Mobile goods movement control system
A mobile system with a camera and control unit addresses limitations in existing tracking technologies by providing real-time, accurate, and cost-effective monitoring of goods movement within vehicles, enhancing operational efficiency and reducing errors.
Patent Information
- Application Number
- FR2023009999
- Authority / Receiving Office
- FR · FR
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2023-09-21
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2043-09-21
AI Technical Summary
Existing systems for tracking goods during transportation are limited in their ability to monitor the movement of goods within vehicles, lacking fine management and effective data storage and processing, especially when using barcodes, RFID tags, GPS technology, and video surveillance.
A mobile system with a camera equipped with shooting devices, a control unit, and a display screen that uses identification codes, sensors, and databases to track and manage the movement of goods by capturing and processing images and data in real-time, allowing for accurate identification and monitoring of containers.
Enables real-time tracking and management of goods movement, reducing errors and enhancing operational efficiency by providing accurate identification and alerting operators to discrepancies, while being adaptable and cost-effective.
Smart Images

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Abstract
Description
Title of the invention: Mobile system for controlling the movement of goods Technical field of the invention
[0001] The present invention relates to a mobile system for controlling the movement of goods. By movement is meant the loading and unloading or transfer of goods areas or the inventory of which goods are in which location. Prior art
[0002] Systems using barcodes and RFID tags are used to track goods at warehouses and loading / unloading points. However, these systems are less effective at monitoring the continued movement of goods once they are loaded into a vehicle.
[0003] The term RFID is the acronym for "Radio Frequency Identification", in French, the acronym means "Radio Identification", it is a method for storing and retrieving data remotely. The system is activated by a transfer of electromagnetic energy between a radio tag and an RFID transmitter.
[0004] Tracking systems based on GPS technology are widely used to track the location of goods transport vehicles. These systems allow the real-time geographical position of vehicles to be known, but they have limitations in terms of fine management of goods inside the vehicles.
[0005] The term GPS is the acronym for "Global Positioning System", in French, the acronym means "Global Positioning System", it is a satellite positioning system, receivers located on the surface of the Earth or nearby can determine the location, time and speed using this information.
[0006] Video surveillance systems are used to monitor cargo, but they are often limited in terms of video data storage and processing capacity, which limits their usefulness for long-term monitoring. Presentation of the invention
[0007] The present invention aims to remedy these drawbacks with a completely innovative approach.
[0008] More specifically, the invention aims to provide a mobile technique for controlling the movement of goods for loading and unloading or transferring goods from area or inventory of goods.
[0009] In particular, an objective of the invention is to provide such a technique allowing to free itself from any other complex adjustment system.
[0010] Another objective of the invention is to provide such a technique which is inexpensive to implement in different flows of transfer of goods.
[0011] An objective of the invention is to provide such a technique, which can be easily adapted to existing systems.
[0012] These objectives, as well as others which will appear subsequently, are achieved, according to a first aspect, using a mobile system for controlling the movement of goods comprising a camera, said goods being on or in containers, each container comprising an identification code, said system being remarkable in that the camera comprises: - one or more shooting devices, said shooting device being one of the following elements: a camera, a photo camera, a point cloud reader, a reader for capturing different waves or measurements of physical phenomena; - a control unit, comprising a microcontroller controlling the system and comprising an internal database or communicating with an external database, a unit for processing at least one shot to identify the identification code or the shape of at least one container; and creating a list of the recognized identification codes, the data processing unit associates unique information with each shot data; a unit for triggering the camera according to at least one of the following parameters: a presence sensor, a distance sensor, an accelerometer, a position sensor, a trigger, a shape sensor, a first piece of information for interpreting an image from the camera, or a second piece of information for interpreting at least two images from the camera, an automatic lens or auto-focus type image focusing system; the data of at least one shot are compared with data in the system's internal database or the external database, or create the data in the system's internal database or the external database if the data does not exist, by the processing unit adapted to recognize the numbers and shapes of the containers or point clouds of the shot(s), and associate them with the identification codes; the data processing unit associates time information with the shooting data; - a display screen configured for displaying information on which information is visible, including at least the identification code of at least one container and one of the following parameters linked to said container: a destination, a dimension, a weight, a temperature, a positioning, a timestamp, or a history of one of the previous settings.
