A motor module includes: a motor; a driving unit; a control unit; a communication unit that performs communication via a network in the vehicle; and a connection unit to which an operation module is connected without going through the network. The control unit determines identification information of a vehicle-mounted device based on a voltage applied according to a connection state between the motor module and the operation module, controls the driving unit based on control information with information which coincides with the identification information transmitted from a management module that manages the motor module and received by the communication unit, and controls the driving unit to operate the vehicle-mounted device based on an operation signal input from the operation module according to an operation state of the operation module via the connection unit.

A movable barrier operator system is provided. The system includes a control circuit, an electric motor; and communication circuitry. The control circuit is configured to control operation of the electric motor based on a control signal received by the communication circuitry.

A profile learning system for cooperative control of a dual actuator applied to opposite sliding doors may include a first position sensor configured to detect a position of a door that operates in a first direction along a rail; a spindle assembly including a spindle that operates in a second direction with respect to the door to prevent the door from rattling; first and second motors engaged to the door and the spindle assembly and configured to provide driving power to the door and the spindle assembly, respectively; a memory unit configured to store the position of the door; and a control unit configured to adjust an output of the second motor configured for a predetermined time period and to determine learning success or learning failure for complete opening or closing of the door based on the position of the door when a stall state is detected due to a difference in stroke between the first motor and the second motor.

A door system includes a controller for controlling the door system. A user computer system transmits information to the controller over a wireless connection to modify operating parameters for controlling the operation of the door system. During installation of the door system sensors may be utilized to determine if the door system has been installed properly. The sensors may be used to identify if the door system is mounted level and plum, and to review the movement, vibration, speed, acceleration, force, or the like of the sensors, and thus, the components to which the sensors are operatively coupled in order to make adjustments to the door assembly. Furthermore, the operating parameters of the installed door system, may be cloned and provided to other door systems in order to quickly clone and distribute the operating parameters of one or more door systems to one or more other door systems.

The present disclosure relates to a door management system comprising at least one door leaf, at least one a door operator, an electronic communication unit and at least one detector unit wherein the door operator comprise a control unit and a drive unit, wherein the drive unit is connected to and adapted to move the at least one door leaf between an open and a closed position, the control unit comprise a first set of configuration parameters and is adapted to control the drive unit based on the first set of configuration parameters, the at least one detector unit comprise a second set of configuration parameters and is configured to survey the environment of the at least one door leaf based on the second set of configuration parameters, the electronic communication unit comprise a user interface and is configured to receive and display the first and second set of configuration parameters on the user interface, receive and transmit an updated first set of configuration parameters to the control unit and the updated second set of configuration parameters to the at least one detector unit, wherein the control unit is configured to receive and replace the first set of configuration parameters with the updated first set of configuration parameters, and the at least one detector is configured to receive and replace the second set of configuration parameters with the updated second set of configuration parameters.

A system for automatically closing a trunk lid of a vehicle. The system comprises a trunk sensor system configured for detecting items in a luggage trunk, a trunk lid actuator for automatic closing of the trunk lid, and a control unit connected to the trunk sensor system and to the trunk lid actuator. The control unit is arranged for statistically determining, based on a set of observations of a trunk interior space by means of the trunk sensor system in connection with termination of a set of vehicle travels, one or more items or combination of items that are frequently remaining in the luggage trunk after completed travel, while preferably taking into account the one or more items stored in the luggage trunk during the travel, detecting opening of the trunk lid, detecting current items in the luggage trunk by means of the trunk sensor system, and controlling the trunk lid actuator for automatic closing of the trunk lid when the current items correspond to said one or more items or combination of items that are frequently remaining in the luggage trunk after a journey. The disclosure also relates to a corresponding computer-implemented method for automatically closing a trunk lid of a vehicle luggage trunk.

A vehicle operation detection device includes a storage unit configured to store a trained model obtained by machine learning using training data in which an image captured in advance and a body part used for a gesture of a user are associated with each other, an entry determination unit configured to determine whether, based on a position of the body part in the image obtained by inputting a newly captured image into the trained model, the body part enters a recognition area set in an imaging area of a camera, and a gesture determination unit configured to calculate a displacement vector of the body part based on images captured at a time interval after it is determined that the body part enters the recognition area, and determine, in accordance with whether a direction of the displacement vector is a direction corresponding to the gesture, whether the gesture is made.

An entrance system is disclosed which has a movable door member having a door leaf with a first vertical edge and a second vertical edge. A sensor unit monitors a zone at or near the door leaf for presence or activity of a person or object, and captures an image of an external object at the first vertical edge of the door leaf, and processing the captured image to identify an optical code and recognize a learning mode trigger instruction encoded therein. Triggered by the recognizing of the learning mode trigger instruction, a learning mode of the sensor unit is automatically entered into, in which a distance between the sensor unit and the external object at the first vertical edge is automatically measured and a field width parameter value of the sensor unit is set based on the measured distance.

A system and method for self-learning operation of gate paddles is disclosed. Opening and closing of the gate paddles requires timing and other settings to avoid injury and fare evasion. Self-learning allows a machine learning model to adapt to new data dynamically. The new data captured at a fare gate improves the machine learning model, which can be shared the other similar fare gates within a transit system so that learning disseminates.

Laser scanner monitors region in front of an opening. Monitoring region is delimited by a frame, in front of which an edge region is located. Propagation time sensing means determines position of an object in the monitoring region by a propagation time measurement of laser pulse, an evaluation unit being provided, by means of which first object information is produced, whether an object was sensed by the propagation time measurement. An intensity sensing means evaluating received laser pulse with respect to the intensity thereof and the sensed intensity is compared with a reference intensity stored in a memory unit. Second object information being provided in the event of deviation beyond a certain threshold value, whether an object is located in the hazard edge region on the basis of the intensity deviation. A “safety signal” generated by the evaluation unit if first or second object information is positive.