Abstract: Aspects of the present disclosure include methods, systems, and non-transitory computer readable media that perform the steps of receiving a visual code identifier associated with a transaction of one or more transaction merchandises, receiving a radio frequency identification (RFID) identifier associated with the transaction, analyzing the image, determining at least one of one or more detected merchandises, a number of the one or more detected merchandises, and a price of the one or more detected merchandises based on information in the RFID identifier and the analyzed image, determining a merchandise discrepancy, a number discrepancy, or a price discrepancy, and transmitting, in response to determining the at least one of the merchandise discrepancy, the number discrepancy, or the price discrepancy, an alert.

Abstract: Identifying a person committing a crime in video data captured by a security device. An information request message identifying the video data and a need for information about the video data is received. When the video data is determined suitable for sharing within a geographic network, an access control of the video data is set to allow a client device registered with the geographic network to display the video data. A display control value of the video data is set to direct display of a label with the video data to indicate the need for the information. A rating of usefulness of the information received from the client device is determined and a first value is added to an account associated with the client device based at least in part upon the rating.

Abstract: A distributed system for live traffic monitoring and optimization includes a central computer and a plurality of mobile client devices at different geographical locations. Each mobile client device may run a software application to capture images of its current location and the associated location coordinates of each image and communicate the combined digital data of each location to the central computer. The central computer may collect the digital data of every location from all mobile client devices in that location, continuously updating and processing them to provide the most up-to-date and comprehensive graphical information of any location.

Abstract: A method for detecting comparison persons 7 to a search person 4, wherein a plurality of classification persons 3 is classified by extracting values W1,W2,W3 for classification features K1,K2,K3 from classification images 2 of the classification persons 3, the classification being ambiguous in such a way that the classification does not enable a unique identification of any of the classification persons 3, wherein during a search for a search person 4 using a search image 5 by a comparison of values of search features from the search image 5 with values W1,W2,W3 of classification features K1,K2,K3, at least two classification persons 3 are output as comparison persons 7.

Abstract: The present disclosure discloses a dual-processor electronic apparatus operation method used in a dual-processor electronic apparatus that includes steps outlined below. A first processor is activated in an initialization procedure. A second processor is activated by the first processor to enter an operation mode. The first processor is deactivated in the operation mode, and the second processor executes a predetermined procedure. Whether a predetermined event occurs during the execution of the predetermined procedure is determined by the second processor such that event information is stored when the predetermined event occurs and the first processor is activated. The event information is accessed and processed by the first processor.

Abstract: A method, performed by an observer node, of securing a network, includes: receiving a signal over the network; determining, based on a frequency characteristic of the received signal, which is determined according to a physical characteristic of a node, which transmits the received signal, a node, which has transmitted the received signal among a plurality of nodes included in the network; comparing a pre-learned signal pattern of the determined transmission node with a pattern of the received signal to determine whether the determined transmission node is a malicious node; and blocking the signal transmitted from the malicious node by determining that the transmission node is a malicious node.

Abstract: Cloud storage provides accessible interfaces, near-instant elasticity, scalability, multi-tenancy, and metered resources in a distributed framework providing fault tolerant solutions with high data durability. Stored data may have legal or compliance requirements defining retention periods ensuring the data is preserved without modification for a period of time. However, data privacy rules such as the European Union's General Data Protection Regulation can require modification or destruction of records at any point. Further, many retention structures are user driven but users make mistakes requiring a change to the record's associated retention period. Retention period mechanism enforced with immutable storage can satisfy compliance requirements but run contrary to data privacy rules as well as blocking adjustments.

Abstract: Methods for mapping safe and traversable routes for robot vehicles comprise using a deviation to create an operating range threshold that is to be included in a stored path and used by a robot vehicle as a threshold for normal operating conditions when the robot vehicle traverses a safe and traversable route. Methods for responding to unsafe conditions detected by a robot vehicle during operations comprise executing a contingency plan when a variance exceeds an operating delta and does not exceed an intervention delta. Methods for responding to anomalous conditions encountered by a robot vehicle comprise contacting a human controller when a variance exceeds an operating delta and an intervention delta.