[0013] Thanks to these provisions, said display screen makes it possible to obtain information on data and information on the movement control of the mobile system.
[0014] According to one example, the first interpretation information of an image from the camera of one of the databases makes it possible to recognize a passage zone or an origin zone or a destination zone (example: recognition of a location where a pallet is loaded in a warehouse and / or the pallet is unloaded).
[0015] According to one example, the second interpretation information of at least two images from the camera of one of the databases allows the recognition of a loading or unloading or of an empty or non-empty pallet. According to one example, this recognition of a loading or unloading can also be done by using the sensor data. Thanks to these provisions, the system makes it possible to guarantee that a container has been placed in a location or a passage area or has been removed from it.
[0016] The invention is advantageously implemented according to the embodiments and variants set out below, which are to be considered individually or according to any technically effective combination.
[0017] In one embodiment, said shooting device further comprises a light adaptation system. By light adaptation system is meant one or more flashes, one or more light strips.
[0018] In one embodiment, said identification code being one of the following: - a wave frequency identification label, RFID type, integrated into the content; - a visual identification code in at least one or two dimensions; - a Bluetooth beacon; - a unique reference to a database formed by a chain of ordered blocks, called blockchain, integrated into the content and readable or detectable from the outside by a wave or data reading system; - string of numbers and / or readable characters; - images or drawings.
[0019] In one embodiment, the camera comprises a battery.
[0020] In one embodiment, the camera is electrically connected to a container holder or container moving cart or to an external battery. A container holder is for example a cart, AMR, any other mobility device.
[0021] The AMR (acronym for Autonomous Mobile Robot in English terminology for autonomous mobile robot) is a mobile robot capable of moving independently and autonomously without direct human intervention to accomplish tasks. specific.
[0022] In one embodiment, the system comprises a data communication module with a data transceiver making the information of the remote processing unit accessible.
[0023] In one embodiment, the processing unit compares the list of identification codes of each container to a theoretical list of identification codes of the containers contained in one of the databases, when there is a difference then the system indicates an incident on the display screen.
[0024] In one embodiment, the system may be triggered automatically based on preconfigured parameters, or manually.
[0025] In one embodiment, an antenna receiving a GPS radio wave or a wave from one or more Bluetooth beacons configured to obtain at least one position of said camera at a time and transmit each position to one of the databases spaced according to a time interval.
[0026] In one embodiment, the camera further comprises one of the following elements: a gyroscope, a temperature sensor, label printing.
[0027] In one embodiment, a heat source is applied to at least one container before taking pictures.
[0028] In one embodiment, the camera comprises a shape or image or logo recognition or shape or image or logo correlation module to perform recognition thereof.
[0029] In one embodiment, the camera sends the data from the database to a remotely accessible portal of the cloud or on-premise type in order to store the data and their traceability as well as the associated shots and the associated indicators: status, GPS position, indicators of sensors of any type.
[0030] In one embodiment, the system is associated at the time of its use with a control system having a motor and wheels for moving said control system, said control system is of the forklift type, an autonomous mobile robot or handling robot.
[0031] In one embodiment, the camera comprises a link for identifying the control system on which said system is positioned.
[0032] In one embodiment, said system comprises a wave or shock or movement damper.
[0033] In one embodiment, when an indicator of the database exceeds a predefined threshold, said system further comprises: - an alarm module comprising an alarm device cooperating with the control unit to send an incident report to a camera, a management terminal, or a database, said alarm device being: auditory, visual or silent, the camera, the management terminal having access to at least one item of data from the database.
[0034] In one embodiment, said data processing unit is configured to provide a real-time indicator of the evolution of a parameter of the containers: radiation, visual without tearing, odor, humidity, weight of a container support, deformation of the initial shape referenced in the database, gas detection, identification of elements or tasks of all types on images or point clouds, wave radiation, and / or the time-stamped position of the container.
[0035] In one embodiment, the system comprises an integrated device for traceability of internal or external physical measurements positioned in at least one of the containers, said integrated device for traceability of physical measurements is configured to give an indicator of the evolution of a parameter of the containers, said parameter being the radiation, the visual without tearing, the odor, the humidity, the weight of the container support, the detection of gas, the radiation of waves and / or the time-stamped position of the container.
