An image capture device for a secure industrial control system is disclosed. In an embodiment, the image capture device includes: an image sensor; a signal processor coupled to the image sensor; and a controller for managing the signal processor and transmitting data associated with processed image signals to at least one of an input/output module or a communications/control module via a communications interface that couples the controller to the at least one of the input/output module or the communications/control module, wherein the controller is configured to establish an encrypted tunnel between the controller and the at least one of the input/output module or the communications/control module based upon at least one respective security credential of the image capture device and at least one respective security credential of the at least one of the input/output module or the communications/control module.

The present disclosure provides a gimbal control method applied to a gimbal system. The method includes obtaining a current attitude of a rotating shaft frame included in the gimbal; obtaining a current operating mode of the gimbal; comparing the current attitude with a threshold attitude and obtaining a comparison result of the current attitude and the threshold attitude; and controlling the gimbal to rotate based on the comparison result. The current operating mode of the gimbal includes a stabilization mode and a follow mode; and controlling the gimbal to rotate based on the comparison result includes one or more of controlling the gimbal to rotate based on the comparison result to maintain the stabilization mode, controlling the gimbal to rotate based on the comparison result to maintain the follow mode, and controlling the gimbal to rotate to switch between the stabilization mode and the follow mode.

The present disclosure relates to an artificial intelligence (AI) system for simulating functions, such as recognition and determination, of the human brain by using a machine learning algorithm such as deep learning, and an application thereof. Provided are an automatic cooking device and method for selectively emitting light of different wavelength bands to a food material, identifying the food material by obtaining information about the food material, based on reflected light, and controlling a cooking process of the food material.

A device control system includes a control request issuing unit for issuing a control request defining a position of a moving object and the device control according to operation of a user; a determination plan generation unit configured to, based on the control request, generating a condition; a determination unit for determining whether a condition of the control request related to the moving object is satisfied and issuing an identifier of the control request; at least one condition determination generated by the determination plan generation unit; an execution plan generation unit for generating a control execution unit configured to receive the identifier of the control request, identifying a device that is a control target according to a control rule defined in the control request, and transferring a control command according to a control procedure, and one or a plurality of control execution units generated by the execution plan generation unit.

The present disclosure provides a mobile platform system. The system includes a mobile platform; a payload controller connected to the mobile platform through a first communication link for generating a payload control signal; a payload connected to the payload controller and configured to receive the payload control signal generated by the payload controller; and a gimbal carried by the mobile platform, the gimbal including a gimbal controller and a gimbal driver, the gimbal controller being communicatively connected to the payload controller through a second communication link to control the gimbal driver.

A monitoring method for a goods shelf, a monitoring system for a goods shelf and a goods shelf are disclosed. The monitoring system for the goods shelf includes an image acquisition device and a controller. The image acquisition device includes a camera that is moveable along the goods shelf, and is configured to acquire an image of commodities on the goods shelf by the camera, and to send the image of the commodities to the controller; the controller is configured to recognize the image, which is acquired by the camera, of the commodities, so as to determine whether or not at least one of a group consisting of commodity shortage and commodity misplacement exists.

A control system (100) for a functional section (I, II, III) of a paper processing device (140). The control system (100) has at least one safety-monitoring camera (110, 120, 130) which is arranged in the functional section (I, II, III) such that a functional region of the functional section (I, II, III) can be captured by the safety-monitoring camera (110, 120, 130). An operating unit (101) of the system (100) is designed to operate the functional section (I, II, III), and image data of the at least one safety-monitoring camera (110, 120, 130) can be selected by the operating unit (101). A display unit (103) is configured to display the selected image data such that a user allows or blocks the operation of the functional section (I, II, III) based on the displayed image data. A safety device (102) is coupled to the safety-monitoring camera (110, 120, 130) and the operating unit (101), and the safety device (102) receives image data of the safety-monitoring camera (110, 120, 130). The safety device (102) is configured such that the safety device (102) allows or blocks the operation of the functional section (I, II, III) by means of the operating unit (101) on the basis of the received image data of the safety-monitoring camera (110, 120, 130).

An image capture device for a secure industrial control system is disclosed. In an embodiment, the image capture device includes: an image sensor; a signal processor coupled to the image sensor; and a controller for managing the signal processor and transmitting data associated with processed image signals to at least one of an input/output module or a communications/control module via a communications interface that couples the controller to the at least one of the input/output module or the communications/control module, wherein the controller is configured to establish an encrypted tunnel between the controller and the at least one of the input/output module or the communications/control module based upon at least one respective security credential of the image capture device and at least one respective security credential of the at least one of the input/output module or the communications/control module.

The present disclosure relates to a method for controlling a gimbal. The method includes determining whether there is a mechanical limit in the process of a gimbal moving from a current attitude to an expected attitude in a shortest path. When it is determined that there is a mechanical limit, the gimbal is controlled to move from the current attitude to the expected attitude according to a target moving direction, where the target moving direction is a moving direction opposite to a direction in which the gimbal moves from the current attitude to the expected attitude in the shortest path.

A method is disclosed for inspecting electrical components within a housing. The method may be useful for identifying dust, grime, corrosion, tree-like structures, edges and/or slots on electrical components. The method includes capturing two optical images of an electrical component and comparing the images. Variations in pixels between the two images may be used to generate warnings.