Abstract: A microelectromechanical system (MEMS) structure and method of forming the MEMS device, including forming a first metallization structure over a complementary metal-oxide-semiconductor (CMOS) wafer, where the first metallization structure includes a first sacrificial oxide layer and a first metal contact pad. A second metallization structure is formed over a MEMS wafer, where the second metallization structure includes a second sacrificial oxide layer and a second metal contact pad. The first metallization structure and second metallization structure are then bonded together. After the first metallization structure and second metallization structure are bonded together, patterning and etching the MEMS wafer to form a MEMS element over the second sacrificial oxide layer. After the MEMS element is formed, removing the first sacrificial oxide layer and second sacrificial oxide layer to allow the MEMS element to move freely about an axis.

Abstract: A method for adjusting point cloud density, an electronic device, and a storage medium are provided. In the method an initial point cloud map and a distance determination threshold of a robot are obtained. A plurality of target regions in the initial point cloud map are determined, and an environmental complexity value of each target region is calculated. The initial point cloud map is divided into submaps, and a point cloud density coefficient of each submap is determined. The initial point cloud map is adjusted according to the point cloud density coefficient and the target point cloud map is obtained. By utilizing such method, adjustment efficiency and an accuracy of point cloud density can be improved.

Abstract: A system and method for controlling multi-party communication during video conferences communicatively connects with at least two participating terminals, each manned by one participant in the conference. A voice acquisition module acquires speech and video at each participating terminal. A recognition module acquires information as to an action state of a participant in the video and audio of what participant is saying, and determines whether the action of participant includes speaking movements and whether the audio includes what is being said by the participant. A control module can control the volume of other participating terminals and adjust the volumes of microphones of simultaneous speakers, to be louder, fainter, or muted, depending on assigned priority of each participant, for orderly control of conferences and as an overall recording.

Abstract: A method for directionally warning as to a target object behind a vehicle acquires images of environment surrounding the vehicle. Objects in the environment images are identified and high-risk target object or objects from all the objects is labeled. A relative direction and a relative location of the target object with the transportation are confirmed. A warning device is adjusted based on the relative direction and the relative location. The warning device gives directional warning as to the target object. A collision risk warning system and a transportation applying the method are also disclosed.

Abstract: A method for adjusting point cloud density, an electronic device, and a storage medium are provided. In the method an initial point cloud map and a distance determination threshold of a robot are obtained. A plurality of target regions in the initial point cloud map are determined, and an environmental complexity value of each target region is calculated. The initial point cloud map is divided into submaps, and a point cloud density coefficient of each submap is determined. The initial point cloud map is adjusted according to the point cloud density coefficient and the target point cloud map is obtained. By utilizing such method, adjustment efficiency and an accuracy of point cloud density can be improved.

Abstract: A data generating method includes obtaining first sample data, determining a type of the first sample data and a corresponding data expansion method, expanding the first sample data according to the determined data expansion method to generate second sample data, and dividing the first sample data and the second sample data into a training set and a verification set according to a preset rule. A data model is trained according to the training set, and the data model is verified according to the verification set after training.

Abstract: An image marking method includes acquiring an image and at least one feature to be marked in the image, searching for at least one target area matching the at least one feature to be marked in the image, and marking the at least one target area with a preset graphic. The feature corresponds to the preset graphic.

Abstract: A method for assisting a driver to drive a vehicle in a safer manner includes capturing images of road in front of the vehicle, and identifying a traffic sign in the images. A first image frame is captured at a first time and a second image frame is captured at a later second time when the images do comprise the traffic sign. A change in size or other apparent change of the traffic sign from the first image frame to the second image frame is determined, and conformity or non-conformity with a predetermined rule is then determined. The traffic sign can be analyzed and recognized to trigger the vehicle to perform an action accordingly when conformity is found. A device providing assistance with driving is also provided.

Abstract: A method for avoiding a collision between an autonomous mobile apparatus and a stationary or moving object initially deemed to be a collision threat includes acquiring a passage clearance of the object, from the point of view of the autonomous mobile apparatus, by establishing in two dimensions the nearest and the furthest physical parts of the object in the planned path of the autonomous mobile apparatus. Dimensions between the current position of the autonomous mobile apparatus and the at least two boundaries are computed as relative distances, and are considered as avoidance distances when the relative distances are greater than the passage clearance. For only one avoidance distance, a target boundary for clearance with safety is set based on the avoidance distance. The autonomous mobile apparatus moves along a specified direction to aim at the target boundary. An autonomous mobile apparatus applying the method is also disclosed.