[0036] In one embodiment the system identifies via image, video, barcode, position, or wave or point cloud interpretation the location into which the container is loaded or from which it is unloaded or the passage area through which the container passes.
[0037] In one embodiment, the system collaborates, shares and exchanges data with at least one terminal, said terminal cooperating with the camera, said terminal comprises: - another camera-type image capture device, or any other type of point cloud capture equipment, configured for image capture at the moment a container passes in front of said terminal, said terminal extracts and decodes the identification code of each container before sending said view to a database; - a control unit, comprising a microcontroller controlling the system and said database, a unit for processing at least one shot to identify the identification code of each container and create a list of recognized identification codes, the data processing unit associates unique information with the shot data; a unit for triggering the shot based on at least one motion detection cell, the data of at least one shot are compared with data in the database, or create the data in the database if they do not exist, by the processing unit adapted to recognize the numbers and shapes of the containers or point clouds of the shot(s), and associate them with the unique information; The data processing unit associates time information with the shooting data.
[0038] In a variant, the terminal comprises a flash, or any other continuous or instantaneous lighting device, connected to said shooting device which is triggered when the picture is taken;
[0039] According to a second aspect, the present invention relates to a set of a system according to the above description comprising the use of the system with several occurrences to identify the unique identification codes of the containers following several shots.
[0040] In one embodiment, the present invention relates to a system assembly according to the above description comprising the use of the system with several occurrences of operation in an iterative manner for the same batch of containers being stacked, configured to record with certainty the batch of non-visible containers once the stacking is finished.
[0041] In one embodiment, said system memorizes the different layers of containers constituting a set of containers, the layers being able to be produced horizontally, vertically or obliquely.
[0042] In one embodiment, said system makes it possible to identify statically or dynamically without stopping the trolley or AMR containers with their identification during the loading and unloading phases.
[0043] In one embodiment, the system uses artificial intelligence to optimize the processing of the system or the processing unit. Brief description of the figures
[0044] Other advantages, aims and characteristics of the present invention emerge from the following description given, for explanatory and in no way limiting purposes, with reference to the appended drawings, in which:
[0045] [Fig.l] represents a diagram of a camera;
[0046] [Fig.2] represents the camera with a control system;
[0047] [Fig.3] shows the camera at an angle to view containers;
[0048] [Fig.4] shows the camera from another angle to view containers;
[0049] [Fig.5] shows the camera with a forklift. Description of the embodiments
[0050] [Fig.l] shows a diagram of a camera.
[0051] The invention relates to a mobile system for controlling the movement of goods which comprises a camera 20.
[0052] The goods are on or in containers.
[0053] Each container has an identification code 22 or a shape or a logo.
[0054] The camera 20 comprises one or more camera devices 23. The image capture device 23 is one of the following: a camera, a photo camera, a point cloud reader, a reader for capturing different waves or measurements of physical phenomena.
[0055] The shooting device is or is not associated with a light adaptation system. It can be activated or designed from the outset with or without it.
[0056] Inside there is a control unit 25 which comprises a microcontroller 26 controlling the system and comprising a database or communicating with an external database, a processing unit 29 of at least one shot to identify the identification code 22 or the shape of at least one container; and create a list of the recognized identification codes.
[0057] The data processing unit 29 associates unique information with the shooting data.
[0058] A trigger unit 30 of the camera 20 as a function of at least one of the following parameters: a presence sensor, a distance sensor, an accelerometer, a position sensor, a trigger, a shape sensor, a first piece of information for interpreting an image from the camera 20, or a second piece of information for interpreting at least two images from the camera 20, an automatic focusing system 31 for the lens or for an auto-focus type image.
[0059] The data of at least one shot are compared with data from the database internal to the system or external, or create the data in the database internal to the system or external if the data does not exist, by the processing unit 29 adapted to recognize the numbers and shapes of the containers or point clouds of the shot(s), and associate them with the identification codes.
[0060] The data processing unit 29 associates temporal information with the shooting data.
[0061] The display screen 32 configured for the display of information on which information from the database is visible, including at least the identification code 22 of at least one container 21 and one of the following parameters linked to said container 21: a destination, a dimension, a weight, a temperature, a positioning, a timestamp or a history of one of the preceding parameters.
[0062] The microcontroller 26 is an integrated circuit which brings together the essential elements of a computer.
