Fully automated establishment of at least one communication channel to at least one mobile terminal

Abstract

The invention relates to a fully automated system and method for configuring mobile terminals, which uses advanced imaging sensors, geolocation-based data, machine learning and, according to one aspect of the present invention, artificial intelligence in order to enable the efficient and precise establishment of communication channels. This comprises automatically detecting and selecting potential communication partners on the basis of presets and environmental parameters. The invention is in the field of mobile communication technology, in particular the development of automated systems for facilitating communication processes using integrated sensors and AI technologies. The invention also relates to a computer program product having control commands which implement the proposed method and operate the proposed device and assembly.

Description

[0001] Fully automated establishment of at least one communication channel to at least one mobile device

[0002] The invention relates to a fully automated system and method for configuring mobile terminals, which utilizes advanced imaging sensors, geolocation-based data, machine learning, and, according to one aspect of the present invention, artificial intelligence to enable efficient and precise establishment of communication channels. This includes the automatic detection and selection of potential communication partners based on presets and environmental parameters. The invention falls within the field of mobile communication technology, specifically the development of automated systems for facilitating communication processes using integrated sensors and AI technologies. Furthermore, a computer program product with control commands is proposed, which implement the proposed method or operate the proposed device and arrangement.

[0003] Different methods are known, which are collectively referred to as artificial intelligence (AI). Artificial intelligence is the ability of machines and computers to perform tasks that normally require human intelligence. This includes understanding and processing natural language, recognizing and interpreting patterns, making decisions, and learning from experience. AI uses various approaches such as machine learning, neural networks, and natural language processing to develop and improve these capabilities. It is used in many fields to solve complex problems and create efficient, autonomous systems with human-like capabilities.

[0004] Conventional methods for setting up communication channels often require manual input and adjustments by the user, which can be time-consuming and potentially lead to errors. Existing technologies do not fully utilize the potential of modern sensor and AI technology to automate and optimize the process.

[0005] State-of-the-art surveillance systems are known for monitoring large events, for example, by directing cameras at specific areas, such as a building. Cameras are mounted on the ceiling so that they can view the area to be monitored. Thus, with the current technology, a specific area is monitored regardless of the number of people present there. This unlimited group of people generates larger amounts of data, assuming sufficient computing power is available. This computing power is typically unavailable, especially with mobile devices.

[0006] Furthermore, it is known from the prior art to identify individual people or objects from a multitude of objects in an image. For example, people can be stored in a database. A photo of these people is taken, and then this photo is compared with the recorded data. If there is a match, information can be output indicating that this person is located at a specific location.

[0007] Common methods often require user interaction, which is often impossible or disadvantageous in time-critical and safety-relevant applications. Furthermore, visibility conditions are often limited. This can lead to image capture issues in poor visibility or at night. Furthermore, a single perspective is often insufficient to fully assess a situation.

[0008] The aforementioned problems are exacerbated by the fact that image processing typically requires real-time processing, meaning that, from the user's subjective perspective, processing must take place immediately. Moving a camera, in particular, generates a large amount of image data, which then needs to be processed immediately.

[0009] It is therefore an object to propose a method for the fully automated establishment of at least one communication channel, which is error-robust and establishes a suitable communication channel in time-critical applications without human intervention. Furthermore, it is an object of the present invention to propose a correspondingly configured system arrangement. Furthermore, it is an object to provide a computer program product with control commands that implement the method or operate the proposed device and arrangement.

[0010] The object is achieved by a method having the features according to patent claim 1. Further advantageous embodiments are specified in the subclaims.

[0011] Accordingly, a method is proposed for the fully automated establishment of at least one communication channel to at least one mobile terminal, comprising a continuous reading of imaging sensors for detecting a plurality of potential communication partners, wherein the imaging sensors are each operated by a plurality of mobile terminals and a plurality of stationary terminals; an identification of at least one stored behavior pattern of at least one potential communication partner by means of the continuous reading of the imaging sensors; and an establishment of a communication channel to at least one specific communication partner if the respectively identified behavior pattern of this communication partner corresponds to a predefined behavior pattern.

[0012] A method is proposed for the fully automated establishment of at least one communication channel from a transmitting unit to at least one mobile device, i.e., a mobile phone or a vehicle. The mobile device is characterized by its non-stationary nature. Thus, all conceivable devices, such as drones or robots, can be addressed. The communication channel is preferably a mobile radio connection. The communication channel enables unidirectional or bidirectional communication with at least one transmitting device. Depending on the behavior of the communication partner, this device can transmit control commands to the communication partner or warn the communication partner.

[0013] Continuously reading imaging sensors to detect multiple potential communication partners can be achieved by reading cameras in real time and processing the corresponding information centrally or decentrally. For example, a vehicle can film several other road users and transmit the footage to a remote unit. The communication partners can be identified using image analysis, such as pattern matching. These can also provide information indicating that they offer a communication connection. They can also be equipped with optical features, such as a QR code, that indicate a potential willingness to communicate.

[0014] The imaging sensors are each operated by a plurality of mobile devices and a plurality of stationary devices, which can be done in such a way that several road users each operate one or more cameras. Stationary cameras can also be installed at traffic junctions. A vehicle can thus operate one or two cameras and transmit the image information to a central control unit. This unit controls the process, evaluates the information, and makes decisions about which communication channels are established and which information is then transmitted. A surveillance post can also operate multiple cameras and thus provide image information from multiple perspectives. The imaging sensors do not necessarily have to operate in the human-visible range. Reading from imaging sensors can therefore also provide a thermal image and / or an infrared image.

[0015] Identifying at least one stored behavior pattern of at least one potential communication partner is done by comparing predefined behavior patterns and observing actual behavior patterns. If an observed behavior pattern matches a stored behavior pattern within a predetermined threshold, this is detected and the process or one or more central and / or decentralized control units recognize this behavior pattern. For example, on a roadway, a target trajectory, i.e. a driving course, is compared with an actual trajectory and it is recognized that this is a dangerous driving situation. In this case, several driving courses are stored and the one to which the actual driving course is most similar is selected. This allows the driving course to be classified and a decision is made as to whether a communication channel will be established with this road user.This allows the driver to be warned in critical situations, the vehicle to be controlled remotely, or an emergency call to be made. This allows assistance to be requested from central and / or decentralized control units even before an accident occurs, as it can be recognized that the identified behavior pattern will inevitably lead to an accident.

[0016] A communication channel is established with at least one specific communication partner if the identified behavior pattern of this communication partner corresponds to a predefined behavior pattern or is similar to a certain degree. This allows multiple vehicles to be warned or remotely controlled. In a distributed production environment where robots cooperatively perform a work process, the behavior of one robot can be analyzed, and then another robot can be configured for a subsequent work step using the communication channel.

[0017] A communication channel is established with at least one specific communication partner if the identified behavior pattern of this communication partner corresponds to a predefined behavior pattern. The process can also be saved iteratively and behavior patterns can be learned. The behavior patterns are observed and the results saved. If, for example, a behavior pattern involving excessive speed leads to an undesirable behavior pattern such as the total failure of some components, this is detected and a warning is sent to future road users in advance. For this purpose, behavior patterns are classified and the history is taken into account. This allows behavior patterns that lead to undesirable behavior patterns to be saved and at least one communication channel is created.

[0018] It is therefore advantageous to classify behavioral patterns in advance and to identify from the history which behavioral patterns require a communication channel to be established. Depending on this classification, the type of communication channel and / or the information transmitted can also be selected. For example, a driver can simply be warned via a display, or an acoustic signal can be emitted via their on-board electronics or mobile phone. In urgent cases, a communication channel can be established with the vehicle's control system. This allows a driving action, such as braking, to be initiated via this communication channel.

[0019] The magnification factor can be set physically on the camera or simulated programmatically. If the hardware lacks a suitable lens, a virtual section of the screen can be selected and zoomed in, i.e., enlarged. A simple digital camera without a zoom lens, or a camera without a suitable lens, can also be operated in such a way that it only uses a specific section of the image during normal operation. This allows the screen section to be virtually enlarged. This means that adjusting the zoom factor or magnification factor can also be achieved programmatically. Adjusting the magnification factor therefore enlarges or reduces the image section, depending on the application.

