A system for determining a level of debris accumulation in a region adjacent to at least one blade of a razor cartridge. The system includes a sensing unit to detect a measurement parameter which is one of an amount of light reflected from at least one area adjacent to the at least one blade, and an image of the at least one area adjacent to the at least one blade. A processing unit compares the detected measurement parameter to at least one reference threshold parameter and determines a level of debris accumulation in the at least one area adjacent to the at least one blade based on an amount of deviation of the detected measurement parameter from the at least one reference threshold parameter. Information regarding the determined level of debris accumulation is provided by at least one of a light indication, an aural indication, and a haptic indication.

Embodiments of the invention are directed to a method of determining underground liquid content (e.g., water, sewage, etc.). Embodiments may include: receiving, from a radiofrequency radiation sensor, a main scan of an area, the main scan may include reflections from the area at RF range, and receiving typical roughness values of one or more types of water sources. Embodiments may further include: filtering from the main scan undesired water source types according to their typical roughness values, identifying a desired type of water source in the filtered main scan and receiving from the RF radiation sensor a set of scans of the area, each scan of the area includes reflections in the RF range taken prior to the receiving of the main scan. Embodiments may include calculating the underground water content at locations in the area based on the identified first type of water source and the received set of scans.

A security check instrument motion control system includes an FPGA control chip that receives motion instructions, comprising angle, direction, speed and the like, from an upper computer via an upper computer communication module, realizes quick control to a rotation motion module, and controls a motion state of the rotation motion module according to real-time motion information of the rotation motion module detected by a positioning detection module. The motion state includes a motion stop state and a normal rotation state. The FPGA control chip detects the working state of each module in the security check instrument motion control system in real time, and once the security check instrument motion control system has a fault, each module can be subjected to debugging, repairing and maintenance respectively. If the positioning detection module detects that the rotation motion module is abnormal, the FPGA control chip controls the rotation motion module to stop moving.

According to one embodiment, an antenna is configured to irradiate a first electromagnetic wave of a wavelength of 1 mm to 30 mm to a first position in an area in which at least one of a target person or a belonging of the target person is present, and irradiate a second electromagnetic wave of a wavelength of 1 mm to 30 mm to a second position in the area. Processor circuitry is configured to obtain a first reflection intensity of the first electromagnetic wave on the first position, and obtain a second reflection intensity of the second electromagnetic wave on the second position, and determine a degree of danger relating to a possibility that the target person possesses a dangerous article.

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 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.

The invention relates to a device intended for detection of non-authorised objects or substances carried by an individual in a protected access zone, comprising at least two columns defining a channel by which individuals to be checked can transit, windings distributed in the two columns, adapted to emit a magnetic field and adapted to detect the perturbations of the magnetic field caused when an individual travels between the two columns, microwave emitters and receivers arranged in the two columns, and means to analyse the signals to detect the presence of a metallic object carried by an individual to detect the presence of dielectric material carried by the individual transiting via said channel, and to set up the spatial correlations existing between the metallic objects and the dielectric materials detected.

Body-mounted threat detection systems and methods of detecting threats using body-mounted threat detection systems are provided. Threats detected include guns, knives and/or explosives. A body-mounted transmitter directs electromagnetic radiation towards the target and a body-mounted receiver receives electromagnetic radiation returned from the target. The return signal is analyzed and a signal indicative of the presence or absence of a threat is generated.

An automated fire detection system includes a distributed network of standalone sensor units having mulifunctional capability to detect wildfires at their earliest stage. Multiple modes of verification are employed, including thermal imaging, spectral analysis, near infrared and long-wave infrared measurements, measurements of the presence and/or concentration of smoke, and sensing local temperature and humidity and wind speed and direction. A dedicated algorithm receives all data from the network and determines the location of flames from the imaging sensors, combined with the smoke, temperature, humidity, and wind measurements at every dispersed device.

A millimeter wave image based human body foreign object detection method, comprising: acquiring a millimeter wave gray scale image of a human body; according to a pre-determined foreign object imaging characteristic, extracting from the millimeter wave gray scale image a foreign object area image; according to a pre-determined foreign object image recognition algorithm, performing calculations on the foreign object area image, and acquiring a foreign object image from the foreign object area image; displaying the foreign object image as a foreign object detection result. Also provided is a millimeter wave image based human body foreign object detection system.