Abstract: A method for quality examination of cathode materials for lithium-ion batteries comprising steps of adding cathode material powders to a solution of a surfactant to form a cathode material mixture solution; transferring the cathode material mixture solution to ball milling; filtering the cathode material mixture through a 200-mesh sieve, measuring the weight of a first residue that does not pass through the sieve, and determining whether the weight of the first residue exceed a first threshold value; filtering the cathode material mixture through a 420-mesh sieve, measuring the weight of a second residue that does not pass through the sieve, and determining whether the weight of the second residue exceed a second threshold value; and analyzing the second residual and determining whether multiple metal elements exceed multiple threshold values.

Abstract: A method for fingerprint comparison according to an embodiment includes acquiring a fingerprint image to be compared, performing a first-stage fingerprint comparison on the fingerprint image to be compared and an enrolled fingerprint image, determining, according to a result of the first-stage fingerprint comparison, whether to perform a second-stage fingerprint comparison on the fingerprint image to be compared and the enrolled fingerprint image, and determining, according to the result of the first-stage fingerprint comparison or a result of the second-stage fingerprint comparison, whether the comparison between the fingerprint image to be compared and the enrolled fingerprint image is successful. With the method, the fingerprint comparison speed can be improved.

Abstract: A method for fingerprint enrollment according to an embodiment includes extracting fingerprint feature points of a fingerprint image, fragmenting the fingerprint image in units of each fingerprint feature point, to obtain a feature fragment corresponding to each fingerprint feature point, and determining, according to whether the feature fragment meets an enrollment condition, whether the fingerprint enrollment is completed. Each fingerprint image can be fully utilized, so that the count of presses on the fingerprint sensor by a user of fingerprint enrollment is reduced, and the enrollment experience of the user is improved.

Abstract: A method for fingerprint enrollment according to an embodiment of the present disclosure is adapted to an electronic device including a display and a fingerprint sensor. The method includes displaying a fingerprint enrollment interface on the display, wherein the fingerprint enrollment interface includes a progress indicator, displaying, according to a swipe action of a finger detected by the fingerprint sensor, a growing progress of the progress indicator on the fingerprint enrollment interface, and displaying, in response to the fingerprint sensor detecting that the finger is not removed, the progress indicator in a growing state on the fingerprint enrollment interface to represent that fingerprint information is being collected from the swipe action. According to the method disclosed in the embodiments of the present disclosure, it is possible to guide a user to input more fingerprint information.

Abstract: The present disclosure relates to an updating method for configuration parameters of an electronic device, a device and a computer-readable medium, wherein the updating method includes: acquiring fingerprint information collected by a fingerprint sensor at the electronic device; determining whether the fingerprint information is collected in a trusted mode; acquiring, in response to determining that the fingerprint information is collected in the trusted mode, a target configuration parameter of the electronic device for anti-spoofing detection according to the fingerprint information; and updating, in response to that the target configuration parameter of the electronic device and/or a current configuration parameter of the electronic device satisfies a preset condition, the current configuration parameter of the electronic device based on the target configuration parameter of the electronic device, wherein the current configuration parameter is used by the electronic device for anti-spoofing detection of a

Abstract: A calibration method for a robotic arm system is provided. The method includes: capturing an image of a calibration object fixed to a front end of the robotic arm by a visual device, wherein a pedestal of the robotic arm has a pedestal coordinate system, and the front end of the robotic arm has a first relative relationship with the pedestal, the front end of the robotic arm has a second relative relationship with the calibration object; receiving the image and obtaining three-dimensional feature data of the calibration object according to the image by a computing device; and computing a third relative relationship between the visual device and the pedestal according to the three-dimensional feature data, the first relative relationship, and the second relative relationship to calibrate a position error between a physical location of the calibration object and a predictive positioning-location generated by the visual device.

Abstract: The present disclosure relates to an updating method for configuration parameters of an electronic device, a device and a computer-readable medium, wherein the updating method includes: acquiring fingerprint information collected by a fingerprint sensor at the electronic device; determining whether the fingerprint information is collected in a trusted mode; acquiring, in response to determining that the fingerprint information is collected in the trusted mode, a target configuration parameter of the electronic device for anti-spoofing detection according to the fingerprint information; and updating, in response to that the target configuration parameter of the electronic device and/or a current configuration parameter of the electronic device satisfies a preset condition, the current configuration parameter of the electronic device based on the target configuration parameter of the electronic device, wherein the current configuration parameter is used by the electronic device for anti-spoofing detection of a

Abstract: An electronic device with a fingerprint sensing function and a fingerprint image processing method are provided. The electronic device includes a processor, a fingerprint sensor, and a temperature sensor. The fingerprint sensor is coupled to the processor. The fingerprint sensor is configured to obtain a current fingerprint image. The temperature sensor is coupled to the processor. The temperature sensor is configured to obtain current temperature information. The processor obtains current background noise according to the current temperature information, and removes the background noise from the current fingerprint image to generate a corrected fingerprint image.

Abstract: An electronic device for distinguishing between fingerprint feature points and non-fingerprint feature points and a method for the same are provided. A plurality of feature points are extracted from a fingerprint input image, and non-fingerprint feature points are distinguished from fingerprint feature points and deleted. Accordingly, the electronic device for distinguishing between fingerprint feature points and non-fingerprint feature points and the method for the same can prevent non-fingerprint feature points from existing in a fingerprint registration template of a user, so as to protect fingerprint recognition from being affected by non-fingerprint feature points, thereby increasing safety and accuracy of identity authentication.