[0020] The proposed method configures the mobile device in such a way that the camera or the imaging sensor is adjusted. The mobile device is, for example, a smartphone of a user who is supported in setting up a communication channel. This occurs semi-automatically, as the user does not have to select from a predefined list, such as a phone book, but rather the user holds their device towards a crowd of people and thus also points the camera. Potential communication partners are then shown to the user and they can then select these communication partners individually. For example, the user points their camera at a group of 20 people. It is possible that all 20 users are registered for the underlying service. If only 15 users are registered for the proposed service, the magnification factor orthe focal length or a zoom in such a way that the preset number of potential communication partners is displayed alone, i.e. exclusively. If the user has entered that they want to see five potential communication partners, the zoom is set in such a way that only five people are displayed on the smartphone screen. These five people may or may not be registered with the underlying service. Potentially, five people could therefore have stored registration information, or three people, for example. For the registered people within the group of five people, the communication partners with whom they can make contact are then displayed. The potential communication partners then become actual communication partners when the user selects an actual communication partner.

[0021] For example, the user is shown three potential communication partners within the zoomed-in image, and their faces are represented by a rectangle. If there are five people in the image, but only three are registered, the user is shown a total of three rectangles representing the faces of each potential communication partner. The user then taps a rectangle, and a communication channel is established.

[0022] Focal length and zoom are key concepts in photography and optics that are closely related. Focal length is the distance between the optical center of a lens and the focal point, the point at which parallel, incident light rays are focused. This distance, measured in millimeters, determines the angle of view and magnification of a lens. A short focal length, such as that found in wide-angle lenses, captures a wide angle of view and is particularly suitable for landscape or interior photography. A long focal length, typical of telephoto lenses, allows distant subjects to be brought closer, ideal for sports or wildlife photography.

[0023] Zoom, on the other hand, refers to the ability of a lens to change its focal length and thereby enlarge or reduce the image. A zoom lens can vary its focal length, for example, from 18 mm to 55 mm, allowing you to respond flexibly to different scenarios without having to change lenses. There is both optical zoom, which changes the focal length by physically moving the lenses, thereby preserving image quality, and digital zoom, which subsequently enlarges the image using software, which often leads to a loss of quality. Thus, focal length and zoom together determine how a subject is portrayed in the photo and offer a wide range of possibilities for image composition.

[0024] Generally, a potential communication partner refers to an electrical device with a communication interface. However, in optional cases, the owner of a mobile phone or a vehicle driver can also be considered a potential communication partner.

[0025] To ensure that people are recorded, at least one imaging sensor is continuously read to detect a plurality of potential communication partners. The camera of the mobile device is activated and continuously captures an image. It is also possible to use multiple cameras, whose images are combined. Using image recognition, it can then be determined how many people or objects are in each image. The user adjusts the camera and thus captures different numbers of communication partners. These are still potential communication partners in this step. The camera image is therefore a continuous sequence of individual images that is analyzed.

[0026] If the number of potential communication partners is displayed and the user moves their mobile device, the system returns to the continuous reading step, where the image section, zoom factor, magnification factor, or focal length is adjusted again. For example, if only three potential communication partners are displayed instead of the desired five, the system zooms out until five potential communication partners are displayed.

[0027] According to one aspect of the present invention, the behavioral patterns are identified depending on sensor perspectives. This has the advantage that at least two sensors are read, creating a spatial image and thus improving the accuracy of the method.

[0028] According to a further aspect of the present invention, the behavior patterns are identified depending on the sensor perspectives of at least one mobile terminal and at least one stationary terminal. This has the advantage that not only are different perspectives on the same view possible, but image information can also generally be combined. Vehicles can compare their image data with data from a stationary, higher-positioned camera, and a larger-scale reconnaissance can be carried out using different viewing angles and camera positions. According to a further aspect of the present invention, a focal length and / or a sensor resolution of at least one imaging sensor is set depending on a sensor resolution and / or an identified number of communication partners. This has the advantage that if the camera resolution is too low, a higher resolution can be selected and / or zooming can take place.If adjusting the sensor resolution is not possible, a different sensor can be selected. This can be operated by the same device or a different device. Furthermore, this ensures that the number of communication partners is recorded with sufficient accuracy. For a larger number of communication partners, it is necessary to select a high-resolution camera or sensor or adjust the focal length accordingly. This ensures that the number of communication partners is recorded reliably.

[0029] According to a further aspect of the present invention, the resolution of a first sensor is read, and if a stored target value deviates, a second sensor is used alternatively or additionally. This has the advantage that the sensors from one or more end devices work together and jointly provide the required image information. For example, images can be overlaid and / or rescaled.

[0030] According to a further aspect of the present invention, the behavior patterns are analyzed as a function of several imaging sensors, at least one location sensor, at least one air pressure sensor and / or an environmental sensor. This has the advantage that behavior patterns vary depending on the location and this can be taken into account accordingly. For example, a behavior pattern can vary at a certain temperature or altitude and the given circumstances can be taken into account. If the road is slippery, for example, driving behavior must be assessed differently than on a clear road. Furthermore, drones can behave differently in the rain than in rainless weather. Furthermore, there may be an increased need for communication in the dark and behavior must be assessed more critically here than in a clear view.

[0031] According to a further aspect of the present invention, a behavior pattern comprises a stored trajectory, a speed, a movement of at least one component, an action of at least one component, a change in speed, a change in altitude, a change in position, an electrical signal, a physical change of at least one component, and / or behavioral information. This has the advantage that all possible behaviors can be mapped, allowing for a precise analysis of how a potential communication partner behaves. All environmental variables can be taken into account.

[0032] According to a further aspect of the present invention, a communication channel is selected depending on an identified behavior pattern. This has the advantage that characteristics of the communication channel can also be selected depending on the recognized situation or behavior pattern. For example, some behavior patterns can motivate a rapid establishment of communication, while others require a particularly secure communication channel. This means that in the case of time-critical behavior patterns, a connection establishment can be dispensed with. In this case, negotiating a protocol and transmission parameters is not necessary; instead, a signal is simply sent over a communication channel. Thus, in this example, sending information over a possible communication channel is equivalent to establishing a communication channel. The establishment of the communication channel therefore occurs implicitly through the message transmission.If the behavior pattern is not time-critical, a connection can be established, for example, using a handshake and negotiating connection parameters. Furthermore, an encrypted communication channel can be selected if the behavior pattern is executed in a safety-critical environment. For example, industrial robots can be controlled via a secure or encrypted communication channel. Warning messages and spontaneous real-time controls are handled via a fast communication channel.

[0033] According to a further aspect of the present invention, at least one communication channel is stored in advance, which can be established with the at least one potential communication partner by means of a transmitting unit. This has the advantage that parameters can be stored in advance that enable communication to be initiated and thus the establishment of the communication channel. This can be done by prior registration. The communication channel can, for example, be via the telecommunications network, for which purpose corresponding connection parameters are stored. The parameters describe the individual channels and how the connection can be established. Thus, for example, network addresses or identifiers are stored along with parameters such as how a communication channel is to be established using Bluetooth, WLAN, etc. According to a further aspect of the present invention, several behavior patterns are identified as a whole.This has the advantage of being able to determine whether the behavior patterns require the establishment of a communication channel, not just individually but collectively. If a behavior pattern indicates that a vehicle is moving along a road, this alone is often not critical. However, if oncoming traffic develops, a communication channel may need to be established. Thus, a collective decision is also made based on the behavior patterns as to which of the potential communication partners actually needs to be established.

[0034] According to a further aspect of the present invention, the communication partners are mobile devices. This has the advantage that a communication channel can be established from or to non-stationary devices such as mobile phones, drones, vehicles, robots, etc.

[0035] According to a further aspect of the present invention, each mobile terminal and each stationary terminal each operate at least one sensor. This has the advantage that the sensors are distributed across the devices, thus enabling interaction. Each device involved in executing the method thus has one or more sensors.

[0036] According to a further aspect of the present invention, the magnification factor or zoom factor is set such that the number of potential communication partners read out exactly corresponds to the preset number of potential communication partners. This has the advantage that the camera's zoom is adjusted so that the captured image is reduced or enlarged until the specified number of communication partners is present in the image. Thus, the camera is adjusted automatically.

