A method including acquiring a captured image of an object with a camera, detecting a first pose of the object on the basis of 2D template data and either the captured image at initial time or the captured image at time later than the initial time, detecting a second pose of the object corresponding to the captured image at current time on the basis of the first pose and the captured image at the current time, displaying an AR image in a virtual pose based on the second pose in the case where accuracy of the second pose at the current time falls in a range between a first criterion and a second criterion; and detecting a third pose of the object on the basis of the captured image at the current time and the 2D template data in the case where the accuracy falls in the range.

It is inter alia disclosed to determining whether an object detected (160) based on at least one capacitance representative of at least one capacitance representative sensed by at least one capacitance sensing element (111, 112, 113) of an apparatus (100) corresponds to a predefined type of objects, the apparatus (100) further comprising a wireless charging unit (140), wherein the at least one capacitance sensing element (111, 112, 113) is at least partially placed in proximity to the wireless charging unit (140).

The application relates to a cleaning method of pool cleaning equipment and the pool cleaning equipment. The method includes: acquiring current image information of a target cleaning area; identifying dirty data based on the current image information; switching the cleaning mode of the pool cleaning equipment according to the dirty data. By switching the cleaning mode of the pool cleaning equipment in real time, the workload and the energy consumption of the pool cleaning equipment are reduced and the cleaning efficiency of the pool cleaning equipment is improved.

The application relates to a cleaning method of pool cleaning equipment and the pool cleaning equipment. The method includes: acquiring current image information of a target cleaning area; identifying dirty data based on the current image information; switching the cleaning mode of the pool cleaning equipment according to the dirty data. By switching the cleaning mode of the pool cleaning equipment in real time, the workload and the energy consumption of the pool cleaning equipment are reduced and the cleaning efficiency of the pool cleaning equipment is improved.

A computer-implemented method of attempting to identify an individual bird based on image data of the bird, comprising: receiving image data relating to an image which shows at least part of a foot of a bird at a bird station; processing the image data to determine whether the bird can be identified from the image using reference data which comprises, for each bird of a plurality of birds, a respective feature descriptor derived from an image of a foot of the bird, and respective bird identifier which identifies the bird; in case it is determined that the bird can be identified as being one of the birds, identifying the bird using the identifier which identifies the one of the birds; and in case it is determined that the bird cannot be identified as being one of the birds, generating an indicator indicating that the bird cannot be identified.

A localization device and a localization method for a vehicle are provided. The localization device includes an inertia measurer, an encoder, an image capturing device, and a processor. The processor obtains an encoded data by the encoder to generate a first odometer data, obtains an inertial data by the inertia measurer to generate a heading angle estimation data, and obtains an environmental image data by the image capturing device to generate a second odometer data. In a first fusion stage, the processor fuses the heading angle estimation data and the first odometer data to generate first fusion data. In a second fusion stage, the processor fuses the first fusion data, the heading angle estimation data and the second odometer data to generate pose estimation data corresponding to the localization device.