Abstract: A fingerprint recognition method adapted to an electronic device is provided. The electronic device includes a processing unit and a fingerprint sensor. The fingerprint recognition method includes steps of: obtaining a plurality of swiping frames; extracting a plurality of feature points respectively from the plurality of swiping frames to generate a plurality of pre-registered fingerprint datasets accordingly; merging the plurality of pre-registered fingerprint datasets; generating a registration template according to the merged pre-registered fingerprint datasets; obtaining a pressing frame; extracting a plurality of feature points from the pressing frame to generate a verifying fingerprint dataset; and comparing the verifying fingerprint dataset with the registration template, so as to determine whether the verifying fingerprint dataset matches the registration template. The above electronic device is also provided.

Abstract: An electronic device with a fingerprint sensing function and a fingerprint image processing method are provided. The electronic device includes a processor, a fingerprint sensor, and a temperature sensor. The fingerprint sensor is coupled to the processor. The fingerprint sensor is configured to obtain a current fingerprint image. The temperature sensor is coupled to the processor. The temperature sensor is configured to obtain current temperature information. The processor obtains current background noise according to the current temperature information, and removes the background noise from the current fingerprint image to generate a corrected fingerprint image.

Abstract: A calibration method for a robotic arm system is provided. The method includes: capturing an image of a calibration object fixed to a front end of the robotic arm by a visual device, wherein a pedestal of the robotic arm has a pedestal coordinate system, and the front end of the robotic arm has a first relative relationship with the pedestal, the front end of the robotic arm has a second relative relationship with the calibration object; receiving the image and obtaining three-dimensional feature data of the calibration object according to the image by a computing device; and computing a third relative relationship between the visual device and the pedestal according to the three-dimensional feature data, the first relative relationship, and the second relative relationship to calibrate a position error between a physical location of the calibration object and a predictive positioning-location generated by the visual device.

Abstract: An electronic device and a registration template generating method are provided. The method includes: obtaining first biometric information; determining, by first software, whether the first biometric information passes verification according to the first biometric information and a first registration template; generating, by second software, a pre-enrolled dataset according to the first biometric information if the first biometric information passes verification; generating a second registration template corresponding to the second software according to the pre-enrolled dataset when an amount of data of the pre-enrolled dataset is greater than a threshold; and determining, by the second software, whether second biometric information passes verification according to the second biometric information and the second registration template when the second biometric information is obtained.

Abstract: An electronic device for distinguishing between fingerprint feature points and non-fingerprint feature points and a method for the same are provided. A plurality of feature points are extracted from a fingerprint input image, and non-fingerprint feature points are distinguished from fingerprint feature points and deleted. Accordingly, the electronic device for distinguishing between fingerprint feature points and non-fingerprint feature points and the method for the same can prevent non-fingerprint feature points from existing in a fingerprint registration template of a user, so as to protect fingerprint recognition from being affected by non-fingerprint feature points, thereby increasing safety and accuracy of identity authentication.

Abstract: An electronic device and a registration template generating method are provided. The method includes: obtaining first biometric information; determining, by first software, whether the first biometric information passes verification according to the first biometric information and a first registration template; generating, by second software, a pre-enrolled dataset according to the first biometric information if the first biometric information passes verification; generating a second registration template corresponding to the second software according to the pre-enrolled dataset when an amount of data of the pre-enrolled dataset is greater than a threshold; and determining, by the second software, whether second biometric information passes verification according to the second biometric information and the second registration template when the second biometric information is obtained.

Abstract: A method and electronic device for updating registered fingerprint datasets of fingerprint recognition are provided.

Abstract: A fingerprint recognition method adapted to an electronic device is provided. The electronic device includes a processing unit and a fingerprint sensor. The fingerprint recognition method includes steps of: obtaining a plurality of swiping frames; extracting a plurality of feature points respectively from the plurality of swiping frames to generate a plurality of pre-registered fingerprint datasets accordingly; merging the plurality of pre-registered fingerprint datasets; generating a registration template according to the merged pre-registered fingerprint datasets; obtaining a pressing frame; extracting a plurality of feature points from the pressing frame to generate a verifying fingerprint dataset; and comparing the verifying fingerprint dataset with the registration template, so as to determine whether the verifying fingerprint dataset matches the registration template. The above electronic device is also provided.

Abstract: A fingerprint recognition device and method thereof are provided. The fingerprint recognition method includes: obtaining a plurality of swiping frames; generating a plurality of registered fingerprint datasets according to the swiping frames; obtaining a pressing fingerprint dataset; and comparing the pressing fingerprint dataset with the registered fingerprint datasets.

Abstract: A fingerprint matching device and method are provided. The fingerprint matching method applied to a swipe sensor includes: obtaining first swiping dataset; generating registered dataset from the first swiping dataset, wherein the registered dataset includes a first number of frames; extracting second swiping dataset, wherein the second swiping dataset includes a second number of frames and the second number is greater than the first number; and comparing the frames of the second swiping dataset with the registered dataset.