[0037] According to a further aspect of the present invention, registration information comprises at least one image, at least one pattern, license plate information, a facial feature, biometric data, and / or at least one visual user recognition. This has the advantage that the existing communication partners can be compared with a stored image. If there is a sufficient match, it is then assumed that the person in the stored image is actually located in the captured real-time image. If a communication partner is not a human, a pattern can also be stored, which can be detected particularly easily using image recognition. Parts or an entire license plate can also be stored visually, so that a car can be selected as the communication partner.For example, if you want to send a warning, a driver can enter his license plate information as textual registration information and then other drivers can select exactly this car and the driver of this car will receive a warning on his display.

[0038] According to a further aspect of the present invention, the plurality of communication channels comprises an audio channel, a video channel, and / or a textual communication channel. This has the advantage that the user can select from several formats and thus set the appropriate communication channel. A communication channel can be a textual conversation, i.e., a chat, or an audiovisual message exchange.

[0039] According to a further aspect of the present invention, the communication partners are detected depending on stored registration information, stored image information, a read-out position sensor, an altimeter, and / or an air pressure sensor. This has the advantage that only those communication partners can be reached who are also registered using the registration information. Image information can then be compared with the actual camera image using facial recognition or pattern matching, thus allowing a user to be identified. Furthermore, it is also possible to specify the position of the communication partner. Spatial restrictions should be implemented, for example, defining a radius.The user's geographical position can also be determined using an altimeter and an air pressure sensor, with the air pressure sensor in turn providing information about the altitude. This makes it possible, for example, to restrict the geographical regions in which communication partners are located. For example, only communication partners within a radius of 15 meters or more may be relevant.

[0040] According to a further aspect of the present invention, the preset number of potential communication partners is specified relatively depending on a resolution and / or a percentage of the screen occupancy of the display unit. This has the advantage that the number of communication partners to be displayed can be specified for each resolution of the mobile device. This allows enough space to remain to display the communication partner in such a way that the user can actually identify and select them. A list can be created that displays different possible resolutions of the screen and / or camera, and then each resolution is assigned a value that describes the number of potential communication partners. For example, with a standard screen resolution, five communication partners can be displayed. If the resolution is higher, a number of seven conditional partners is also possible.This way, the camera is set up to take the screen into account, and a suitable number of communication partners is always displayed. The percentage of screen usage can also be defined such that, for example, 15% of the screen is reserved for one communication partner. Since 15% is no longer possible after 90%, only 90% of the screen usage is used, and six communication partners are displayed. 20% of the screen usage can also be defined, and thus only five communication partners are displayed on the entire screen. The camera is set so that the focal length or zoom captures exactly this number of communication partners.

[0041] According to a further aspect of the present invention, the user's mobile device is in the form of a telephone, electronic glasses with a user interface, and / or a head-up display. This has the advantage that different hardware can be used. For example, a user can wear electronic glasses that can overlay information onto the lens. This provides the user with different information regarding the communication partners surrounding them. Further information can be used to show which communication partners are registered. Furthermore, it is often possible to overlay a camera image onto a display within the glasses, which then zooms in or out on the communication partners by the desired number.

[0042] According to a further aspect of the present invention, the communication channel is established using Bluetooth, WLAN, an air interface of a mobile network, a point-to-point connection, and / or a telephone connection. This has the advantage that different communication technologies can be used, and if a first communication technology fails, a second communication technology is used. These technologies can also be prioritized, and if a high-priority technology fails, a lower-priority technology is automatically switched on.

[0043] According to one aspect of the present invention, the device uses a network of imaging sensors, GPS, a barometric pressure sensor, and other environmental sensors to fully capture the user's surroundings. Machine learning and artificial intelligence algorithms not only identify potential communication partners, but also assess their availability and compatibility in real time. The device automatically adjusts the camera's zoom and focus to display the optimal number of communication partners according to the user's preferences.

[0044] A fully automated method for establishing communication channels is proposed, which uses a mobile terminal that uses at least one imaging sensor to capture the surrounding image, uses an algorithm based on machine learning to identify and select potential communication partners, and implements an adaptive zoom control that is automatically adjusted based on the number and position of the identified communication partners.

[0045] According to one aspect of the present invention, the system for carrying out the method comprises a database that stores user profiles and their preferences, a communication unit that supports various communication channels such as audio, video and text, and a user interface that responds to natural language processing and touch-sensitive input.

[0046] Various scenarios are described in which the system functions efficiently under different environmental conditions and user preferences. These include applications in public areas, at events, and in private settings. According to one aspect of the present invention, integration with augmented reality technologies is used to visually represent communication partners.

[0047] According to one aspect of the present invention, blockchain technology is used to securely store and verify user data and communication protocols. The proposed system can be used in a variety of environments and situations, including business meetings, social events, and emergency situations where fast and efficient communication is required. By leveraging advanced technologies such as AI and machine learning, the system can proactively anticipate user needs and adapt communication accordingly. The integration of augmented reality enables intuitive and visually enriched interaction that goes beyond traditional means of communication.

[0048] According to one aspect of the present invention, the following advantages exist: • Efficiency: Automation of the process reduces the time required to make connections.

[0049] • Usability: Intuitive user interfaces and natural interaction methods increase accessibility.

[0050] • Adaptability: The system adapts dynamically to the needs and preferences of the user as well as to the environmental conditions.

[0051] • Security: Using blockchain for data integrity and privacy management significantly improves the security of user data.

[0052] This invention represents a significant improvement over existing systems by providing a seamless, secure, and highly personalized communication experience. By combining cutting-edge technologies with deep integration of user data and environmental parameters, the system enables a new level of interaction and connectivity necessary for modern user needs. According to one aspect of the present invention, a method is provided for dynamically adapting the communication flow based on real-time analysis of the user's environment and activity, including but not limited to the use of environmental sensors and user feedback, with a user interface that adaptively responds to the user's preferences and historical usage to provide a tailored communication experience, and utilizes machine learning to optimize user interactions.

[0053] The following application scenarios exist according to one aspect of the present invention:

[0054] • Mobile communication: Improvement of smartphone and tablet-based communication systems.

[0055] • Automotive industry: Integration into vehicles to improve communication and safety through automated systems.

[0056] • Public safety: Use in emergency situations where fast and accurate communication can save lives.

[0057] According to one aspect of the present invention, the system uses a combination of multiple sensor types (imaging sensors, GPS, barometric pressure gauge) and AI-controlled software for analyzing and selecting communication partners in real time, which is unprecedented in this specific combination and application. It uses machine learning to learn preferences from the collected data and dynamically adapt the user's communication settings. The system solves the technical problem of how to efficiently establish automated communication channels without human intervention based on the current environment and user preferences. It improves the accuracy and speed with which communication partners are identified and selected through the use of advanced sensor technology and real-time data processing.

[0058] According to one aspect of the present invention, the system uses advanced machine learning algorithms in combination with sensor technology to enable a completely new type of communication device that goes beyond the current state of the art. The method of dynamically adjusting communication settings based on continuous environmental and preference analyses is not obvious to anyone working in the relevant technical field.

[0059] The proposed invention may have the following features individually or in combination:

[0060] A fully automated system for establishing and managing communication channels, comprising: one or more communication modules integrated into devices selected from the group consisting of drones, humanoid robots, industrial robots, MR / AR glasses, autonomous vehicles, and stationary camera systems in smart cities; sensor modules including imaging sensors, acoustic sensors, ambient light sensors, and GPS modules that continuously collect environmental data; a central processing unit equipped with a machine learning module trained to automatically identify and select potential communication partners based on the collected data and preset user preferences;A communication control unit configured to establish communication channels using a variety of communication technologies, including but not limited to Wi-Fi, LTE, 5G, and future communication technologies; a user interface that automatically makes customizations based on detected user interactions and preferences, implemented in said devices;

[0061] The system described, wherein the sensor modules are further equipped with a barometer and an air pressure sensor to precisely determine the height and position of the devices, especially for use in drones and autonomous vehicles.

[0062] The described system, wherein the machine learning module is additionally configured to use deep learning and reinforcement learning algorithms to improve real-time decision making under complex environmental conditions.

[0063] The described system, which includes an adaptive zoom control in the imaging sensors, to dynamically adjust the field of view based on the number and distance of the identified communication partners.

