Remo Tech Co., Ltd.

Shenzhen Goodix Technology Co., Ltd.

Gree Electric Appliances, Inc. of Zhuhai

Leayun Technology Co., Ltd. of Zhuhai

Zenowell Limited

Ming Zhang

Jian Dong

Dechao Song

Liqian Chen

Yu Hui Peng

Yuanzhao Wang

Long Huang

Yuan Yuan

Xiaoze Zhou

Zhijian Zhen

Xuezhen Xiao

Yao Xue

Lihao Qiu

Auricular vagus nerve stimulation device

A vision-based target tracking method, a system, an equipment, and a storage medium. The method includes: acquiring face positions and body positions in a current image frame; acquiring a current position of a time-series tracking target by a time-series tracking algorithm; determining, when a face matching the face of a to-be-tracked target does not exist outside a region corresponding to the current position of the time-series tracking target, whether the time-series tracking target is in an intersecting state; determining whether a body matching the body of the to-be-tracked target in other persons intersecting the times-series tracking target when in the intersecting state, or using the current position of the time-series tracking target as a current target position if not in the intersecting state; and taking the current target position as the position of the to-be-tracked target in the previous frame, and returning to the above steps.

Vision-based target tracking method, system, equipment, and storage medium

Electronic atomizer

The Internet of Things device monitoring method includes that: device information of each of a plurality of online Internet of Things devices present in any one of the plurality of constructed Internet of Things device groups is acquired; group ring information is generated according to the device information of each of the plurality of the online Internet of Things devices; the group ring information is sent to the plurality of online Internet of Things devices offline device sent by any one of the plurality of the online Internet of Things devices in the online Internet of Things device ring, offline detection data is sent to each of the plurality of the online Internet of Things devices in the online Internet of Things device ring; and an actual offline Internet of Things device in the online Internet of Things device ring is determined according to response data corresponding to the offline detection data.

Internet of things device monitoring method, server, and internet of things device

Provided are a method, apparatus and device for image capturing and a storage medium. The method includes acquiring the bounding box of a lens tracking target in an image to be captured; using a pre-trained reference model to predict the first reference position of the image to be captured; and determining a lens movement offset based on the position of each pixel in the bounding box and the first reference position.

Method, apparatus, and device for image capture, and storage medium

Disclosed are an automatic surround photographing method and system for a target. The method includes: obtaining an angle parameter of a yaw-axis gimbal, and processing an image obtained by a camera to obtain a distance parameter; obtaining, by means of calculation, a control parameter of a rotation angle of a steering gear according to the angle parameter of the yaw-axis gimbal and the distance parameter; and controlling, according to the angle parameter of the yaw-axis gimbal, the rotation of a gimbal of a gimbal camera so as to control the rotation of the camera, and controlling, according to the control parameter of the rotation angle of the steering gear, a rotation angle of the steering gear in a photographing-moving apparatus for placement of the gimbal camera, such that the photographing-moving apparatus surrounds and tracks a target, and performs surround photographing of the target.

Automatic surround photographing method and system for target

The present disclosure discloses an encryption method and an encryption apparatus. The encryption method comprises: generating an AES initial key by using an SAES encryption algorithm, and expanding the AES initial key to obtain an AES encryption key; and encrypting information to be encrypted by using the AES encryption key according to an AES encryption algorithm to generate encrypted data. As such, the AES encryption key is encrypted by introducing the SAES algorithm, which increases the difficulty in cracking the AES encryption key. An attacker may crack the AES by firstly cracking the AES encryption key, which increases the overall difficulty in cracking the AES encrypted data. Further, the SAES encryption algorithm and the AES encryption algorithm are implemented by means of an ASIC integrated in an encryption chip.

Encryption method and encryption device

Growing community of inventors

Guangdong, China

Ming Zhang