Shenzhen Reolink Technology Co., Ltd.

Shenzhen Baichuan Security Technology Co., Ltd.

Yulong Que

Rui Zhou

Xiaoyu Liu

Sheng Yong

Lei Tang

Zhiqiang Xie

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 Vmore closely approximated to a true value can be obtained.

UAV navigation calibration method, non-transitory computer-readable storage medium and UAV implementing the same

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 Mof the vector sensor according to the reference data; acquiring original data Rof any vector measured by the vector sensor; acquiring valid data Vaccording to the zero-point offset Mand the original data R; and control headings and postures of the UAV according to the valid data V. With the calibration method in this application, the valid data Vis defined as a vector data acquired after a zero-point error of the original data Ris eliminated, which is more closely approximated to an actual value of a to-be-measured vector.

A range-finding method, a apparatus, a terminal system, and a computer-readable storage medium are provided. The range-finding method includes: transmitting a first check code from a transmitting terminal to a receiving terminal by using a first communication technology; transmitting a modulated signal from the transmitting terminal to the receiving terminal by using a second communication technology different from the first communication technology, where the modulated signal carries a second check code; acquiring a first moment at which the modulated signal is transmitted and a second moment at which the modulated signal is received; demodulating the second check code in the modulated signal; acquiring a range-finding confidence according to the first check code and the demodulated second check code; and acquiring a measured distance between the transmitting terminal and the receiving terminal according to the first moment, the second moment, a transmission speed of the modulated signal, and the range-finding confidence.

Range-finding method, range-finding apparatus, terminal system, and computer-readable storage medium

This application discloses an object detection method, a security device, and a readable storage medium. The object detection method includes: obtaining a plurality of first frames acquired by imaging an object within a first period of time; obtaining a plurality of second frames acquired by imaging the object within a second period of time, where an end time of the first period of time is a start time of the second period of time; comparing each of the second frames with the plurality of first frames one by one to determine whether a position variation of the object between the second frame and the first frame is less than a first preset threshold; if it is determined that the position variation of the object is less than the first preset threshold, increasing a count by one (1) and obtaining a total count after comparison with the plurality of second frames is completed; determining whether the total count reaches a second preset threshold; and if the total count reaches the second preset threshold, determining that the object is stationary; or if the total count does not reach the second preset threshold, determining that the object is moving. This application improves accuracy of a detection method such as an AI detection method in detecting a state of a stationary object and reduces false alarms.

Object detection method, security device, and readable storage medium

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.

Method for controlling optical sensing circuit, optical sensing circuit, and imaging device

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.

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Shenzhen, China

Yulong Que