Abstract: This application discloses a calibration method for navigation of an UAV including a vector sensor. The calibration method includes: collecting, during a flight of the UAV, a current correction value and current data during a current measurement performed by the vector sensor; acquiring previous data during a previous measurement performed by the vector sensor; acquiring an adjustment quantity according to the current data and the previous data; acquiring a next correction value according to the current correction value and the adjustment quantity; and acquiring next original data during a next measurement performed by the vector sensor, acquiring next valid data according to the next original data and the next correction value , and controlling headings and postures of the UAV according to the next valid data. With the calibration method of this application, the next valid data Vk+1 more closely approximated to a true value can be obtained.

Abstract: This application discloses a calibration method for navigation of an unmanned aerial vehicle (UAV), a non-transitory computer-readable storage medium and a UAV implementing the same. The calibration method includes: collecting, during a flight of the UAV, reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M0 of the vector sensor according to the reference data; acquiring original data Rk of any vector measured by the vector sensor; acquiring valid data Vk according to the zero-point offset M0 and the original data Rk; and control headings and postures of the UAV according to the valid data Vk. With the calibration method in this application, the valid data Vk is defined as a vector data acquired after a zero-point error of the original data Rk is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

Abstract: This application discloses a vector sensor zero-point calibration method, device, and, apparatus, an electronic device, and a non-volatile computer-readable storage medium. The calibration method includes: acquiring reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M0 of the vector sensor according to the reference data; acquiring original data Rk of any vector measured by the vector sensor; and acquiring valid data Vk according to the zero-point offset M0 and the original data Rk. With the calibration method in this application, the valid data Vk is obtained after a zero-point error of the original data Rk is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

Abstract: A range-finding method, a apparatus, a terminal system, and a computer-readable storage medium are provided.

Abstract: This application discloses an object detection method, a security device, and a readable storage medium.

Abstract: This application discloses a method for controlling an optical sensing circuit, an optical sensing circuit, and an imaging device. The optical sensing circuit includes an optical sensor and a voltage dividing circuit connected in series, an input voltage (a voltage of the voltage dividing circuit) and an output voltage are obtained, a resistance value of the optical sensor is calculated according to the input voltage, a light intensity value is obtained according to the resistance value of the optical sensor, and then, different loads are controlled based on a level of the output voltage for light intensity in different ranges to perform corresponding operations. This application has high flexibility and strong adaptability, and can effectively broaden an application scope of a photosensitive device.

Abstract: The present invention provides a method, an apparatus, and a system for processing object-based video files. The method is applied to a camera or a camera cluster. When the moving object enters a monitoring area of the camera or the camera cluster, the camera or the camera cluster starts to capture videos containing the moving object; color block information of the moving object according to a preset first algorithm is recorded by the camera or the camera cluster; the moving object is identified and marked according to the color block information of the moving object by the camera or the camera cluster; and a video file is generated by merging videos containing a specific moving object which are captured in a preset period of time and is uploaded to a storage space by the camera or the camera cluster.