Neusoft Corporation

Fourstar Group Inc.

Lead Young Technology Co., Ltd.

Michael Weibin Zhang

Jian Yao

Menghui Yang

Yong Qing Wang

Xiaofeng Wu

Lili Xu

Yuan Iiu

Murphy Yang

Iven Tang

A system for controlling a plurality of light sources particularly LED's that are provided in a number of different arrangements including a light string and controlled from a controller that includes an input microphone for detecting an audio signal, at least one pre-amplifier, a microcomputer unit receiving signals from the pre-amplifier, and a circuit for driving a plurality of LED and that enables lighting control of the plurality of LED's in accordance with the input audio signal and within a wide dynamic range.

Musical beat detection system and method for lighting control

The present disclosure relates to method, storage medium and electronic device for detecting vehicle crashes. The method comprises: acquiring state information of a target vehicle; and determining an event type of the target vehicle according to the state information and a trained convolutional neural network, the event type being any of the following types: a crash event, a near crash event and a baseline event. The event type of the vehicle is determined using the trained convolutional neural network in the present disclosure, so that the accuracy is high; and near crash events can be detected, thus, when a near crash event is detected, the driver can be further alerted or an evading operation is directly performed on the vehicle, so that the safety is improved and the safety of the driver and passengers is guaranteed.

Method, storage medium and electronic device for detecting vehicle crashes

Multifunctional underwear sterilizer

The present disclosure relates to a vehicle tracking method, a computer readable storage medium, and an electronic device. The method includes: determining a predicted value of state information of a target tracking vehicle based on a sequential Kalman filtering model according to a most recently acquired tracking value of the state information of the target tracking vehicle, wherein the state information at least includes location information; obtaining a detected value of the state information of the target tracking vehicle; and in response to the obtained detected value, acquiring a new tracking value of the state information of the target tracking vehicle based on the sequential Kalman filtering model according to the detected value and the most recently determined predicted value. Through the above technical solution, the tracking value of the state information of the target tracking vehicle may be determined more accurately.

Vehicle tracking method, computer readable storage medium, and electronic device

The present disclosure relates to a target object detection method, a readable storage medium and an electronic device. The method is periodically executed and the method includes: identifying a target object based on first N frames of image data obtained within a current execution period, wherein N is a positive integer, and N is less than the total number of frames of image data that can be obtained within the current execution period; and if the target object is identified, tracking the target object based on the obtained image data within the remaining time period of the current execution period. In the above technical solution, when the target object is identified, the identified target object is tracked within the remaining time period of the current execution period, so that the data calculation amount can be effectively reduced.

Target object detection method, readable storage medium, and electronic device

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The present disclosure relates to a method, a computer readable storage medium and electronic equipment for analyzing driving behavior. The method comprises: acquiring image information in a running process of a target vehicle; acquiring time series data in the running process according to the image information; and acquiring a target driving behavior score for the running process according to the time series data.

Growing community of inventors

Hong Kong, China

Michael Weibin Zhang