An elevator door sensor arrangement including: a position sensor configured to determine a configuration of an elevator door of an elevator car; an auxiliary sensor configured to monitor for an object in a sensing region outside of the elevator car, the region being an approach to the elevator car; and a door sensor controller configured to output a signal to a door controller indicating that an object has been sensed by the auxiliary sensor in the sensing region, wherein the sensing region is altered in size and/or location based on the configuration of the elevator door as determined by the position sensor.

A security check method includes: pre-creating at least four concurrently operating threads, one thread being responsible for movement control and data acquisition, one thread being responsible for imaging processing, one thread being responsible for interface displaying, and one thread being responsible for target detection and recognition; then the four concurrently operating threads divide original echo data of a human body to be checked into data of a plurality of adjacent overlapped azimuthal segments during data processing and perform individual processing on the data of each azimuthal segment. The security check system includes a thread creating unit, a first thread parallel unit, a second thread parallel unit, a third thread parallel unit, a fourth thread parallel unit, and a thread loop control unit. Because subsequent data processing is not required to be performed after the acquisition of all data is completed, the time for a security check process is reduced.

A preferred IR-bicycle comprises an infrared (IR) sensor and non-IR electronics. The IR sensor detects a person in the proximity of the IR-bicycle (i.e. a nearby person). Once the IR sensor detects a nearby person, the non-IR electronics switches from a first mode to a second mode, wherein the power consumption in the first mode is substantially lower than that in the second mode.

A GPU-based human body microwave echo simulation method includes: transmitting emulation input parameters from the memory of a CPU host into the display memory of a GPU device; configuring, at the CPU host, parallel computing network parameters to be run at the GPU device; initiating a kernel function for human body microwave echo simulation preset in the CPU host; computing the kernel function in parallel, in a plurality of processing kernels of the GPU device, in a multi-threaded manner, according to the parallel computing network parameters, to obtain simulation echoes of human body microwaves; transmitting the obtained simulation echoes of human body microwaves from the GPU device back to the CPU host. The method makes full use of the characteristic that a GPU can perform parallel computing to accelerate the echo simulation process, greatly improving the real-time performance of echo simulation of a human body microwave scanning and imaging system.

An apparatus detects and warns pedestrians of traffic approaching an intersection. The apparatus includes multiple unitary sensors for detecting traffic, each unitary sensor being capable of detecting a pedestrian and a moving metal object such as a forklift. The unitary sensors use microwaves to detect moving metal objects and, in some embodiments can also use microwaves to detect pedestrians. Each of the unitary sensors has an activatable pedestrian mode that, when activated, allows the unitary sensor to sense and detect the presence of pedestrians.

A system may include a surface penetrating radar system. The system may further include a battery system of a vehicle. At least a portion of the battery system of the vehicle may also be at least a portion of the surface penetrating radar system.

A wearable proximity warning device is provided that uses a novel method of processing images from a high frame rate digital camera to detect human threats from behind and determine if there are any approaching threats by using novel pixel counting and threat detection analysis algorithms. The device is worn on the back of the body either by use of a belt clip or with chest straps. The user may use select from a variety of warning options from the device including audible warning tones, device vibration or smartphone SMS/MMS text messaging. Stored video is saved by the device and may be periodically uploaded to secure cloud storage. The device contains a rechargeable battery that may be recharged using a USB port. The device uses adaptive human recognition that switches between facial recognition detection mode and body recognition detection mode depending on distance of the threat from the user.

A method of millimeter-wave human body security checking based on double standing postures is provided, including: scanning and checking a body of a checked person in a first standing posture by using a millimeter-wave human body security detector, so as to obtain a first millimeter-wave human body image; scanning and checking the body of the same checked person in a second standing posture by using the millimeter-wave human body security detector, so as to obtain a second millimeter-wave human body image, wherein the second standing posture is different from the first standing posture (S10); and determining whether the checked person carries contraband based on at least the first millimeter-wave human body image and the second millimeter-wave human body image (S20). A system of millimeter-wave human body security checking based on double standing postures is provided, including: a millimeter-wave human body security detector (100) configured to: scan and check a body of a checked person in a first standing posture, so as to obtain a first millimeter-wave human body image, and scan and check the body of the same checked person in a second standing posture, so as to obtain a second millimeter-wave human body image, wherein the second standing posture is different from the first standing posture; and a processor (200) communicating with the millimeter-wave human body security detector (100) and configured to determine whether the checked person carries contraband based on at least the first millimeter-wave human body image and the second millimeter-wave human body image.

A wearable proximity warning device called SIMS (Surrounding Intelligent Motion Sensor) is provided that uses a novel method of processing images from a high frame rate digital camera to detect human threats from behind and determine if there are any approaching threats by using novel pixel counting and threat detection analysis algorithms. The device is worn on the back of the body either by use of a belt clip or with chest straps. The user may use select from a variety of warning options from the device including audible warning tones, device vibration or smartphone SMS/MMS text messaging. Stored video is saved by the SIMS device and may be periodically uploaded to secure cloud storage. The device contains a rechargeable battery that may be recharged using a USB port.

A preferred IR-bicycle comprises an infrared (IR) sensor and non-IR electronics. The IR sensor detects a person in the proximity of the IR-bicycle (i.e. a nearby person). Once the IR sensor detects a nearby person, the non-IR electronics switches from a first mode to a second mode, wherein the power consumption in the first mode is substantially lower than that in the second mode.