[0063] The database stores and memorizes at least one shot or its data to identify a 22.
[0064] A processing unit 29 is the driving element of a computer which interprets and executes the program instructions located in central memory.
[0065] A sensor is a device for capturing a physical phenomenon and restoring it in the form of a signal.
[0066] The processing unit 29 associates temporal information with data taken with the image capture device 23 or the sensors.
[0067] The information from the database is displayed with a display screen 32.
[0068] The display screen 32 displays data of at least one identification code of a container and its parameters.
[0069] Said identification code is one of the following: an identification label, a visual identification code, a connected tag or a reference to a database.
[0070] The identification tag is emitted by the wave frequency which is directly integrated into the content.
[0071] Wave frequency or wavelength is a physical quantity characteristic of a monochromatic wave in a homogeneous medium, defined as the distance separating two consecutive maxima of the amplitude. The wave frequency depends on the velocity or speed of propagation of the wave in the medium through which it passes.
[0072] The wave frequency is of the RFID type.
[0073] Said visual identification code is a bar code comprising at least one dimension, an alphanumeric series and a symbol.
[0074] The term “at least one dimension” refers to one or more dimensions, for example two dimensions.
[0075] Said connected beacon includes a technology called Bluetooth.
[0076] Bluetooth is a registered trademark meaning Bluetooth Low Energy, Bluetooth Smart, or beacon in English terminology, it corresponds to a short-range wireless connection technology, allowing digital devices to be connected.
[0077] According to one example, the reference to a database is called blockchain.
[0078] Blockchain is a technology for storing and transmitting information, transparent, secure, and operating without a central control body.
[0079] The camera 20 comprises a battery and is electrically connected to a container support or to an external battery.
[0080] An external battery is a portable electricity storage device for personal use.
[0081] The communication of information coming from the processing unit 29 is done with a communication module 33 by transmission and reception of data.
[0082] The transmission and reception of data comes from a transceiver.
[0083] A transceiver is an electronic device that can transmit and receive electromagnetic signals.
[0084] This communication method makes it possible to make information coming from the processing unit 29 accessible.
[0085] The system further comprises a data communication module 33 with a data transceiver making the information from the processing unit 29 accessible remotely.
[0086] The communication module 33 allows the transfer of data between the local processing unit and a remote processing unit, whether via a local network, a remote network or the Internet.
[0087] The remote processing unit can monitor data, performance and operations of the local processing unit in real time, enabling remote monitoring of systems, processes or equipment.
[0088] The information collected by the local processing unit can be aggregated and centralized remotely, facilitating large-scale data collection from multiple local units.
[0089] Remote technicians or experts can diagnose and resolve problems or anomalies without needing to physically visit the local processing unit site.
[0090] Software updates, configurations or data downloads can be performed remotely, simplifying system management and maintenance.
[0091] Data transferred between the local processing unit and the remote processing unit can be secured using encryption protocols, ensuring the confidentiality and integrity of the information.
[0092] The system comprises an antenna 35.
[0093] The antenna 35 receives a GPS signal. GPS signals are broadcast by the satellites of the global positioning system to enable satellite navigation.
[0094] This GPS signal makes it possible to know the exact position of the camera 20 and to transmit it to the database.
[0095] The exact position of the camera 20 is transmitted with a time interval.
[0096] The camera includes other tooling and detection elements. The other elements are: A gyroscope, a temperature sensor, and label printing.
[0097] A gyroscope is a sensor for detecting horizontal and vertical movements. It is a device detecting angular velocity, which is the change in rotation angle per unit time.
[0098] Said temperature sensor will measure the temperature in the system.
[0099] According to one embodiment, the temperature of the system is indicated on the screen display 32.
[0100] According to one embodiment, the label prints come from the user interface of the system or from a printer connected to the system.
[0101] Label printing allows tracking of physical or digital data in the system.
[0102] According to one example, the camera 20 comprises a heat source 36 which is sent to at least one container 21 before taking the pictures.
[0103] According to one example, before taking a picture, there is a heat source 36 which is sent to one or more containers.
[0104] The heat source 36 helps to analyze images or shapes of one or more containers.
[0105] The processing unit 29 compares the list of identification codes of each container 21 to a theoretical list of identification codes of the containers 21 contained in the internal or external database, when there is a difference then the system indicates an incident on the display screen 32.
