Abstract:
A preprocessing method for a radar point cloud for object recognition is provided. A plurality of points from a radar are received. Each point indicates the reception intensity of the signal reflected from the object received by the radar. The points are filtered according to the reception intensity to obtain a plurality of first preprocessing points. A cluster analysis algorithm is executed on the first preprocessing points to identify a plurality of target points corresponding to the object in the first preprocessing points. The target points are filtered according to the reception intensity to obtain a plurality of second preprocessing points. The second preprocessing points are input into an artificial intelligence model to perform object recognition.
Abstract:
An intravenous infusion detection device is provided in the invention. The intravenous infusion detection device includes a radar device, a digital signal processing (DSP) device and a controller. The radar device includes a plurality of transmission antennas and a plurality of receiving antennas. The transmission antennas are configured to transmit a plurality of radar signals and the receiving antennas are configured to receive a plurality of reflection signals corresponding to the radar signals. The DSP device transforms the plurality of reflection signals received from the plurality of receiving antennas into a plurality of one-dimensional (1D) waveform diagrams, transforms the plurality of 1D waveform diagrams into a three-dimensional (3D) waveform diagram, and obtains a drip level of a drip bag according to the 3D waveform diagram. The controller obtains the drip level of the drip bag from the DSP device and calculates the flow rate of the intravenous infusion.
Abstract:
A test device suitable for a predetermined wireless communication protocol includes a remote RF test box and a cloud server. The remote RF test box used to control a DUT to transmit or receive an RF signal includes an RF processing unit and a low-level processor. The RF processing unit receives the RF signal from the DUT, and down-converts the RF signal from the DUT into a baseband signal. The low-level processor converts the baseband signal into a digital signal. The cloud server stores an algorithm corresponding to the predetermined wireless communication protocol, communicates with the remote RF test box through a communication interface, receives and decodes the digital signal, and determines whether the DUT meets the predetermined wireless communication protocol through the algorithm of the predetermined wireless communication protocol.
Abstract:
The present invention presents an electronic device. The electronic device includes a socket and a supplementary antenna. The socket is disposed on the electronic device, wherein the socket includes an accommodating portion for accommodating an external wireless communication module inserted from the outside. The supplementary antenna is disposed in the electronic device, wherein when the wireless communication module is completely inserted into the accommodating portion, the main antenna of the wireless communication module and the supplementary antenna become electromagnetically coupled; and wherein when the wireless communication module is completely inserted into the accommodating portion, the electronic device transmits/receives wireless signals using the main antenna and the supplementary antenna together.
Abstract:
A radar detection device is provided. The radar detection device may include a radar device and a signal processing device. The radar device may include a plurality of antennas to transmit and receive radar signals. The signal processing device is coupled to the radar device, and the signal processing device determines that a target object is in a first area of a detection area or in a second area of the detection area according to the radar signals received by the radar device to determine to perform an activity detection or a vital-sign detection on the target object.
Abstract:
An electronic device includes a plurality of radars and at least one processor. Each of the radars includes at least one transmitting antenna and a plurality of receiving antennas arranged as a two-dimensional array antenna. The processor converts the RF signal received by the receiving antennas into a ranging profile that records the distance between each of the receiving antennas and the target and the receiving intensity corresponding to the distance. The processor generates a voxel profile to indicate the relationship between the distance and the receiving intensity in three-dimensional space. The processor performs a point generation algorithm to generate a plurality of points in three-dimensional space according to the voxel profile and the receiving intensity threshold. The processor performs a cluster analysis algorithm to identify a plurality of target points corresponding to the target among the points to obtain the position of the target.
Abstract:
A mobile device includes a ground plane, an antenna element, and at least one extension element. The ground plane has a first region and a second region. The antenna element is disposed on the first region. The extension element has an open end and a connection end. The connection end of the extension element is coupled to a side of the second region. The extension element is configured to enhance the radiation gain of the antenna element in a zenith direction.
Abstract:
A mobile device includes a ground plane, an antenna element, and one or more ring resonators. The ground plane has a first region and a second region. The antenna element is disposed on the first region. The ring resonators are disposed on the second region. Each of the ring resonators includes a first loop structure and a second loop structure. The ring resonators are configured to enhance the radiation gain of the antenna element in a zenith direction.