Abstract: A method of adapting a display comprises receiving a sequence of a plurality of facial images of a face of at least one user located in front of a display; analyzing the plurality of facial images to detect a hand to face gesture of the user; and updating, according to the hand to face gesture, a dataset documenting a plurality of facial touch event frequencies of a plurality of facial touch events in a plurality of facial locations. Each of the plurality of facial touch events is prompted by one of a plurality of previously captured hand to face gestures of the user. The method further comprises, based on the plurality of facial touch event frequencies, generating a presentation on the display. In response to detection of an impending facial touch, a destruction event may be depicted. A presentation may be also generated showing scoring of multiple persons.

Abstract: A method of authenticating physical activity in a monitored space, comprising: obtaining monitored space activity data from at least one activity detector deployed in the monitored space to capture simultaneously physical activity of a plurality of moving objects in said monitored space; analyzing said monitored space activity data to identify a plurality of spatiotemporal movement patterns in said monitored space; obtaining a plurality of inertial data patterns from each one of a plurality of applications executed in a plurality of mobile devices, each one of said inertial data patterns is recorded using an inertial sensing device installed in one of said plurality of mobile devices, each one of said plurality of mobile devices is associated with one of a plurality of persons; identifying at least one correlation between at least one of said plurality of inertial data patterns and at least one of said plurality of spatiotemporal movement patterns; authenticating said physical activity according to said at le

Abstract: A system for processing digital images comprising: at least one remote hardware processor; and at least one device, comprising at least one processing circuitry configured for: receiving from at least one image sensor, electrically coupled to the processing circuitry, at least one digital image captured by the at least one image sensor; partitioning at least one object, identified in the at least one digital image, into a plurality of object segments; replacing in the at least one digital image each of the plurality of object segments with a schematic segment, illustrating respective object segment, to produce at least one schematic image; and sending the at least one schematic image to the remote hardware processor; wherein the remote hardware processor is adapted to: receiving the at least one schematic image from the at least one device; analyzing the at least one schematic image to identify at least one behavioral pattern.

Abstract: Provided herein are methods, systems and computer program products for detecting tampering, comprising a sealing process and a seal verification process. The sealing process comprising analyzing a seal applied to seal an object as a tamper evident element, recording one or more manufacturing defects of the seal identified based on the analysis, each of the one or more manufacturing defects comprising one or more non-reproducible deviations from seal generation instructions used to produce the seal, and generating a signature comprising the one or more manufacturing defects. The seal verification process comprising obtaining the signature, analyzing the seal sealing the object, and determining whether the object is tampered based on a comparison between the analyzed seal and the signature.

Abstract: Provided herein are methods and systems for detecting counterfeit of a personal object, comprising, analyzing one or more images depicting a personal object to identify one or more wearing marks in the personal object induced by one or more wearing conditions, generating a wearing pattern comprising the one or more wearing marks, comparing between the wearing pattern and one or more previous wearing patterns created for the personal object based on past images of the personal object, and determining whether the personal object is genuine or counterfeit based on the comparison.

Abstract: Presented herein are systems and methods for detecting a boundary line crossing based on Round Trip Time (RTT) measured for wireless signals transmitted between and initiator wireless transceiver and a responder wireless transceiver deployed to form a straight boundary line. The initiator wireless transceiver transmits wireless probe signal(s) to the responder wireless transceiver, receives a wireless response signal transmitted by the responder wireless transceiver in response to the wireless probe signal(s), calculates an RTT combining a travel time of the wireless probe signal(s) and the travel time of the wireless response signal(s), compares the RTT to a reference RTT computed for a wireless probe signal and a corresponding wireless response signal transmitted in a clear straight transmission path while the boundary line is clear of obstacles and determines whether an object is blocking the straight transmission path based on a deviation of the RTT from the reference RTT.

