Abstract: An intelligent rescue method applied to a vehicle-mounted device and an airborne rescue device to enable semi-automatic warning and rescue of a broken-down, crashed, drowned, or stranded vehicle, enables communication between the vehicle-mounted device and the rescue device. The vehicle-mounted device determines by sensors a type of emergency of a vehicle, and performs a first assistance action and sends the rescue device a distress signal corresponding to the type of the emergency of the vehicle. The rescue device receives the distress signal and takes off from an initial position of the vehicle to a target position in response to the distress signal. Once the rescue device reaches the target position, the rescue device performs a second action for assistance.

Abstract: A driving record authentication method is provided. The method includes acquiring historical driving records of a driver and associated records of the driver. Once a non-fungible token image of the driver is minted based on the historical driving records and the associated records, the non-fungible token image is transmitted to a user terminal in response to a query request associated with the driver that sent the user terminal.

Abstract: An intelligent rescue method applied to a vehicle-mounted device and an airborne rescue device to enable semi-automatic warning and rescue of a broken-down, crashed, drowned, or stranded vehicle, enables communication between the vehicle-mounted device and the rescue device. The vehicle-mounted device determines by sensors a type of emergency of a vehicle, and performs a first assistance action and sends the rescue device a distress signal corresponding to the type of the emergency of the vehicle. The rescue device receives the distress signal and takes off from an initial position of the vehicle to a target position in response to the distress signal. Once the rescue device reaches the target position, the rescue device performs a second action for assistance.

Abstract: An employment recruitment method based on face recognition includes acquiring a candidate's data from a third-party website, analyzing the candidate's data by a semantic analysis method to identify human resources information of the candidate, and analyzing messages and postings in the human resources information of the candidate to determine candidate's personality. A terminal device acquires a second face image of the candidate by a second camera, analyzes the second face image of the candidate by a computer vision algorithm to determine a micro-expression of the candidate, and provides the candidate's human resources information, the candidate's personality, and the candidate's micro-expression to the recruiter to evaluate the candidate. The terminal device applying the method is also disclosed.

Abstract: A method for retrieving an object which becomes lost receives an image of an object from a camera device and analyzes the image to obtain features of the object. The features information comprises category of the object and other details such as serial number. Supplementary information of the object is input on a displayer, the supplemental information comprises time and location of a lost property office or other responsible authority in receiving an object apparently lost. Information according to the features of the object and the supplementary information is broadcast. A device facilitating the retrieval of such object is also disclosed.

Abstract: A method for analyzing validity of responses to a questionnaire by students identifies each student in classroom images, and analyzes the defined classroom behaviors of each student over a period of time. The classroom behaviors can include learning behaviors and non-learning behaviors. The method determines whether the non-learning behaviors of each student meet (ie. are less than) or exceed (ie. are more than) one or more preset conditions and accordingly screens the questionnaire responses as being valid or not valid. An electronic device and a storage medium for performing the above-described method are also disclosed.

Abstract: A method for analyzing validity of responses to a questionnaire by students identifies each student in classroom images, and analyzes the defined classroom behaviors of each student over a period of time. The classroom behaviors can include learning behaviors and non-learning behaviors. The method determines whether the non-learning behaviors of each student meet (ie. are less than) or exceed (ie. are more than) one or more preset conditions and accordingly screens the questionnaire responses as being valid or not valid. An electronic device and a storage medium for performing the above-described method are also disclosed.

Abstract: An employment recruitment method based on face recognition includes acquiring a candidate's data from a third-party website, analyzing the candidate's data by a semantic analysis method to identify human resources information of the candidate, and analyzing messages and postings in the human resources information of the candidate to determine candidate's personality. A terminal device acquires a second face image of the candidate by a second camera, analyzes the second face image of the candidate by a computer vision algorithm to determine a micro-expression of the candidate, and provides the candidate's human resources information, the candidate's personality, and the candidate's micro-expression to the recruiter to evaluate the candidate. The terminal device applying the method is also disclosed.

Abstract: A food depositing system for the benefit of customers and food shops includes a first electronic device. The first electronic device includes a processor and programs stored in a memory. The processor causes the display of an interactive depositing interface during a food depositing operation, the deposited food items being input as deposited items. Identity and certain features of a depositing customer are also obtained during the depositing operation and an association is made accordingly and stored to await the customer's takeback of food deposited.

Abstract: A method for retrieving an object which becomes lost receives an image of an object from a camera device and analyzes the image to obtain features of the object. The features information comprises category of the object and other details such as serial number. Supplementary information of the object is input on a displayer, the supplemental information comprises time and location of a lost property office or other responsible authority in receiving an object apparently lost. Information according to the features of the object and the supplementary information is broadcast. A device facilitating the retrieval of such object is also disclosed.

Abstract: A control system for maintaining a traffic warning triangle at a constant speed when deployed, notwithstanding rises and falls in the road surface, includes a driver, a driving controller, a detector, and a processor. The driving controller controls the driver to drive the mobile warning triangle to move on a road at a predetermined speed. The detector obtains information as to the road. The processor outputs control signals to the driving controller to control the mobile warning triangle to move at the constant predetermined speed when moving. A control method of the mobile warning triangle is also provided.

Abstract: A food depositing system for the benefit of customers and food shops includes a first electronic device. The first electronic device includes a processor and programs stored in a memory. The processor causes the display of an interactive depositing interface during a food depositing operation, the deposited food items being input as deposited items. Identity and certain features of a depositing customer are also obtained during the depositing operation and an association is made accordingly and stored to await the customer's takeback of food deposited.

Abstract: A control system for maintaining a traffic warning triangle at a constant speed when deployed, notwithstanding rises and falls in the road surface, includes a driver, a driving controller, a detector, and a processor. The driving controller controls the driver to drive the mobile warning triangle to move on a road at a predetermined speed. The detector obtains information as to the road. The processor outputs control signals to the driving controller to control the mobile warning triangle to move at the constant predetermined speed when moving. A control method of the mobile warning triangle is also provided.

Abstract: A system for controlling a traffic warning triangle to avoid obstacles when moving towards a placement location includes a depth calculating module, a determining module, and a control module. The traffic warning triangle includes a binocular camera to capture real-time images of a path or road in front of the triangle. The depth calculating module compares and analyzes first and second images, captured at the same time, to calculate depth information between the binocular camera and an obstacle. The determining module determines whether the depth information is less than a threshold value. The control module adjusts a moving direction of the mobile warning triangle to avoid the obstacle in response to the depth information being less than the threshold value, according to a process. An obstacle avoidance method of the mobile warning triangle is also provided.