[0064] The described system uses augmented reality technologies to visually display information about identified communication partners in real time on MR / AR glasses.

[0065] The described system, further configured for integration and synchronization with urban surveillance systems in smart cities to support public safety and individual communication needs.

[0066] The described system, wherein the communication control unit is further capable of automatically selecting the most secure and efficient communication channel based on the current network load and predefined security protocols.

[0067] The proposed invention may have the following features individually or in combination:

[0068] 1. Sensor Data Acquisition Sensors: Imaging sensors (cameras), acoustic sensors (microphones), ambient light sensors, GPS modules, barometers, and air pressure sensors are distributed throughout the device and continuously collect data about the environment and the device's position. These sensors provide data that not only maps the physical environment but also specific parameters such as altitude and position, which are essential for real-time navigation and contextualization. Data Integration: All acquired data is sent to the central processing unit in real time. This data includes visual information, audio, geographic coordinates, elevation data, and ambient light conditions.

[0069] 2. Data processing and communication partner recognition AI-controlled analysis: A machine learning module analyzes the incoming data streams to identify potential communication partners. This module uses advanced deep learning and reinforcement learning algorithms to recognize and learn patterns from the data. The AI ​​is trained to identify and classify relevant objects and people within the data. Adaptive algorithms: These algorithms are capable of adapting to changing environmental conditions and user preferences, enabling continuous optimization of the identification and selection of communication partners. 3. Communication channel setup Communication control unit: After potential communication partners have been identified, the communication control unit automatically selects the appropriate communication channels.The unit makes decisions based on factors such as network load, available bandwidth, security requirements, and the geographical distance between the communication partners. Diverse communication modes: The system supports a variety of communication modes, including video, audio, and text. The choice of mode depends on user preferences and the technical capabilities of the device.

[0070] 4. User Interaction and Adaptation MR / AR Integration: For users wearing MR / AR glasses, the system provides a visual representation of identified communication partners directly in the user's field of vision. Information about the partners can be overlaid, and interactive elements can be offered for easy control. User Interface: The user interface is highly adaptive and responds to voice commands and touch. It learns from user interactions to continuously improve and personalize the user experience.

[0071] 5. Synchronization and Security Smart City Integration: In urban environments, the system can be synchronized with urban surveillance systems to support public safety and efficient communication. Data Security: By using advanced encryption techniques and blockchain technology, the system ensures the security and integrity of transmitted data.

[0072] In the fully automated process for establishing a communication channel, which leverages cutting-edge technologies, various communication and information processing technologies can be integrated to maximize efficiency, security, and versatility. Here's how cellular, Bluetooth, Wi-Fi, mesh systems, edge computing, blockchain technology, and quantum computing can be used in such a system.

[0073] With regard to mobile communications, the following advantages, areas of application and functions exist according to one aspect of the present invention:

[0074] • Broad coverage and reliability: Mobile networks offer comprehensive geographical coverage, making them ideal for communication between devices located in different, even remote, areas. Data throughput and latency: Modern mobile technologies like 5G enable high data throughput and low latency, which is critical for real-time communication requirements such as those found in autonomous vehicles and drones. Fallback option: Mobile networks can serve as a backup communication channel if other connections like Wi-Fi or Bluetooth fail or are unavailable.

[0075] • Bluetooth applications and functions: Short-range communication: Bluetooth is ideal for short-range communication, e.g., within a vehicle or between portable devices and smartphones. Energy efficiency: Bluetooth LE (Low Energy) is particularly energy-efficient, making it suitable for use in mobile and portable devices such as MR / AR glasses and wearables. Easy pairing: Enables quick and secure pairing between devices for transmitting control commands or establishing communication links.

[0076] • WLAN Applications and Features: High-Speed ​​Data Transfer: WLAN offers high data transfer rates, which are useful for data-intensive applications such as video transmission or the exchange of large data sets in industrial applications. Flexibility: WLAN networks can be easily scaled and adapted to different requirements, making them ideal for use in smart cities and large industrial environments.

[0077] • Mesh systems: Application areas and features: Robustness and self-healing: Mesh networks are capable of self-organizing and optimizing. If a node fails, data can be automatically rerouted, increasing system reliability. Expandable network coverage: Mesh systems enable flexible expansion of network coverage over large areas, which is particularly advantageous in smart cities or when monitoring extensive industrial sites.

[0078] • Edge Computing Applications and Features: Data processing at the edge of the network: Edge computing enables data processing directly at the point of origin, minimizing latency and improving data utilization efficiency. Support for real-time applications: Rapid data processing at the edge enables real-time decisions, which is essential for autonomous systems and robotic processes.

[0079] • Blockchain technology applications and functions: Security and transparency: By using blockchain, the system can ensure that all communications and data transactions are verifiable and immutable. Decentralized data storage: This reduces dependence on central servers and increases resilience to failures and attacks.

[0080] • Quantum Computing: Applications and Functions: Quantum Computing (continued) Applications and Functions: Advanced Encryption Methods: Quantum computing could be used to develop highly secure, quantum-based encryption methods, significantly improving security in communication networks. These advanced algorithms are immune to traditional and future cyberattacks because they are based on the principles of quantum mechanics, which cannot be circumvented by traditional means. Fast Computing: Quantum computers offer the ability to perform complex calculations needed for optimizing communication networks and routing in mesh systems significantly faster than conventional computers.This can dramatically improve the efficiency of real-time data analysis and decision-making, especially in high-traffic environments such as smart cities or autonomous vehicle fleets. System Overview The described fully automated system for establishing a communication channel integrates a variety of advanced technologies to create a robust, secure, and efficient communications infrastructure. Each technology contributes specific advantages that, when combined, offer a comprehensive solution to the challenges of modern communications systems. Here is a summary of the technical operation and process: Data acquisition: A wide range of sensors continuously collects data about the environment. This data is transmitted using technologies such as cellular, Wi-Fi, and Bluetooth, with mesh networks also being used in special cases to extend network coverage.Data processing: Edge computing is used to perform data processing tasks in a decentralized manner and minimize latency, which is critical for applications such as autonomous driving or real-time reactions in robotics. Communication security: Blockchain technology provides a secure platform for data transmission and storage by ensuring transparency and immutability, while quantum computing helps secure communication against future threats. User interaction: Adaptive user interfaces, supported by MR / AR technologies, enable seamless and intuitive interaction between users and the system, taking personalized settings and preferences into account.Conclusion By integrating these technologies, the system not only addresses traditional communications challenges but also offers innovative solutions for the future development of communications technologies. It ensures that users can communicate efficiently, securely, and in real time, regardless of their geographic location or the specific requirements of their devices. This system sets new standards for performance and security in communications technology and offers numerous application possibilities across a wide range of industries and sectors.

[0081] Compared to the semi-automated version, a fully automated version of a communication channel creation process brings significant technical innovations and effects that can significantly increase the level of innovation, efficiency, and user experience. Here are some key points highlighting the differences between the two approaches: Invention and Technical Effect Complete Automation of Processes: Invention: The fully automated system completely eliminates the need for manual intervention by leveraging advanced algorithms and machine learning to independently perform the selection and setup of communication channels. This significantly reduces the time and effort required for users to set up communication channels.

[0082] The system can respond dynamically and in real time to changes in the environment and user preferences, improving response speed and efficiency. Intelligent decision-making based on environmental data and user preferences. By integrating environmental sensors and preference profiles, the fully automated system can make complex decisions about which communication channels and partners are most suitable. This enables a personalized and optimized communication experience, in which the system selects and adapts the best available networks and methods for communication in real time, based on the current situation and the user's specific needs. The fully automated system integrates a variety of technologies (e.g.This integration enables a more robust and secure communication platform capable of autonomously selecting and switching to the optimal communication method, which is particularly crucial in critical applications such as autonomous driving or emergency situations. According to one aspect of the present invention, AI and machine learning are used for behavior prediction and adaptation. In contrast to semi-automated systems, which often use static or limitedly adaptive algorithms, the fully automated method utilizes advanced AI techniques to continuously learn from interactions and adapt its behavior accordingly.This leads to a steady improvement in system performance and accuracy, personalizing and optimizing the user experience over time. These points illustrate that the fully automated version of the process for establishing a communication channel offers significant technological advances and innovations over the semi-automated variant. It not only improves user-friendliness and efficiency but also expands the system's possible applications in various industrial and everyday applications.

