Identification and guidance systems configured to facilitate vehicle management in logistics yards or the like are described. The systems can include an identification and guidance (I/G) unit attached to each transport vehicle within the logistics yard. The I/G unit transmits information (e.g., location and guidance information) over a wireless network to a remote controller. The remote controller can transmit relevant information received from the I/G unit to a portable communications device associated with the transport vehicle to which the I/G unit is mounted. For example, the portable communications device may be located in a tractor being used to maneuver the transport vehicle about the logistics yard so that the driver can use the information displayed on the portable communications device to assist with maneuvering the transport vehicle. Related methods are also described.

A clothing processing apparatus included in an Internet of Things (IoT) system is provided. The clothing processing apparatus includes a communication interface and a processor configured to perform a process including at least one clothing processing operation.

A clothing processing apparatus included in an Internet of Things (IoT) system is provided. The clothing processing apparatus includes a communication interface and a processor configured to perform a process including at least one clothing processing operation.

A method for assisting in position determination in a wireless communication system comprises obtaining (S1) of pairs of radio frequency environment data sets for each of a plurality of common positions. A pair of radio frequency environment data sets comprises radio frequency environment data of devices of a first access technology and a second access technology at a common position. A transformation operator is created (S2) based on the pairs. The transformation operator represents a relation between radio frequency environment data sets of the first and second access technology. A method for position determination in a wireless communication system based on transformation operator and network nodes therefore is also disclosed, as well as network nodes for performing the methods.

While path search at station premises, etc. has been performed without considering to stop by a store, etc. on the way to the destination, improvement on this path search is demanded. An optimum path selection apparatus at premises, includes: a user entry detection part that receives identification information transmitted from a terminal(s) held by a user(s) and detects entry of the user(s) into predetermined premises; a user information acquisition part that acquires, from the terminal(s), information about a destination(s) of the user(s), information about use or non-use of a facility(ies) on the premises, and information about a product(s) desired to be purchased at a store(s) on the premises; a path acquisition part that acquires an optimum path(s) to the destination(s) via the store(s) on the premises having the product(s) in stock; and an information presentation part that transmits the optimum path(s) to the terminal(s) held by the user(s).

A method generates a fence as a barrier between a user and an area of risk conditions within a designated space. One or more processors recognize an area of risk conditions, based a machine learning model trained by pre-determined indicators of the risk conditions and areas within the designated space. Movement patterns of a user are determined, based on machine learning of video images of the user's movements and behaviors. A risk condition is detected, based on the machine learning training of pre-determined areas and the pre-determined indicators of the risk conditions. Responsive to determining the user within or approaching the area of risk conditions, deploying, by the one or more processors, one or more mobile IoT devices as a fence between the user and the area of risk conditions, and generating a distraction diverting the user away from the area of the risk condition.

A method generates a fence as a barrier between a user and an area of risk conditions within a designated space. One or more processors recognize an area of risk conditions, based a machine learning model trained by pre-determined indicators of the risk conditions and areas within the designated space. Movement patterns of a user are determined, based on machine learning of video images of the user's movements and behaviors. A risk condition is detected, based on the machine learning training of pre-determined areas and the pre-determined indicators of the risk conditions. Responsive to determining the user within or approaching the area of risk conditions, deploying, by the one or more processors, one or more mobile IoT devices as a fence between the user and the area of risk conditions, and generating a distraction diverting the user away from the area of the risk condition.

The disclosure generally relates in part to a transient wireless communications network that includes a first intelligent node having a processor, a memory communicatively coupled with the processor and storing a predetermined schedule of shipping data for at least one asset, and one or more network communications interfaces to communicate on the transient wireless communications network, the memory storing machine readable instructions that, when executed by the processor, cause the processor to identify, based on referencing the predetermined schedule, a second intelligent node of the transient wireless communication network that is available to communicate with the first intelligent node based on a time slot of the predetermined schedule defining communication between intelligent nodes within the network. The processor may further cause the network communication interface to transmit, during the time slot, data, from the first intelligent node to the second intelligent node.

The disclosure generally relates in part to a transient wireless communications network that includes a first intelligent node having a processor, a memory communicatively coupled with the processor and storing a predetermined schedule of shipping data for at least one asset, and one or more network communications interfaces to communicate on the transient wireless communications network, the memory storing machine readable instructions that, when executed by the processor, cause the processor to identify, based on referencing the predetermined schedule, a second intelligent node of the transient wireless communication network that is available to communicate with the first intelligent node based on a time slot of the predetermined schedule defining communication between intelligent nodes within the network. The processor may further cause the network communication interface to transmit, during the time slot, data, from the first intelligent node to the second intelligent node.

The present invention describes a contactless signaling system for retail and other commercial environments whereby customers or workers can submit requests for assistance without the need to physically touch any button or other input device. A contactless call button unit comprises a proximity sensor operatively communicating with transmission means for sending a signal to at least one of a hub appliance and an employee communication receiver. The proximity sensor is triggered without requiring the user to physically contact the call button unit. Instead, when a portion of the user's body, such as the user's hand or finger, is within a predefined distance from the call button unit for a predefined period of time, a signal will be transmitted with a call request message.