Abstract: A disclosed example to operate a mobile camera includes recognizing a first feature in first sensor data in response to the first feature being detected in the first sensor data; transitioning the mobile camera from a first feature detection state to a second feature detection state in response to the recognizing of the first feature, the mobile camera to operate using higher power consumption in second feature detection state than in the first feature detection state; recognizing a second feature in second sensor data in the second feature detection state; and sending to an external device at least one of first metadata corresponding to the first feature or second metadata corresponding to the second feature.

Abstract: Aspects discussed herein relate to systems, apparatuses, and methods for providing content distribution via a breadth-first approach for peer-to-peer file sharing in a temporary ad hoc mesh network. For example, a peer-to-peer orchestrator may receive requests for the same asset from multiple mobile devices, determine which of the mobile devices are likely to travel along the same route at the same time, group them together and cause transmission of different asset parts of the requested asset to different mobile devices in the group. If the mobile devices in the group lose connection with the peer-to-peer orchestrator, they may form an ad hoc mesh network and retrieve asset parts from one another. If the group reconnects with a peer-to-peer orchestrator, additional asset parts of the asset may be transmitted to the group and the process may repeat so that each mobile device may obtain each of the asset parts.

Abstract: Methods and apparatus for applying data analytics such as deep learning algorithms to sensor data. In one embodiment, an electronic device such as a camera apparatus including a deep learning accelerator (DLA) communicative with an image sensor is disclosed, the camera apparatus configured to evaluate unprocessed sensor data from the image sensor using the DLA. In one variant, the camera apparatus provides sensor data directly to the DLA, bypassing image signal processing in order to improve the effectiveness the DLA, obtain DLA results more quickly than using conventional methods, and further allow the camera apparatus to conserve power.

Abstract: A device may be configured to render at least one spatial region of 360-degree media content, which may include two or more spatial regions. The device may include a receiver configured to receive the 360-degree media content and metadata associated with the 360-degree content. The metadata may include a classification of a respective spatial region of the 360-degree media content. The device may further include a memory configured to store a user preference and a sensor configured to detect a user movement. The device may include a processor configured to determine that the user movement is associated with a rendering of the respective spatial region. The processor may further determine whether the classification complies with the user preference and alter the rendering of the respective spatial region if the classification violates the user preference.

Abstract: A secure dispensing unit includes a housing comprising a first end and a second end and a number of storage assemblies. The number of storage assemblies are arranged in parallel with one another within the housing. Each storage assembly includes a number of compartments arranged linearly along an axis of the housing with each of the compartments being configured to store an item. A cover is coupled with the housing and extends between the first end and the second end such that the cover is positioned over the compartments. An actuator is coupled with the cover, the actuator being configured to retract the cover to draw a distal end of the cover from the first end toward the second end to expose a selected number of compartments.

Abstract: In some embodiments, an apparatus includes a memory and a processor. The processor is configured to receive an intent command from a control device. The processor is configured to identify, based on the intent command, a first portion of an image captured by a first image capture device and to identify, using video analytics, a second portion of the image captured by the first image capture device. The second portion is included in an image captured by a second image capture device at a first time. The processor is configured to calculate an offset between the first portion and the second portion using the image captured by the first image capture device. The processor is configured to send a signal to adjust using the offset the second image capture device to capture an image including the first portion at a second time after the first time.

Abstract: Techniques for low power gunshot sensor testing are disclosed. An acoustic generator and an infrared generator are disposed in a housing. The housing encompasses the acoustic generator and the infrared generator. The housing covers the gunshot sensor. The acoustic generator and the infrared generator are used for testing a gunshot sensor. The infrared generator and the acoustic generator are coupled to an activation circuit. A switch is coupled to the acoustic generator and the infrared generator. The switch provides activation control of the acoustic generator and the infrared generator. The infrared generator includes a light source operating in the near-infrared (NIR) band. The light source operating in the NIR band provides testing for a gunshot muzzle flash sensor. The infrared generator includes a light source operating in the mid-infrared (MIR) band. The light source operating in the MIR band provides testing for a passive infrared (PIR) sensor.

Abstract: A method is performed at a client device with a display screen, processor(s), and memory storing program(s) for execution by the processor(s). The method comprises obtaining alert events from smart devices at a physical location. The smart devices include a camera located at or in proximity to the physical location. The method further comprises displaying in a scrollable list a chronological sequence of camera event items. Each of the camera event items includes a thumbnail image, a time of the alert event, and one or more activity alert indicators corresponding to predefined activity alert types. The method further comprises receiving a user selection of a first thumbnail image corresponding to a first one of the camera event items, and responsive to the user selection, enabling playback of a video of a first alert event in a video player interface while maintaining display of the scrollable list.

