Abstract: A method of radar detection of targets in an environment, comprising cyclically obtaining a detection profile that associates with each position in the protected area an amount of radar signal that has been reflected, and detecting targets from the detection profile in different modes. A base mode is used for a first series of cycles and is insensitive to motionless targets and sensitive to dynamic targets that move between different locations in the protected area. When the base mode detects a target, two additional modes are started, which are active in different areas. In first areas, a fine movement detection mode is used, which also neglects motionless targets and may be more sensitive than the base mode. In second areas, a presence mode detects both dynamic and motionless targets. When neither the presence mode nor the fine movement mode detects any target for a sufficient time, no people in danger are deemed to be present in the area and the base mode may be restored.

Abstract: A method of radar detection of targets in a region of interest, comprises storing boundaries of the region of interest, represented in a world reference system of coordinates. A camera fixed to the radar sensor captures an image of the environment, where a calibration object like a chessboard is identified, and based on its position in the captured image, the position and orientation of the radar sensor are determined in the world reference system. The environment is scanned, to determine target positions in a radar reference system of coordinates, centered in the radar sensor. Based on this, the target positions are transferred from the radar reference system to the world reference system, and are compared with the stored boundaries of the region of interest.

Abstract: A radar sensor scans an environment to identify, for each target, a candidate target volume. A camera, fixed to the radar sensor, captures an image of the environment, and runs an image recognition algorithm to identify target boundaries for each target. The radar sensor determines a refined target volume, by selecting and keeping a first part of the candidate target volume located inside the target boundaries and removing a second part of the candidate target volume located outside the target boundaries.

Abstract: Herein disclosed is a method for radar detection of a valid target within a monitored zone with disturbing elements passing therethrough, e.g. process scraps of a machine on which the radar system is installed. The method includes transmitting, receiving and processing radar signals to locate and track the movement of a moving potential target. The method discriminates whether the potential target is valid or not, by checking whether the potential target has an initial position within a disturbance zone and whether it is detected for an overall detection time period that is less than the assessment time interval. If a target is not valid, it will be assimilated to background after it stops.

Abstract: 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.

Abstract: A system for detecting objects in an environment, comprising a measuring system and a processing unit in signal communication with the measuring system, wherein: the measuring system comprises macro-components formed of respective subcomponents, wherein the macro-components comprise: a waveform generator configured to provide an electrical signal to be transmitted with a predetermined waveform, transmitting and receiving means configured to transmit a first electromagnetic signal matching the electrical signal to be transmitted and to receive from the environment a second electromagnetic signal generated by a reflection of the first electromagnetic signal, thereby providing a received signal matching the second electromagnetic signal, an analog conditioning circuit configured to provide a baseband electrical signal by baseband converting the received signal, and an analog-to-digital converter configured to provide a digital signal which is a discrete sequence of values obtained by sampling the baseband el

Abstract: Disclosed is a method for detecting tampering of a target detection system, comprising a control unit is in signal communication with a set of present tamper detection sensors, which are associated with a detection member. The method includes setting an overall sensor coordination logic for determining a tamper state of the system based on tamper detection data from a predetermined set of sensors, wherein the set of present sensors is a subset. Then, the control unit controls the operating state of each sensor of the set of present sensors and defines a reduced sensor coordination logic, excluding those sensors of the predetermined set that are missing and/or non-working from the overall logic. Thus, the present and working sensors cyclically acquire tamper detection data, and the control unit determines the tamper state of the system by processing the data acquired based on the reduced logic.

Abstract: A method of radar detection of targets in an environment, comprising cyclically obtaining a detection profile that associates with each position in the protected area an amount of radar signal that has been reflected, and detecting targets from the detection profile in different modes. A base mode is used for a first series of cycles and is insensitive to motionless targets and sensitive to dynamic targets that move between different locations in the protected area. When the base mode detects a target, two additional modes are started, which are active in different areas. In first areas, a fine movement detection mode is used, which also neglects motionless targets and may be more sensitive than the base mode. In second areas, a presence mode detects both dynamic and motionless targets. When neither the presence mode nor the fine movement mode detects any target for a sufficient time, no people in danger are deemed to be present in the area and the base mode may be restored.