Abstract: A method for authenticating communication between an industrial control device and an external control system, comprising: storing, by a key storing module, an authentication key coupled to a matching key of an external control system; calculating, by a processor, an authenticity indication of communication between an industrial control device and the external control system using the authentication key; providing, by a connection module, the authenticity indication to the industrial control device via an input and output (I/O) port of the industrial control device, the connection module is physically and electronically connected to the I/O port.

Abstract: A system for detecting malicious software, comprising at least one hardware processor adapted to: execute a tested software object in a plurality of computing environments each configured according to a different hardware and software configuration; monitor a plurality of computer actions performed in each of the plurality of computing environments when executing the tested software object; identify at least one difference between the plurality of computer actions performed in a first of the plurality of computing environments and the plurality of computer actions performed in a second of the plurality of computing environments; and instruct a presentation of an indication of the identified at least one difference on a hardware presentation unit.

Abstract: A monitoring system, comprising: at least one device, comprising at least one processing circuitry configured for: receiving from at least one image sensor connected to the at least one processing circuitry, at least one digital image captured by the at least one image sensor; identifying a nature of at least one relationship between at least one first body part of at least one first person and at least one second body part of at least one second person, where the at least one first person and the at least one second person are identified in the at least one digital image; identifying at least one offending relationship according to the nature of the at least one relationship and a set of relationship rules; and outputting an indication of the at least one offending relationship.

Abstract: A system for detecting malicious software, comprising at least one hardware processor adapted to: execute a tested software object in a plurality of computing environments each configured according to a different hardware and software configuration; monitor a plurality of computer actions performed in each of the plurality of computing environments when executing the tested software object; identify at least one difference between the plurality of computer actions performed in a first of the plurality of computing environments and the plurality of computer actions performed in a second of the plurality of computing environments; and instruct a presentation of an indication of the identified at least one difference on a hardware presentation unit.

Abstract: According to an aspect of some embodiments of the present invention there is provided a system for imaging of objects in a scene. The system contains a hardware processor, or multiple hardware processors, which execute(s) code for: receiving, from a first sensor, image or images depicting an object or objects, where the object(s) include(s) an autonomous navigation system that controls a course of the object(s) in space, predicting a spatiotemporal profile of the object(s) within the image(s), and generating instructions for execution by a second sensor for capturing an image of the object(s) at a time and location corresponding to the spatiotemporal profile.

Abstract: Presented herein are systems and methods for detecting a boundary line crossing based on Round Trip Time (RTT) measured for wireless signals transmitted between and initiator wireless transceiver and a responder wireless transceiver deployed to form a straight boundary line. The initiator wireless transceiver transmits wireless probe signal(s) to the responder wireless transceiver, receives a wireless response signal transmitted by the responder wireless transceiver in response to the wireless probe signal(s), calculates an RTT combining a travel time of the wireless probe signal(s) and the travel time of the wireless response signal(s), compares the RTT to a reference RTT computed for a wireless probe signal and a corresponding wireless response signal transmitted in a clear straight transmission path while the boundary line is clear of obstacles and determines whether an object is blocking the straight transmission path based on a deviation of the RTT from the reference RTT.

Abstract: A system for processing digital images comprising: at least one remote hardware processor; and at least one device, comprising at least one processing circuitry configured for: receiving from at least one image sensor, electrically coupled to the processing circuitry, at least one digital image captured by the at least one image sensor; partitioning at least one object, identified in the at least one digital image, into a plurality of object segments; replacing in the at least one digital image each of the plurality of object segments with a schematic segment, illustrating respective object segment, to produce at least one schematic image; and sending the at least one schematic image to the remote hardware processor; wherein the remote hardware processor is adapted to: receiving the at least one schematic image from the at least one device; analyzing the at least one schematic image to identify at least one behavioral pattern.