Abstract: A computing device includes a processor and a memory. The processor is configured to acquire a voice instruction through at least two voice receiving devices, analyze the voice instruction to determine at least one display device controlled by the voice instruction, generate a control instruction according to the voice instruction, and send the control instruction to the at least one display device to cause the at least one display device to display corresponding contents according to the voice instruction.

Abstract: A method of training models in AI and an electronic device are disclosed, the electronic device is connected to other electronic devices and a controller, each electronic device is deployed with a single initial machine learning model and can obtain a prediction accuracy and weightings of neurons of the trained machine learning model. The controller determines new weightings from a plurality of the received weightings according to a preset rule and a plurality of received prediction accuracies. Each electronic device updates the weightings of neurons of the trained machine learning model to the new weightings. An electronic device is also disclosed. The method reduces a cost of training a machine learning model, utilizes network resources more efficiently, and improves an accuracy of the machine learning model.

Abstract: An image marking method includes acquiring an image and at least one feature to be marked in the image, searching for at least one target area matching the at least one feature to be marked in the image, and marking the at least one target area with a preset graphic. The feature corresponds to the preset graphic.

Abstract: A method applied to outdoor advertising for displaying a particular advertisement or particular type based on visitor flow includes acquiring images in a predetermined time duration, identifying specified targets in the acquired images, and counting members of specified target as different target member flows. A category of advertising content is matched based on different target member flows for extracting a specified number of adverts in the matching category. The extracted adverts repeatedly scroll on the electronic device after a specified time internal. An apparatus, an electronic device, and a storage medium applying the method are also disclosed.

Abstract: A method for detecting defects in manufactured objects includes acquiring a high-resolution image of an object for test, dividing the image into a plurality of smaller sub-images and determining, by a first model, whether each of the small sub-images is similar to a preset template image. The test object is determined to be flawless, when each of the sub-images is found to be similar to a template image. When sub-images are not found sufficiently similar to template images, determining, by a second model, whether a defect is shown to exist within each sub-image, and if so the test object is declared defective. The longer application of the second model is only applied if testing for defects is not resolved by the application of the first model. An electronic device and a computer readable storage medium are also provided.

Abstract: A voice recognition system includes a computing device and at least one mobile terminal communicatively coupled to the computing device through a network. The computing device obtains an original sound from the at least one mobile terminal and converts the original sound into a digitized time-frequency map, performs compression segmentation on the time-frequency map to obtain a sound image corresponding to the time-frequency map, and uses an image recognition method to recognize the sound image, obtain an enhanced sound image, and search a preset database for sound information corresponding to the enhanced sound image.

Abstract: An identity verification method applied in a computer device includes periodically collecting biometric data of a user. A difference between the collected biometric data and pre-stored biometric data is determined. The pre-stored biometric data is updated to be the collected biometric data, and the collected biometric data and identification information of the user are uploaded to a blockchain when the difference is greater than a preset threshold. Once current biometric data of the user is obtained, and the identification information of the user from the blockchain based on the current biometric data of the user is downloaded, identity verification is performed on the user based on the downloaded identification information.

Abstract: A data generating method includes obtaining first sample data, determining a type of the first sample data and a corresponding data expansion method, expanding the first sample data according to the determined data expansion method to generate second sample data, and dividing the first sample data and the second sample data into a training set and a verification set according to a preset rule. A data model is trained according to the training set, and the data model is verified according to the verification set after training.

Abstract: A method for classifying images by applying probabilities in steps includes selecting image category corresponding to an image classifier with the first probability value top ranked from the first layer image classifier set when the first layer image classifier set cannot classify an image to be identified. A second layer image classifier set is established according to the selected image category. The method selects output of the image classifier with the largest second probability value from the second layer image classifier set as result of classification when the second probability value of at least one image classifier is greater than or equal to a second predetermined value.

Abstract: A method for detecting an obstacle applicable in an electronic device includes detecting whether at least one object is within a line of sight of an image capturing device. The image capturing device is controlled to capture a first image of the object and the image capturing device is caused to move until a capturing angle for capturing another image of the object is changed. The image capturing device is controlled to capture a second image of the object and a determination is made as to whether the object in the first image is the same as the object in the second image. For such recognized objects, the object is determined to be a non-planar obstacle when the object in the first image is not the same as the object in the second image.

Abstract: A computing device includes a processor and a memory. The processor is configured to acquire a voice instruction through at least two voice receiving devices, analyze the voice instruction to determine at least one display device controlled by the voice instruction, generate a control instruction according to the voice instruction, and send the control instruction to the at least one display device to cause the at least one display device to display corresponding contents according to the voice instruction.