[0083] The fully automated system for establishing a communication channel, which integrates advanced technologies such as AI, machine learning, and various communication and sensor technologies, can be applied in a wide variety of scenarios and industries. Here are some additional use cases beyond the areas already described, such as drone technology, humanoid robotics, industrial robotics, MR / AR glasses, autonomous driving, and smart cities:

[0084] 1. Healthcare Remote Monitoring and Diagnosis: The system could be used in medical devices to monitor patient data in real time and automatically establish communication channels with specialists or emergency services when abnormalities or emergencies are detected. Surgical Robotics: In robot-assisted surgery, the system could be used to ensure seamless communication between surgical devices and monitoring systems, increasing the safety and effectiveness of operations.

[0085] 2. Agriculture Smart Farming: Automated systems in agriculture could use the system to collect environmental data and, based on this data, manage communication between irrigation systems, drones, and soil analyzers to optimize crop yields and manage resources efficiently. 3. Emergency Management and Disaster Relief Coordination of Rescue Operations: In disaster situations, the system could automate communication between various emergency services to ensure a rapid and effective response. The system could collect relevant data in real time and optimize communication between ground personnel, drones, rescue vehicles, and control centers.

[0086] 4. Environmental Monitoring and Management Monitoring of environmental conditions: The system could be deployed in sensor networks that monitor environmental data such as air quality, water quality, and wildlife movements. Automated communication channels could help efficiently aggregate data and trigger alerts when needed.

[0087] 5. Education and TrainingVirtual Learning Environments: In educational institutions, the system could be used to create an interactive and responsive learning environment by automatically establishing communication channels between teachers and students or within learning groups based on student progress and needs.

[0088] 6. Retail and Customer Service Automated Customer Support: The system could be used in customer service to automatically detect customer inquiries and redirect them to the most appropriate support channels (such as chatbots, video calls, or direct agent communication) based on the nature of the inquiry and agent availability.

[0089] 7. Public Safety and Surveillance Intelligent Surveillance System: In urban environments, the system could be used to support public safety initiatives by leveraging surveillance cameras and other sensors to detect suspicious activity and automatically notify the relevant authorities. The integration of cameras in mobile devices and stationary camera systems offers numerous possibilities for a fully automated method of establishing a communication channel.

[0090] According to one aspect of the present invention, there are further applications that utilize the advantages of this technology:

[0091] 1. Traffic management and monitoring, automated traffic analysis: Mobile devices and stationary cameras can be used to monitor and analyze traffic flow. By automatically collecting traffic data such as vehicle density, speed, and traffic violations, communication channels could be established between traffic control centers and vehicles to transmit real-time traffic information and effectively manage congestion or accidents. Smart parking: Cameras in smartphones and fixed systems can be used to identify available parking spaces. The system could automatically open communication channels with drivers to guide them to the nearest available parking spaces, saving time and reducing traffic.

[0092] 2. Security and Surveillance Advanced surveillance systems: In sensitive areas such as airports, train stations, or large public events, stationary camera systems could be deployed for facial recognition and behavioral analysis. If criminal activity is suspected, the system could automatically open a communication channel with security personnel and transmit relevant images or videos. Personal security applications: Mobile devices could be configured to automatically contact emergency services and transmit live video streams upon detection of potential threats (e.g., attack or theft).

[0093] 3. Health Monitoring and Management Remote patient monitoring: Cameras in mobile devices can be used to monitor patients with chronic illnesses or the elderly. The system could automatically contact healthcare providers and send video feeds if it detects signs of deterioration. Assistance for people with disabilities: By combining camera technology and AI, mobile devices could automatically request assistance when they detect falls or emergencies in people with physical disabilities.

[0094] 4. Retail and Customer Interaction Intelligent customer service kiosks: In retail environments, stationary camera systems could detect and analyze customers who need assistance. The system could then automatically inform customer service representatives or control interactive displays to assist the customer directly. Customer behavior analysis: Cameras in mobile devices or stationary systems could be used to analyze shopping behavior and automatically send personalized offers or recommendations via communication channels.

[0095] 5. Education and Learning Interactive learning environments: Stationary cameras in classrooms could detect and analyze teacher and student interactions. When needed, the system could automatically provide additional teaching resources or support from other teachers. Virtual classrooms: Mobile devices could be used for distance learning to create an interactive and engaging learning experience. The system could automatically communicate between students and teachers to clarify questions or provide additional information. These applications demonstrate how the integration of cameras in mobile and stationary systems, coupled with a fully automated communication channel, offers numerous opportunities for innovation in various industries, from public safety and healthcare to retail and education.

[0096] 1. Intelligent traffic and safety management: Coordination between mobile and stationary units: Mobile devices in vehicles could communicate with stationary camera systems at traffic intersections to transmit traffic information in real time. This could optimize traffic flows and reduce congestion, for example, by dynamically adjusting traffic lights. Accident detection and response: In the event of a traffic accident, stationary cameras could detect the incident and immediately send a signal to the mobile devices of nearby drivers and emergency services, enabling rapid assistance and traffic diversion.

[0097] 2. Event Management and Security Monitoring Crowd management at large events: Mobile devices used by security personnel and stationary camera systems work together to monitor crowds. The system could automatically establish communication channels between mobile units and headquarters to alert them to unusual movement patterns or potential security threats. Emergency Communication: In an emergency situation, the system could automatically establish a connection between on-site security personnel and command centers by sharing live video feeds from mobile and stationary cameras.

[0098] 3. Integrated urban monitoring and response services Smart City Security: In urban areas, stationary cameras could detect crimes or accidents and immediately send relevant information to mobile devices used by police or emergency services. Communication would be fully automated, including the sharing of live video and location data to enable a rapid response. Environmental Monitoring: Combined data from stationary environmental sensors and mobile units could be used to monitor environmental conditions such as air quality or flood risk. When critical values ​​are detected, alerts could be automatically sent to residents and relevant authorities.

[0099] 4. Community health monitoring – monitoring health conditions: Stationary cameras in nursing homes or hospitals could be used in conjunction with mobile devices used by medical staff to monitor patients. If abnormalities or emergencies are detected, the system could immediately alert medical staff and provide them with live images or health data.

[0100] 5. Personalized Advertising and Customer Engagement Interactive advertising displays and customer feedback: In retail environments, stationary camera systems could perform customer identification and behavioral analysis and send personalized offers or information to customers via mobile devices. The system could also collect customer feedback via mobile devices and immediately forward it to management.

[0101] The application concepts describe areas of application or possible features of the present invention.

[0102] The following describes the drone technology application concept. Drones used for surveillance and inspection tasks automatically transmit data and videos to control centers in real time. Drones providing security at large events communicate seamlessly with each other to report suspicious activity and enable coordinated responses. Technical process: Drones are equipped with GPS, cameras, and other sensors. They use edge computing to preprocess the data and send relevant information via 5G to a central control center. AI algorithms analyze the data in real time to make decisions and automatically establish communication channels between drones and the control center or other drones.

[0103] The following describes the humanoid robotics application concept. Humanoid robots in public facilities or as assistance systems interact with each other and with users to provide assistance and coordinate tasks. Technical process: Robots use internal processors and AI to process voice input and communicate via Wi-Fi, Bluetooth, or 5G. They identify user requests and send required data to central servers for further instructions or support. Robots can also network with each other to manage tasks and information in a synchronized manner.

[0104] The following describes the application concept for MR / AR glasses. MR / AR glasses provide tourists or visitors to historical sites or museums with interactive and enriched information. Technical process: The glasses record the environment and user interactions via built-in cameras and microphones. Information is processed via cloud servers, which send additional content back to the glasses in real time. Users receive contextual information and interactive elements directly in their field of vision.

[0105] Furthermore, MR / AR glasses can interact with a drone and / or a robot. They are used in military operations, where soldiers are equipped with MR / AR glasses and receive real-time tactical data from drones and ground vehicles. Technical process: MR / AR glasses communicate directly with drones and robotic vehicles to obtain situational information and sensor information. The information is transmitted securely using advanced encryption techniques. Soldiers can directly influence the operations of the drones and robots using voice commands or gesture control.