Abstract: There is provided a medical imaging processing device, comprising: at least one hardware processor executing a code for: iteratively generating instructions for iterative adjustment of presentation parameter(s) of a 2D frame of the 3D anatomical image presented on the display, for creating a sequence of adapted 2D frames of the 3D anatomical image, the instructions transmitted from the medical imaging processing device to a physical input interface of at least one of the client terminal and display, for each respective 2D frame: capturing the respective 2D frame from video signals transmitted from the client terminal to the display, analyzing the respective captured 2D frame for extraction of a 2D anatomical image, analyzing the respective captured 2D frame to identify metadata element(s), converting the metadata element(s) into converted metadata value(s), and formatting the extracted 2D anatomical images and associated converted metadata values for reconstruction of the 3D anatomical image.

Abstract: Methods and systems fort operating one or more light sources to project adversarial patterns generated to disorient a machine learning based detection system, comprising generating one or more adversarial patterns configured to disorient the machine learning based detection system and operating one or more light sources configured to project one or more of the adversarial pattern(s) in association with the targeted object in order to disorient the machine learning based detection system.

Abstract: A computer implemented method of correlating between detected access events to access client terminals in a monitored location and physical activity of people in the monitored location, comprising detecting one or more access events to access one or more of a plurality of client terminals located in a monitored location and operatively connected to a first network, obtaining sensory activity data from one or more activity detectors deployed in the monitored location to capture physical activity of people in the monitored location wherein the activity detector(s) are operatively connected to a second interconnection isolated from the first network, analyzing the sensory activity data to identify a spatiotemporal activity pattern of one or more persons in the monitored location, correlating between the access event(s) and the spatiotemporal activity pattern(s) to validate the access event(s) and initiating one or more actions according to the validation.

Abstract: An apparatus for discreet imaging of a scene, comprising: at least one short wave infrared (SWIR) sensor that captures at least one SWIR image of the scene at a SWIR wavelength range, at least one SWIR illumination element that generates SWIR illumination at the SWIR wavelength range, and a barrier positioned such that SWIR illumination reflecting off objects of scene within the field of view passes through the barrier to reach the at least one SWIR sensor, the barrier made out of a material and having a thickness selected for being opaque to visible light and non-opaque to the SWIR wavelength range.

Abstract: A computing device comprises a network element configured for receiving messages sent over a network from a control facility, a reduced instruction set computer processing circuitry comprising a central processing unit (CPU) and a secure hardware-implemented module adapted to verify that a signed PKI message is encoded in the received messages at a plurality of sequential intervals and to either switch the CPU from an operational state to a safe state, or prevent switching of the CPU from the safe state to the operational state, when a receipt of a signed PKI message is not verified in one of the sequential intervals. In the operational state, the CPU accesses a memory address space in the processing circuitry for executing software-based commands. In the safe state the CPU is prevented from executing the software-based commands while access to the memory address space is retained.

Abstract: A system for estimating a plurality of device poses in a space, comprising: at least one device, comprising at least one hardware processor connected to at least one sensor and adapted to: in at least one of a plurality of iterations: using at least one model to compute a first estimated device pose in a first identified region of the space in response to at least one input signal captured by the at least one sensor, where the at least one model is one of a plurality of region specific models, each trained to compute an estimated device pose in one of a plurality of regions of the space; providing the first estimated device pose to at least one software object executed by the at least one hardware processor to perform a pose-oriented task; receiving at least one other model trained to compute another estimated device pose in a second.

Abstract: A computer implemented method of correlating between detected usage events indicative of using client terminals and an operational state of physical interfaces of the client terminals, comprising monitoring a network in a monitored location to detect one or more usage events indicating of a usage of one or more of a plurality of client terminals operatively connected to the network, obtaining sensory data from one or more interface monitoring sensors having a fixed operation which is unmodifiable after deployed to capture an operational state of one or more physical interfaces of the client terminal(s), analyzing the sensory data to identify the operational state of the physical interface(s), correlating between the usage event(s) and the identified operational state to validate the usage event(s) and initiating one or more action according to the validation.