[0106] The processing unit 29 is capable of quickly and accurately detecting any difference between the actual identification codes of the containers and those recorded in the database. This detection makes it possible to identify potential inconsistencies.
[0107] The system helps prevent container tracking errors by comparing actual data with expected data in real time. This reduces the risk of confusion or mishandling of containers.
[0108] When a difference is detected, the system issues an immediate alert, allowing corrective action to be taken quickly to resolve the problem. By reporting incidents on the display screen, the system provides a clear visual source to inform operators or users of potential problems.
[0109] Recording incidents and differences helps improve the traceability of containers throughout their life cycle.
[0110] The recognition module 34 makes it possible to accurately identify specific shapes, images, logos or correlations in visual data. This ensures reliable recognition of the target elements.
[0111] Automated recognition of shapes, images or logos makes it possible to automate processes that previously required human intervention, which can improve operational efficiency.
[0112] By eliminating the reliance on human observation, the recognition module 34 reduces the risk of human error, which can be crucial in applications requiring high accuracy.
[0113] In some cases, recognition can be performed in real time, allowing rapid response to visual data and timely decision making.
[0114] According to one example, the system further comprises an integrated device for traceability of internal or external physical measurements 37 positioned in at least one of the containers 21, said integrated device for traceability of physical measurements 37 is configured to give an indicator of the evolution of a parameter of the containers 21. The parameter is the radiation, the visual without tearing, the odor, the humidity, the weight of the container support 21, the gas detection.
[0115] According to one example, the system collaborates, shares and exchanges data with at least one terminal 38, said terminal 38 cooperating with the camera 20, said terminal 38 comprises: - another camera-type image-taking device, or any other type of point cloud capture equipment, configured for image-taking at the moment a container 21 passes in front of said terminal 38, said terminal 38 extracts and decodes the identification code of each container 21 before sending said view to a database; - a flash, or any other continuous or instantaneous lighting device, connected to the shooting device which is triggered when the picture is taken; - a control unit, comprising a microcontroller controlling the system and said database, a unit for processing at least one shot to identify the identification code 22 of each container 21 and create a list of the recognized identification codes, the data processing unit associates unique information with the shot data; a unit for triggering the shot as a function of at least one motion detection cell, the data of at least one shot are compared with data in the database, or create the data in the database if they do not exist, by the processing unit adapted to recognize the numbers and shapes of the containers 21 or the point clouds of the shot(s), and associate them with the unique information; The data processing unit associates time information with the shooting data.
[0116] [Fig.2] shows the camera with a control system.
[0117] The camera 20 is equipped with a high-resolution camera with real-time image capture capabilities. The camera can be controlled to orient and tilt to obtain optimal viewing angles for monitoring handling and logistics operations.
[0118] The camera 20 can be controlled remotely by the operator of the control system or by a supervisor using a user-friendly interface.
[0119] [Fig.3] shows the camera 20 at an angle to view containers.
[0120] Use of the system with multiple occurrences to identify the identification codes 22 of the containers 21 following multiple shots.
[0121] By capturing multiple shots of a container 21 with different angles, lighting, and conditions, the system has a better chance of obtaining high-quality images of the identification code. This increases the reliability of identification and reduces the risk of error.
[0122] By comparing multiple occurrences of the shots, the system can more effectively eliminate false positives in the event of incorrect identification. Due to stacking, it is impossible in some cases to access containers 21 in the center of a batch without having multiple shots.
[0123] In moving environments, such as automated warehouses, containers may be moved, rotated, or tilted. By using multiple shots, the system can track the container and identify its identification code even as it changes position.
[0124] By having multiple occurrences for each shot, the system can also detect recognition errors by comparing occurrences. This allows inconsistencies to be flagged and potential errors to be corrected.
[0125] [Fig.4] shows the camera from another angle to view containers.
[0126] The iterative approach ensures that each container 21 has a batch identification code 22 that is tracked and recorded at each stage of stacking. This ensures complete batch traceability, even when some containers 21 are no longer visible.
[0127] By using multiple occurrences to track containers 21, the system can reduce counting errors that might occur during manual or automated stacking.
[0128] Once the containers 21 are stacked and not visible, the system can extrapolate their location using previously recorded data. This allows an accurate record of their position to be maintained even if they are temporarily out of sight.