[0106] The following describes the stationary camera application concept for consumer and tourism applications. Stationary cameras in cities or tourist attractions provide visitors with contextual information and recommendations via their smartphones or in car media centers. Technical process: Cameras detect visitor approaches and capture interest signals. Data is processed to send personalized content and recommendations to users' devices via local networks. Users receive interactive maps, information, and offers directly on their mobile devices or vehicle interior screens.

[0107] The autonomous driving application concept is described below. Stationary camera systems along roads communicate with autonomous vehicles to improve traffic flow and safety. Technical process: Cameras record traffic situations and analyze them using AI. Critical information is transmitted to vehicles to inform them about traffic conditions, accidents, or changes in traffic flow. Autonomous vehicles use this data to adjust their routes, regulate speeds, or warn of potential hazards, which is particularly advantageous in complex traffic situations or in adverse weather conditions.

[0108] The following describes the AR gaming application concept. Augmented reality (AR) games integrate the player's physical environment and offer interactive, location-based gaming experiences. Technical process: Mobile devices or AR glasses use integrated cameras to capture and analyze the player's immediate surroundings. The game processes this information to dynamically adapt game content to the real-world environment. For example, a park could become a virtual battle arena or a puzzle room. Players interact directly with the augmented reality displayed on their devices, creating a seamless fusion of the real and virtual worlds. Communication between the player's device and the game server takes place over fast, secure internet connections to minimize latency and ensure a smooth gaming experience.

[0109] In all of these scenarios, the fully automated process for establishing a communication channel enables efficient, secure, and adaptive communication between different technologies and platforms. It not only optimizes the user experience by providing real-time data and responses, but also increases safety and efficiency in complex environments such as urban traffic, military operations, or the integration of AR into everyday and playful activities. Through the use of AI and machine learning, the system can make autonomous decisions based on a comprehensive analysis of available data, allowing it to dynamically respond to changes and act proactively.

[0110] The integration of a fully automated process for establishing a communication channel can be achieved in two ways: by processing the data directly on the devices (edge ​​computing) or by processing the data via central servers (cloud computing). Both approaches have their specific advantages and disadvantages, which must be weighed depending on the application and specific requirements.

[0111] On-device data processing (edge ​​computing) Advantages: Lower latency: Because data is processed directly on the device, delays caused by transmission to and from the cloud are eliminated. This is especially important for applications that require real-time responses, such as autonomous driving or industrial automation. Data protection: Sensitive data does not have to leave the device, reducing the risk of data breaches and is particularly beneficial in regions with strict data protection laws. Operation in the event of a network failure: Devices can continue operating autonomously even when there is no connection to a central server. This increases system reliability under various conditions.

[0112] Advanced computing capabilities: The cloud offers virtually unlimited computing capacity and storage, enabling more complex analytics and AI-based approaches that would not be possible on the devices themselves.

[0113] Centralized maintenance: Software updates and maintenance can be managed centrally, improving the consistency and efficiency of system updates. Scalability: The cloud infrastructure can be easily scaled to meet increasing data volumes and computing demands without requiring a physical expansion of the device base.

[0114] The choice between edge and cloud computing depends heavily on the specific requirements of the fully automated process for establishing a communication channel. For real-time applications and applications where data protection is a top priority, edge computing might be the better choice. For applications requiring high computing power and complex data analytics, cloud computing offers significant advantages. In many cases, a hybrid solution might also be useful, with some processing tasks performed locally on the devices and others in the cloud, combining the advantages of both approaches. It is also conceivable to implement the process in a hybrid manner, meaning that some processing tasks are performed semi-automatically and some are fully automated in the applications.

[0115] The object is also achieved by a system arrangement for the fully automated establishment of at least one communication channel to at least one mobile terminal, comprising readout units configured to continuously read out imaging sensors for detecting a plurality of potential communication partners, wherein the imaging sensors are each operated by a plurality of mobile terminals and a plurality of stationary terminals; at least one analysis unit configured to identify at least one stored behavior pattern of at least one potential communication partner by means of the continuous reading of the imaging sensors; and a communication unit configured to establish a communication channel to at least one specific communication partner if the respectively identified behavior pattern of this communication partner corresponds to a predefined behavior pattern.

[0116] The problem is also solved by a computer program product with control commands which implement the proposed method or operate the proposed device.

[0117] According to the invention, it is particularly advantageous that the method can be used to operate the proposed devices and units. Furthermore, the proposed devices and units are suitable for implementing the method according to the invention. Thus, each device implements structural features suitable for executing the corresponding method. However, the structural features can also be configured as method steps. The proposed method also provides steps for implementing the function of the structural features. Furthermore, physical components can also be provided virtually or in a virtualized form.

[0118] Further advantages, features and details of the invention will become apparent from the following description, in which aspects of the invention are described in detail with reference to the drawings. The features mentioned in the claims and in the description can each be essential to the invention individually or in any combination. Likewise, the features mentioned above and those further explained here can each be used individually or in groups in any combination. Parts or components with similar functions or that are identical are sometimes provided with the same reference numerals. The terms “left”, “right”, “top” and “bottom” used in the description of the exemplary embodiments refer to the drawings in an orientation with normally legible figure designations or normally legible reference numerals.The embodiments shown and described are not intended to be exhaustive, but rather are exemplary in nature to illustrate the invention. The detailed description is intended to inform those skilled in the art; therefore, known circuits, structures, and methods are not shown or explained in detail in order not to obscure the understanding of the present description. The figures show:

[0119] Figure 1: a schematic flow diagram of the proposed method for the fully automated establishment of at least one communication channel according to one aspect of the present invention;

[0120] Figure 2: another schematic flow diagram of the proposed

[0121] Method for the fully automated establishment of at least one communication channel according to a further aspect of the present invention;

[0122] Figure 3: another schematic flow diagram of the proposed

[0123] Method for the fully automated production of at least one communication channel according to a further aspect of the present invention; and Figure 4: a schematic sequence diagram of the proposed method for the fully automated production of at least one communication channel according to a further aspect of the present invention.

[0124] Some of the figures present parameters which are familiar to the person skilled in the art in their English terminology and which are used as parameters and therefore cannot be translated.

[0125] Figure 1 shows a schematic flow diagram of a method for the fully automated establishment of at least one communication channel to at least one mobile terminal, comprising a continuous readout 100 of imaging sensors for detecting 101 a plurality of potential communication partners, wherein the imaging sensors are each operated by a plurality of mobile terminals and a plurality of stationary terminals; an identification 102 of at least one stored behavior pattern of at least one potential communication partner by means of the continuous readout 100 of the imaging sensors; and an establishment 103 of a communication channel to at least one specific communication partner if the respectively identified 102 behavior pattern of this communication partner corresponds to a predefined behavior pattern.

[0126] Figure 2 shows a further schematic flow diagram of the proposed method for distributed and cooperative problem solving according to another aspect of the present invention. The individual method steps are described as follows:

[0127] Method step 200: optical detection of the current situation by one or more sensors;

[0128] Process step 201 : signal processing after all data has been reviewed using machine learning or artificial intelligence;

[0129] Process step 202: data analysis and identification of potential communication partners takes place;

[0130] Process step 203: based on the data, the availability and compatibility of the potential communication partners for establishing the communication channel is assessed; process step 204: at least one suitable communication channel is selected; and

[0131] Method step 205: at least one communication channel is established.

[0132] The method steps can also be performed individually or in groups in an iterative manner. Those skilled in the art know how artificial intelligence can be used. Therefore, this need not be explained here, since AI itself is not developed in the present invention. Those skilled in the art would rely on existing implementations or neural networks.

[0133] Figure 3 shows the components used and their interaction. The mobile devices, which communicate with a central processing unit, are located at the top. A communication control unit and, optionally, a user interface are also shown below. The user interface is optional, as the process can be fully automated.

[0134] Figure 4 shows a detailed view of the proposed method and system configuration. The user on the left is optional and can also be a machine. The communication units are the end devices. The processing unit can be centralized and / or decentralized. This means that a central server can perform tasks, while additional end devices can perform subtasks.

