one or more processing units; and

a plurality of programs stored in the memory that, when executed by the one or more processing units, cause the electronic apparatus to perform the method of claims 15-17.