[0129] By having complete batch traceability, the system can optimize stacking space by strategically placing the containers 21 to maximize the use of available space.
[0130] If a container 21 is missing or incorrectly positioned during stacking, the system can identify these anomalies by comparing the recorded data with the actual configuration.
[0131] Memorizing the layers of each container 21 reduces the risk of error when stacking or moving the containers 21, because the system can alert in the event of incorrect arrangement.
[0132] The system can monitor the load distribution on each layer, helping to avoid potentially dangerous overloads or imbalances.
[0133] When you need to access a specific container 21 in a set, the system can indicate the layer and exact position of the container 21, which facilitates search and retrieval.
[0134] Better management of the layers of containers 21 can help reduce the risks of slipping or falling when moving or handling the assembly.
[0135] If changes are made to the arrangement of the layers, the system can detect them and update the memory to reflect the new configuration.
[0136] Storing the layers may require the use of advanced image processing algorithms to identify and record the positions and orientations of the containers 21.
[0137] The system can be configured to issue alerts in the event of unauthorized movements or unauthorized modifications of the layers, thereby enhancing security.
[0138] The system can use sensors and images to identify the loading and unloading direction in order to avoid using resources multiple times.
[0139] The system makes it possible to identify loading and unloading using a distance sensor using two measurements between a determined time space.
[0140] It is also possible to identify loading and unloading using the interpretation of the image size.
[0141] [Fig.5] shows the camera with a forklift.
[0142] The camera 20 is visible with a forklift.
[0143] According to one variant, it is equipped with an anti-shock device. List of reference signs
[0144] [Tables 1] References Designations 20 camera 21 container 22 identification code 23 camera device 24 light adaptation system 25 control unit 26 microcontroller 27 internal database 28 external database 29 processing unit 30 trigger unit 31 autofocus system 32 display screen 33 communication module 34 recognition module 35 antenna 36 heat source 37 integrated physical measurement traceability device 38 terminal 39 control system
Claims
Claims
1. Mobile system for controlling the movement of goods comprising a camera (20), said goods being on or in containers (21), each container (21) comprising an identification code (22), said system being characterized in that the camera (20) comprises: - one or more imaging devices (23), said imaging device (23) being one of the following: a camera, a photo camera, a point cloud reader, a reader for capturing different waves or measurements of physical phenomena; - a control unit (25), comprising a microcontroller (26) controlling the system and comprising an internal database (27) or communicating with an external database (28), a processing unit (29) of at least one shot to identify the identification code (22) or the shape of at least one container (21); and creating a list of the recognized identification codes, the data processing unit (29) associates information with each shot data;a triggering unit (30) of the camera (20) as a function of at least one of the following parameters: a presence sensor, a distance sensor, an accelerometer, a position sensor, a trigger, a shape sensor, a first piece of information for interpreting an image from the camera (20), or a second piece of information for interpreting at least two images from the camera (20), an automatic focusing system (31) for the lens or for an auto-focus type image; the data of at least one shot are compared with data from the internal database (27) of the system or the external database (28), or create the data in the internal database (27) of the system or the external database (28) if the data does not exist, by the processing unit (29) adapted to recognize the numbers and shapes of the containers (21) or point clouds of the shot(s), and associate them with the identification codes; the data processing unit (29) associates temporal information with the shooting data; - a display screen (32) configured for displaying information on which information is visible, at least the code identification (22) of at least one container (21) and one of the following parameters linked to said container (21): a destination, a dimension, a weight, a temperature, a positioning, a timestamp, or a history of one of the preceding parameters.
2. The system of claim 1, wherein said imaging device (23) further comprises a light adaptation system (24).
3. System according to claim 1, wherein said identification code (22) is one of the following elements: - a wave frequency identification tag, of the RFID type, integrated into the content; - a visual identification code in at least one dimension or two dimensions; - a Bluetooth beacon (Bluetooth Low Energy or Bluetooth Smart, registered trademark or beacon in English terminology); - a unique reference to a database formed by a chain of ordered blocks, called blockchain, integrated into the content and readable or detectable from the outside by a wave or data reading system; - string of numbers and / or readable characters; - images or drawings.
4. The system of claim 1, wherein the camera (20) comprises a battery.
5. The system of claim 1, wherein the camera (20) is electrically connected to a container holder (21) or to an external battery.