[0135] The fully automated version of the communication channel establishment process enables efficient and user-friendly device connection without the need for manual user input. To achieve this, the system can independently detect, authenticate, and connect with suitable communication partners. Here are the key components and techniques that can be used in this process:

[0136] 1. Detection of potential communication partners; sensors and cameras: Devices use built-in sensors and cameras to detect other devices in their environment. This can be done through optical recognition, e.g., RFID, NFC, or other near-field communication technologies. Beacons and Bluetooth Low Energy (BLE): Devices can also use BLE beacons to signal their presence and be discovered by other nearby devices. 2. Provision and use of registration information Registration database: Each device could have a unique identifier stored in a centralized or decentralized registration database. This database can also contain communication preferences, device properties, and security certificates. Automatic exchange of registration information: Once devices detect each other, they can automatically exchange their registration information.This can be done via secure communication channels to ensure data protection and security.

[0137] 3. Authentication and security verification, cryptographic methods: Cryptographic methods can be used for authentication to ensure that communication between devices is authentic and originates from trusted sources. Blockchain technology: For increased security and to prevent tampering, authentication and registration can be performed via a blockchain. This ensures that information, once stored, cannot be retroactively altered.

[0138] 4. Automatic communication channel configuration, AI-driven network selection: A AI algorithm selects the optimal channel based on available networks and communication requirements. This can include Wi-Fi, LTE, 5G, or future wireless technologies. Dynamic adaptation: The system can dynamically adapt its configurations based on network utilization, device power conditions, and other environmental factors.

[0139] 5. Automated connection and communication initiation: Once authentication is successful and the communication channels are configured, the devices automatically initiate a connection without user intervention. Feedback systems: To continuously improve the user experience, feedback systems can be implemented that monitor the quality of the communication link and make adjustments as needed. Technical implementation: The technical implementation of such a system requires a robust infrastructure for data management and security, powerful machine learning algorithms for decision-making, and a reliable implementation of IoT communication technologies. The advantage is to ensure seamless integration between different devices and platforms while maintaining high standards of data protection and security.Further advantageous features of the present invention are described below:.

[0140] 1. Detection and identification and technical process: Camera deployment: Cameras on the devices continuously monitor the field of view. These cameras can be high-resolution optical sensors capable of detecting other devices and objects even over long distances. Image processing: The images captured by the cameras are analyzed using image processing algorithms. Object recognition techniques are used here, making it possible to distinguish devices from other objects in the field of view. Technical mode of operation: Use of deep learning: Modern deep learning models, specifically trained to recognize certain device shapes or signatures, analyze the images. The models can also be trained to recognize specific features or codes attached to the devices, such as QR codes or special markings.

[0141] 2. Distance measurement and communication setup, technical process: Distance determination: Once a device is detected, the system estimates the distance to the device based on known dimensions and the camera's focus settings. Communication channel selection: Depending on the estimated distance, the system selects the most suitable communication channel. For shorter distances, Bluetooth or Wi-Fi Direct could be used, while for longer distances, more powerful RF communication technologies such as LoRa or even directional microwave communication can be used. Technical operation: Adaptive signal processing: The system dynamically adjusts the signal strength and frequency based on the distance and potential interference. This is made possible by advanced algorithms that continuously monitor environmental conditions and signal quality.

[0142] 3. Connection establishment and data transmission, technical process: Initiation of communication: After successful distance measurement and channel selection, the devices automatically initiate a connection. Handshake protocol: A special protocol is used to secure and authenticate the connection. This can be done through the exchange of one-time keys or through public key infrastructure methods. Technical operation: Encrypted data transmission: The transmitted data is secured using strong encryption to ensure data protection and security. The encryption keys are generated anew for each connection, which minimizes the risk of security breaches. 4. Connection maintenance, technical process: Monitoring of connection quality: The system continuously monitors the quality of the communication connection. If the signal quality deteriorates or other problems occur, adjustments are made automatically.Dynamic adjustments: If necessary, the system can automatically switch to another communication channel or adjust transmission parameters to improve connection stability and quality. Technical features: Self-healing network functions: The system incorporates mechanisms that enable automatic detection and correction of problems to ensure continuous and reliable communication. This includes automatically restoring connections after interruptions and routing data over alternative paths if the primary connection fails.

[0143] Summary of the technical implementation: The fully automated version of the communication channel establishment process uses a combination of modern image recognition, machine learning, adaptive communication technologies, and advanced security protocols to enable an efficient and secure connection between devices. These technologies allow the system to operate without human input, which is particularly useful in applications where speed and efficiency are critical. By allowing devices to intelligently perceive their environment and act on this information, the system can respond flexibly to changes and provide optimal communication performance.

[0144] Alternative approaches and technologies that can be used to implement a fully automated process for establishing communication channels. These aspects of communication technology and system architecture can be used in accordance with the invention and offer advantages depending on specific requirements and environmental conditions.

[0145] 1. Use of machine-to-machine (M2M) protocols. Approach: Instead of relying on complex AI-based systems, the system can use purpose-built M2M communication protocols optimized for efficiency and reliability in IoT environments. Advantages: These protocols are often less resource-intensive and suitable for integration into a wide range of devices. Implementation: Use of industry standards such as MQTT or CoAP, which are designed for low bandwidth and high latency sensitivity.

[0146] 2. Blockchain-based device authentication and communication. Approach: Use of blockchain technology not only for security purposes but also to manage communication protocols between devices. Benefits: Increased security and immutability of communication rules, as well as improved transparency in transactions between devices. Implementation: Development of a decentralized network in which each device acts as a node that validates and communicates transactions.

[0147] 3. Use of dedicated Short-Range Communication (SRC) technologies. Approach: Use of dedicated short-range communication technologies such as Zigbee or Z-Wave, which were specifically developed for automation environments. Benefits: Reduces the complexity of setting up and maintaining communication channels, especially in environments with many small, networked devices. Implementation: Establish a local network of devices that communicate with each other via SRC, with each device assigned specific roles within the network.

[0148] 4. Use of Software-Defined Networking (SDN) Approach: Use of SDN technologies to dynamically manage network resources and communication paths. Benefits: Greater flexibility and scalability of the network infrastructure, enabling dynamic adaptation of network paths and resources based on real-time data. Implementation: Integration of SDN controllers into the network infrastructure that monitor and control the distribution of data streams.

[0149] 5. Advanced Edge Computing. Approach: Advanced use of edge computing to process data directly at the point of origin to minimize latency and reduce network load. Benefits: Faster response times and less dependence on central servers, which is especially important in critical applications such as autonomous driving or industrial automation. Implementation: Establishment of powerful edge computing units capable of local data analysis and decision-making.

[0150] Further aspects of the invention are described below:

[0151] 1. Cognitive Networks. Approach: Use of cognitive network technologies that leverage machine learning and AI to dynamically analyze and optimize network behavior. Advantages: These networks can automatically adapt to changing environmental conditions and network requirements, improving communication efficiency and reliability. Implementation: Establish a self-managing network that optimizes frequencies, routes, and resources based on real-time traffic analysis. 2. Quantum Key Distribution (QKD) Approach: Use of quantum cryptography, specifically quantum key distribution, for secure communication between devices. Advantages: QKD provides virtually unbreakable encryption, significantly improving security in critical applications such as military or government communication networks.Implementation: Integration of QKD systems into the communication infrastructure to enable secure key exchange mechanisms between devices.

[0152] 3. Li-Fi (Light Fidelity). Approach: Use of Li-Fi for data transmission via light waves, especially in environments where traditional radio communication is problematic. Advantages: Li-Fi is ideal for highly secure areas because light waves cannot penetrate walls, improving the security of data transmission. Implementation: Installation of Li-Fi hotspots and corresponding receivers in devices to enable fast and secure communication.

[0153] 4. Network Slicing in 5G Networks Approach: Use of network slicing in 5G networks to create virtual networks with specific quality and performance parameters for different use cases. Benefits: Enables the tailored configuration of network resources for different applications, improving efficiency and performance. Implementation: Establish different "slices" for different services such as autonomous driving, IoT devices, or emergency services to ensure optimal performance and reliability.

[0154] 5. Hybrid Cloud Solutions. Approach: Combining public and private cloud solutions for data processing and storage to maximize flexibility and scalability. Benefits: Hybrid clouds offer both the security of private clouds and the resources and scalability of public clouds. Implementation: Establishing a hybrid cloud infrastructure that allows sensitive data to be kept private while less critical data and resources are processed in the public cloud.

