A non-transitory computer-readable medium stores computer-readable instructions configured to, when executed by a processor of an electronic device, cause the electronic device to display on a screen of a display an object for receiving an instruction to cause the electronic device to perform a specific operation including controlling an image processing device, obtain a position of the object in the screen, obtain a position of the indicator based on output signals from a millimeter wave radar, determine whether the position of the indicator is within a particular range relative to the position of the object, and when determining that the position of the indicator is within the particular range, transmit to the image processing device a preliminary operation command instructing the image processing device to start a preliminary operation to shorten a time required to complete the specific operation.

A non-transitory computer-readable medium stores computer-readable instructions configured to, when executed by a processor of an electronic device, cause the electronic device to display on a screen of a display an object for receiving an instruction to cause the electronic device to perform a specific operation including controlling an image processing device, obtain a position of the object in the screen, obtain a position of the indicator based on output signals from a millimeter wave radar, determine whether the position of the indicator is within a particular range relative to the position of the object, and when determining that the position of the indicator is within the particular range, transmit to the image processing device a preliminary operation command instructing the image processing device to start a preliminary operation to shorten a time required to complete the specific operation.

A smart street parking management system includes a smart street parking meter a smart cloud parking management server connected to the smart street parking meter through a wireless networking technology and configured to regularly receive parking information of a vehicle parked on a smart street parking grid and status information of the smart street parking meter uploaded by the smart street parking meter. The status information of the smart street parking meter includes an empty-space status of the street parking grid detected by the smart street parking meter and a battery status of a rechargeable battery of the smart street parking meter. The parking information of the vehicle includes the plate number of the vehicle, the parking fee of the vehicle, and a payment status of the parking fee of the vehicle.

A smart street parking management system includes a smart street parking meter a smart cloud parking management server connected to the smart street parking meter through a wireless networking technology and configured to regularly receive parking information of a vehicle parked on a smart street parking grid and status information of the smart street parking meter uploaded by the smart street parking meter. The status information of the smart street parking meter includes an empty-space status of the street parking grid detected by the smart street parking meter and a battery status of a rechargeable battery of the smart street parking meter. The parking information of the vehicle includes the plate number of the vehicle, the parking fee of the vehicle, and a payment status of the parking fee of the vehicle.

A radar detection method may include: transmitting a first radar signal in a field of view and receiving a second radar signal originated from reflections of the first radar signal in the field of view; generating a detection profile by processing the first and second radar signals, the detection profile representing intensities of the second radar signal as a function of positions in the field of view; and analyzing the detection profile to identify targets in the field of view. Analyzing the detection profile may include: using a first mode of analysis, with lower sensitivity, for first cycles, wherein the first mode of analysis is configured to detect a target entering the field of view; using a second mode of analysis, with higher sensitivity, for second cycles following the first cycles, wherein the second mode of analysis is configured to detect stay of the target in the field of view.

A radar detection method may include: transmitting a first radar signal in a field of view and receiving a second radar signal originated from reflections of the first radar signal in the field of view; generating a detection profile by processing the first and second radar signals, the detection profile representing intensities of the second radar signal as a function of positions in the field of view; and analyzing the detection profile to identify targets in the field of view. Analyzing the detection profile may include: using a first mode of analysis, with lower sensitivity, for first cycles, wherein the first mode of analysis is configured to detect a target entering the field of view; using a second mode of analysis, with higher sensitivity, for second cycles following the first cycles, wherein the second mode of analysis is configured to detect stay of the target in the field of view.

A radar system for tracking UAVs and other low flying objects utilizing wireless networking equipment is provided. The system is implemented as a distributed low altitude radar system where transmitting antennas are coupled with the wireless networking equipment to radiate signals in a skyward direction. A receiving antenna or array receives signals radiated from the transmitting antenna, and in particular, signals or echoes reflected from the object in the skyward detection region. One or more processing components is electronically coupled with the wireless networking equipment and receiving antenna to receive and manipulate signal information to provide recognition of and track low flying objects and their movement within the coverage region. The system may provide detection of objects throughout a plurality of regions by networking regional nodes, and aggregating the information to detect and track UAVs and other low flying objects as they move within the detection regions.

A radar system for tracking UAVs and other low flying objects utilizing wireless networking equipment is provided. The system is implemented as a distributed low altitude radar system where transmitting antennas are coupled with the wireless networking equipment to radiate signals in a skyward direction. A receiving antenna or array receives signals radiated from the transmitting antenna, and in particular, signals or echoes reflected from the object in the skyward detection region. One or more processing components is electronically coupled with the wireless networking equipment and receiving antenna to receive and manipulate signal information to provide recognition of and track low flying objects and their movement within the coverage region. The system may provide detection of objects throughout a plurality of regions by networking regional nodes, and aggregating the information to detect and track UAVs and other low flying objects as they move within the detection regions.

A method and system improve on the accuracy of detecting the presence of people in a room. Aspects of the embodiments may be used for occupancy sensors by monitoring occupant physiological movements. In an embodiment, a Doppler radar sensor may be used to measure the occupant-related physiological signals, calculate the Riemann integral (RI) of the occupants' cardiopulmonary movement displacement, body movement index (BMI), and amplitude difference accumulation (ADA) of the body movement. A determination for detection of occupants may be by adaptive thresholding.

A method and system improve on the accuracy of detecting the presence of people in a room. Aspects of the embodiments may be used for occupancy sensors by monitoring occupant physiological movements. In an embodiment, a Doppler radar sensor may be used to measure the occupant-related physiological signals, calculate the Riemann integral (RI) of the occupants' cardiopulmonary movement displacement, body movement index (BMI), and amplitude difference accumulation (ADA) of the body movement. A determination for detection of occupants may be by adaptive thresholding.