The application provides an embodiment of a method for controlling a camera. The embodiment can receive an image transmitted from a camera and perform detection on the image, wherein if a target object is not detected, a search instruction for controlling the camera to rotate in a vertical direction is transmitted to the camera until the target object is detected in an image, and then posture parameters of the target object in the image are acquired, wherein if the posture parameters do not match a preset posture parameter criteria, a fine adjustment instruction for controlling the camera to rotate and move is transmitted to the camera, until the posture parameters of the target object match the preset posture parameter criteria. Thus, the embodiment can perform detection on an image acquired by a camera, i.e., detect whether the image contains a target object and whether a posture of the target object meets an image processing requirement, and if the detection is not successful, adjust the angle of the camera such that the image acquired by the camera meets the requirement. The application also provides a device for controlling a camera and a financial equipment terminal.
Benzodiazepine dimers having a structure represented by wherein the variables in formulae (I), (Ia), and (Ib) are as defined in the application. Such dimers are useful as anti-cancer agents, especially when used in an antibody-drug conjugate (ADC).
Provided are a data processing method, apparatus and system based on block chain technology. The method comprises: collecting information from an information source and gathering same; classifying the information according to the attribute of the information, and performing data processing on the classified different types of information; packaging a processing result of the different types of information, and generating basic block unit information; and according to a pre-set condition, organizing at least one piece of the basic block unit information into a new block, and linking the new block to a previous block in a block chain. The technical solution provided in the present application encrypts plaintext comprising complex and variable-length information into ciphertext by means of fixed-length calculation, and combines plaintext of fixed-length information and the ciphertext into a block chain, so as to guarantee the receipt and tamper-proof ability of the plaintext throughout the whole block chain. In addition, by means of performing classification processing and fixed-length calculation on the complex and variable-length information comprised in the plaintext and on the fixed-length information, the purpose of the complex and variable-length information being written into the block chain in a block manner can be achieved.
A method and device for encrypting and decrypting information in a short message. The method comprises: a lower layer of a mobile terminal receives at least one original short message comprising private information; when the original short message satisfies an encryption criterion, the lower layer of the mobile terminal encrypts the private information in the original short message to generate an encrypted short message, transmits to a short message application of the mobile terminal the encrypted short message; and upon receiving the encrypted short message, the short message application of the mobile terminal decrypts the encrypted short message.
The present invention discloses a moisture and radiation curable adhesive composition and the use thereof, in particular, to a moisture and radiation curable adhesive composition used as a liquid optical clear adhesive (LOCA) for handheld device and display (HHDD).
The method is suitable for human body re-identification among multiple cameras in an overlap-free area. Provided is a human body target re-identification method among multiple sensors, comprising the steps of: A. dividing a known human body image sequence and an individual image sequence to be identified in an image library into several groups, and calculating individual similarity difference characteristics of each group according to prototype similarity characteristics (S1); B. according to the individual similarity difference characteristics of each group and corresponding tags thereof, performing classifier training (S2); and C. calculating an average output weight value of the classifier so as to determine a best match human body (S3). The method can use multiple frames of image data to realize human body re-identification and measure the similarity of human body targets in the multiple frames of image data. Compared with an algorithm provided in the prior art, a significant difference distance provided by the method has a higher identification rate in a data set, and the robustness of influence factors, such as a larger outline, a dimension and shielding, generated on a human body in a sample image among different cameras can be effectively improved, so as to improve the identification rate of the algorithm.