Abstract: Herein disclosed is a method for radar detection of a valid target within a monitored zone with disturbing elements passing therethrough, e.g. process scraps of a machine on which the radar system is installed. The method includes transmitting, receiving and processing radar signals to locate and track the movement of a moving potential target. The method discriminates whether the potential target is valid or not, by checking whether the potential target has an initial position within a disturbance zone and whether it is detected for an overall detection time period that is less than the assessment time interval. If a target is not valid, it will be assimilated to background after it stops.

Abstract: A method and a system for radar detection system include, after cyclically generating a detection profile representing signal intensity as a function of position, cyclically analyzing the detection profile by alternating two modes of analysis. The first mode is suitable to detect a target entering the field of view, but may have poor sensitivity to targets that move at a low speed for a long time, such as a person entering a hazardous area and stopping. When this mode detects a target, a second mode is entered, which is more sensitive and suitable to detect the permanence of the target in the field of view, and in particular small movements connected to the vital signs of the target. The second mode may be based, for example, on complex signal deviations for each position with respect to a long-term complex mean value for that position. Only if the second mode does not detect any target for a certain restart time, the field of view is deemed to be clear and the first mode is used again.

Abstract: A method of detecting break-ins in an intrusion-detection barrier which includes an array of sensors in signal communication with one another and connected to a control unit may include: calibrating at least one of the sensors of the array, the calibrating including: applying mechanical stress to the barrier to cause the barrier to resonate at characteristic frequencies; and creating a digital filter, for the at least one of the sensors, configured to identify the characteristic frequencies; and/or detecting external forcing applied to the barrier, the external forcing having oscillation-forcing frequencies, the detecting including: applying the filter to identify the oscillation-forcing frequencies applied to the barrier, and discriminating the oscillation-forcing frequencies from the characteristic frequencies of the barrier; selecting at least one energy threshold value; calculating an energy value for each of the oscillation-forcing frequencies; and comparing each of the energy values with the at least on

Abstract: Disclosed is a method for detecting tampering of a target detection system, comprising a control unit is in signal communication with a set of present tamper detection sensors, which are associated with a detection member. The method includes setting an overall sensor coordination logic for determining a tamper state of the system based on tamper detection data from a predetermined set of sensors, wherein the set of present sensors is a subset. Then, the control unit controls the operating state of each sensor of the set of present sensors and defines a reduced sensor coordination logic, excluding those sensors of the predetermined set that are missing and/or non-working from the overall logic. Thus, the present and working sensors cyclically acquire tamper detection data, and the control unit determines the tamper state of the system by processing the data acquired based on the reduced logic.

Abstract: A system (1) for detecting objects (1) in an environment with self-diagnostic features is disclosed herein. The detection system (1) comprises a measuring system (2) having components for generating a signal to be transmitted, transmitting it into the environment, receiving the reflected signal, analog conditioning such signal and sampling to obtain a digital signal. A processing unit (3), besides carrying out common object detection tasks (4), whereby a position-related signal amplitude profile is obtained from the digital signal, monitors parameters of the raw digital signal and generates alarms indicative of various types of anomalies that affect specific components of the measuring system (2). Preferred ones of these parameters are mean, maximum peak-to-peak amplitude, maximum and minimum values and the number of zero values of the digital signal and the mean of the derivative of the digital signal.

Abstract: Method of detecting break-ins in an intrusion-detection barrier which comprises an array of sensors in signal communication with one another and connected to a control unit; said method comprising the steps of: calibrating at least one sensor of the array, detecting an external forcing having oscillation forcing frequencies applied to the intrusion-detection barrier, generating an alarm signal when the external forcing is detected; the method being characterized in that the step of calibrating comprises the sub-steps of: applying mechanical stress to said intrusion-detection barrier to cause said intrusion-detection barrier to resonate at its characteristic frequencies; creating a digital filter for the sensor configured to identify the characteristic frequencies; the step of detecting comprising the sub-steps of: applying the filter to identify the forcing frequencies applied to the intrusion-detection barrier, selecting at least one energy threshold value, calculating an energy value for each of the forcing