6. System according to claim 1, in which the system comprises a data communication module (33) with a data transceiver making the information of the processing unit (29) accessible remotely.
7. System according to claim 1, in which the processing unit (29) compares the list of identification codes of each container (21) with a theoretical list of identification codes of the containers (21) contained in one of the databases (27, 28), when there is a difference then the system indicates an incident on the display screen (32).
8. The system of claim 1, wherein an antenna (35) receiving a GPS radio wave or a wave from one or more Bluetooth beacons (Bluetooth Low Energy or Bluetooth Smart, registered trademark or beacon in English terminology) configured to obtain at least one position of said camera (20) at a time and transmit each position to one of the databases (27, 28) spaced according to a time interval.
9. The system of claim 1, wherein the camera (20) further comprises one of the following: a gyroscope, a temperature sensor, label printing.
10. System according to claim 1, in which a heat source (36) is sent to at least one container (21) before taking pictures.
11. System according to claim 1, in which the camera (20) comprises a module (34) for recognizing a shape or image or logo or for correlating a shape or image or logo to perform the recognition thereof.
12. System according to claim 1, in which the camera (20) sends the data from the database to a remotely accessible portal of the cloud or on-premise type in order to store the data and their traceability as well as the associated shots and the associated indicators: state, position, indicators of sensors of any type.
13. System according to claim 1, in which the system is associated at the time of its use with a control system (39) having a motor and wheels for moving said control system (39), said control system (39) is of the type of a forklift, an autonomous mobile robot or handling robot.
14. System according to claim 13, in which the camera (20) comprises a link for identifying the control system (39) on which said system is positioned.
15. The system of claim 1, wherein said system comprises a wave or shock or movement damper.
16. System according to claim 1, wherein when an indicator of the database exceeds a predefined threshold, said system further comprises: - an alarm module comprising an alarm device cooperating with the control unit (25) to send an incident report to a camera (20), a management terminal, or a database, said alarm device being: auditory, visual or silent, the camera (20), the management terminal having access to at least one data item of the database.
17. The system of claim 1, wherein said processing unit (29) data being configured to provide a real-time indicator of the evolution of a parameter of the containers (21): radiation, visual without tearing, odor, humidity, weight of a container support (21), deformation of the initial shape referenced in the database, gas detection, identification of elements or tasks of all types on images or point clouds, wave radiation, or the time-stamped position of the container.
18. System according to claim 1, in which the system comprises an integrated device for traceability of internal or external physical measurements (37) positioned in at least one of the containers (21), said integrated device for traceability of physical measurements (37) is configured to give an indicator of the evolution of a parameter of the containers (21), said parameter being the radiation, the visual without tearing, the odor, the humidity, the weight of the container support (21), the detection of gas, the radiation of waves or the time-stamped position of the container.
19. System according to claim 1, in which the system collaborates, shares and exchanges data with at least one terminal (38), said terminal (38) cooperating with the camera (20), said terminal (38) comprises: - another camera-type camera device, or any other type of point cloud capture equipment, configured for taking pictures at the moment a container (21) passes in front of said terminal (38), said terminal (38) extracts and decodes the identification code of each container (21) before sending said view to a database; - a control unit, comprising a microcontroller controlling the system and said database, a unit for processing at least one shot to identify the identification code (22) of each container (21) and create a list of recognized identification codes, the data processing unit associates information with the shot data;a triggering unit (30) for taking pictures based on at least one motion detection cell, the data of at least one picture is compared with data in the database, or creates the data in the database if it does not exist, by the processing unit adapted to recognize the numbers and shapes of the containers (21) or point clouds of the picture(s), and associates them with the unique information; the data processing unit associates temporal information; with the shooting data.
20. A system assembly according to one of the preceding claims comprising the use of the system with several occurrences to identify the identification codes of the containers (21) following several shots.
21. A system assembly according to claim 20 comprising the use of the system with several occurrences of operation in an iterative manner for the same batch of containers (21) being stacked, configured to record with certainty the batch of containers (21) not visible once the stacking is finished.
22. A system assembly according to claim 20 or 21, wherein said system stores the different layers of containers (21) constituting a set of containers (21), the layers being able to be made horizontally, vertically or obliquely.