[0155] These technologies and approaches open up new possibilities for designing flexible, secure, and efficient communication networks. They each offer specific advantages that are particularly suited to specific deployment scenarios or requirements, and when combined, they can create a high-performance, adaptive, and more secure communication network.

[0156] Further aspects of the invention are described below: 1. Smart antenna systems. Approach: Use of smart antenna systems that utilize beamforming techniques to dynamically adjust signal direction, thus optimizing communication quality and range. Advantages: This technology can improve network efficiency by reducing interference and increasing signal strength in desired directions. Implementation: Installation of smart antenna systems in mobile and stationary devices that automatically align to the best available signal source.

[0157] 2. Enhanced Mobile Broadband (eMBB) Approach: Leveraging eMBB within 5G to enable extremely high data rates for multimedia applications, which is particularly useful for AR / VR applications. Benefits: eMBB provides the necessary bandwidth and speed to support high-resolution video streams and other data-intensive applications. Implementation: Deploying 5G networks with eMBB capability to ensure seamless and fast data transmission for demanding applications.

[0158] 3. Vehicular Communication Systems. Approach: Development of communication systems specifically for vehicles (Vehicle-to-Everything, V2X) that enable the exchange of information between vehicles and between vehicles and infrastructure.

[0159] Benefits: Improves road safety and efficiency through the exchange of real-time traffic information and warnings. Implementation: Integration of V2X communication modules into vehicles and traffic infrastructure that continuously exchange data.

[0160] 4. Advanced Positioning Systems. Approach: Use of advanced positioning systems beyond GPS to enable more precise localization and contextualization in urban or densely built-up environments. Benefits: Enables more accurate and reliable location determination, which is critical for many applications, especially in areas such as autonomous driving or emergency response. Implementation: Use of multi-sensor fusion techniques that combine data from GPS, IMUs, optical sensors, and other sources to increase accuracy.

[0161] 5. Satellite Communication Integration. Approach: Integration of satellite communication technologies to ensure global coverage and communication capability in remote or hard-to-reach areas. Advantages: Provides a reliable communication option independent of terrestrial network infrastructures, which is especially important for global or maritime applications. Implementation: Deployment of devices with satellite communication capability and the establishment of corresponding services to ensure broad and consistent network coverage. Each of these approaches can be used in different ways to improve the effectiveness and efficiency of communication in a fully automated system. The selection of the appropriate technology depends on the specific requirements of the operational area, the required range, speed, accuracy, and many other factors.

[0162] Further aspects of the invention are described below:

[0163] 1. Adaptive Communication Environment (ACE). Approach: Development of an adaptive communication environment that automatically selects the best communication method based on current environmental conditions and system requirements. Benefits: Flexibility and efficiency in changing networks and with varying communication needs. Implementation: Use of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) to dynamically adapt network settings and communication paths.

[0164] 2. Integration of Ultra-Reliable Low-Latency Communication (URLLC) approach: Leveraging URLLC within 5G networks to enable extremely reliable and low-latency communication for critical applications such as remote medical care or industrial automation. Benefits: Maximum reliability and minimal delays required for the safety and efficiency of critical operations.

[0165] Implementation: Implementation of 5G network architectures specifically designed for URLLC to meet the stringent requirements of these applications.

[0166] 3. Use of artificial intelligence for network optimization. Approach: Use of AI algorithms to predict network utilization and proactively adjust network resources to avoid bottlenecks and maximize communication efficiency. Benefits: Improved network management efficiency and optimized resource utilization. Implementation: Integration of AI-based analytics tools that collect and process real-time network data to make predictions and automatic adjustments.

[0167] 4. Development of autonomous communication agents. Approach: Creation of autonomous software agents capable of communicating independently with other devices and performing complex tasks such as setting up and maintaining communication channels. Benefits: Reducing human intervention and increasing efficiency through automated processes. Implementation: Programming of intelligent agents capable of understanding and independently implementing specific communication protocols and strategies.

[0168] 5. Application of cross-layer design. Approach: A cross-layer design approach in which information is exchanged between different layers of the communication protocol stack to optimize performance. Benefits: Improved network performance through a holistic consideration and adjustment of network parameters across multiple layers. Implementation: Development of network protocols that enable the exchange of information between layers such as the physical layer, the MAC layer, and the network layer.

[0169] 5G networks can be deployed in accordance with the invention and offer extremely fast data transmission and low latency, ideal for real-time communications and data-intensive applications. Support for network slicing enables different requirements for different applications within the same network. Edge computing, processing data at the edge of the network, close to the point of data generation, can be deployed in accordance with the invention to minimize latency and reduce bandwidth consumption. This increases efficiency and responsiveness in applications that require fast processing, such as autonomous driving or smart cities. Internet of Things (IoT) technologies enable widespread networking of devices, laying the foundation for automated communication processes. Sensors and actuators in devices enable direct data acquisition and action without human intervention.AI and machine learning – algorithms for analyzing data streams and making real-time decisions. AI can optimize network management, strengthen security protocols, and deliver personalized communication experiences.

Claims

Patent claims 1. A method for the fully automated establishment of at least one communication channel to at least one mobile terminal, comprising: - a continuous readout (100) of imaging sensors, wherein the imaging sensors are each operated by a plurality of mobile terminals and a plurality of stationary terminals; - detecting (101) a plurality of mobile terminals as potential communication partners based on the read-out imaging sensors; - identifying (102) at least one stored behavior pattern of at least one of the potential communication partners by means of the continuous reading (100) of the imaging sensors, wherein the at least one stored behavior pattern of the at least one potential communication partner is based on a classified behavior pattern of the at least one potential communication partner; and - establishing (103) a communication channel to at least one specific communication partner if the respectively identified (102) behavior pattern of this communication partner corresponds to a predefined behavior pattern.

2. Method according to claim 1, characterized in that the behavioral patterns are identified depending on sensor perspectives.

3. Method according to claim 1 or 2, characterized in that the behavioral patterns are identified as a function of sensor perspectives of at least one mobile terminal and at least one stationary terminal.

4. Method according to one of the preceding claims, characterized in that a focal length of at least one imaging sensor is adjusted as a function of a sensor resolution and / or an identified number of communication partners.

5. Method according to one of the preceding claims, characterized in that a resolution of a first sensor is read out and, if a stored target value deviates, a second sensor is used alternatively or additionally.

6. Method according to one of the preceding claims, characterized in that the behavioral patterns are analyzed as a function of several imaging sensors, at least one location sensor, at least one air pressure sensor and / or an environmental sensor.

7. Method according to one of the preceding claims, characterized in that a behavior pattern comprises a stored trajectory, a speed, a movement of at least one component, an action of at least one component, a change in speed, a change in height, a change in position, an electrical signal, a physical change of at least one component and / or behavioral information.

8. Method according to one of the preceding claims, characterized in that a communication channel is selected depending on an identified behavior pattern.

9. Method according to one of the preceding claims, characterized in that at least one communication channel is stored in advance, which is established by means of a transmitting unit with the at least one potential communication partner.

10. Method according to one of the preceding claims, characterized in that several behavioral patterns are identified in their entirety.

11. Method according to one of the preceding claims, characterized in that each mobile terminal and each stationary terminal each operates at least one sensor.

12. System arrangement for the fully automated establishment of at least one communication channel to at least one mobile terminal, comprising: - readout units configured for continuous readout (100) of imaging sensors, wherein the imaging sensors are each operated by a plurality of mobile terminals and a plurality of stationary terminals; - reading unit which is further configured to detect (101) a plurality of mobile terminals as potential communication partners based on the read-out imaging sensors; - at least one analysis unit configured to identify (102) at least one stored behavior pattern of at least one potential communication partner by means of the continuous readout (100) of the imaging sensors, wherein the at least one stored behavior pattern of the at least one potential communication partner is based on a classified behavior pattern of the at least one potential communication partner; and - a communication unit configured to establish (103) a communication channel to at least one specific communication partner if the respectively identified (102) behavior pattern of this communication partner corresponds to a predefined behavior pattern.

13. A computer program product comprising instructions which, when the program is executed by at least one computer, cause the computer to carry out the steps of the method according to one of claims 1 to 11.

14. A computer-readable storage medium comprising instructions which, when executed by at least one computer, cause the computer to carry out the steps of the method according to any one of claims 1 to 11.

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