Abstract: Techniques for automatically detecting objects left behind. An example method includes receiving video frames of a scene from a three-dimensional (3D) camera and establishing, based on 3D depths associated with the video frames, a background of the scene. The method also includes detecting, in the frames, a foreground blob in the scene based on the foreground blob having a 3D depth that is different from the background. The method further includes detecting that the foreground blob has separated into a blob corresponding to a person and a second blob corresponding to an object, based on the person having a 3D depth that is different from the object. The method additionally includes determining that the person has been separated from the object for a threshold, and responsive to determining that the person has been separated from the object for the threshold, generating an alert indicating that the object is left behind.

Abstract: A system and method for controlling surveillance cameras is enclosed. In the system, a surveillance camera system includes surveillance cameras configured as VoIP server endpoints. The surveillance cameras receive messages from client devices such as mobile user devices and computer workstations functioning as VoIP client endpoints. The client devices establish a voice communications channel with the surveillance cameras for receiving and controlling one or more streams of image data sent by the surveillance camera over the voice communications channel to the client device. In a preferred embodiment, the voice communications channel includes a control session based on Session Information Protocol (SIP) and a data channel that is based on Real time transfer protocol (RTP). The data channel preferably operates in half duplex mode, which limits the potential for collisions on the data channel when the surveillance cameras are transmitting their image data to the client devices.

Abstract: Examples are disclosed that relate to processing files between a local network and a cloud computing service. One example provides a computing device configured to be located between a local network and a cloud computing service, comprising a logic machine and a storage machine comprising instructions executable to receive, from a device within the local network, a file at a local share of the computing device, and in response to receiving the file, generate a file event indicating receipt of the file at the local share and provide the file event to a virtual machine executing on the computing device. The instructions are further executable to, based upon a property of the file, provide the file to a program operating within a container in the virtual machine to process the file, and send a result of executing the program on the file to the cloud computing service.

Abstract: Geographic proximity and network congestion are used to determine efficient routing of data in networks. If two devices are geographically close, then device-to-device communication may be possible. Data may thus be routed using device-to-device communication, which avoids consuming bandwidth in wide area networks and in cellular networks.

Abstract: A load handling module for a material handling vehicle can include a first camera configured to determine the position of an object in a first camera field of view, and a second camera positioned above the first camera and configured to determine the position of an object in a second camera field of view. A fork tip sensor can be secured to at least one fork proximate the tip end thereof, and can be configured to detect the presence of an object within a fork sensor field of view extending in front of the fork. A controller can be in communication with the first sensor, the second sensor, and the fork tip sensor, the controller being configured to autonomously control the material handling vehicle to pick up or drop-off a load.

Abstract: Provided is a data stream allocation system capable of suppressing inequality in processing loads on a plurality of servers and delays in analysis processing at the servers when the servers analyze the objects of analysis using data streams obtained from a plurality of camera systems. The allocation determination unit 4 allocates data streams obtained from a plurality of camera systems to a plurality of servers according to the unevenness in the number of objects in the surveillance region. Then, the distribution unit 5, in accordance with the results of the allocation of the data streams to the plurality of servers, distributes each of the data streams obtained from the camera systems to the server to which the data stream has been allocated.

Abstract: A system for a lane keeping feature of a vehicle is provided. The lane keeping feature has a predefined safety requirement criterion for keeping the vehicle within bounds while the lane keeping feature is active. The system comprises a road estimation module and a trajectory planning module. The road estimation module is configured to receive sensor data comprising information about a surrounding environment of the vehicle, and to determine a drivable area based on the sensor data. The drivable area comprises a left boundary and a right boundary extending along a direction of travel of the vehicle, wherein each boundary comprises a plurality of points distributed along each boundary, each point being associated with a confidence level. The trajectory planning module is configured to receive the determined drivable area, and to determine a nominal trajectory for the vehicle based on the received drivable area.

Abstract: An automatic display system for a gaze area has a video input unit, an object detection unit and a gaze area setting unit that sets an area containing a part or the whole of the object detected by the object detection unit, or a predetermined area in the entire video as the gaze area. A control signal corresponding to the set gaze area information is received, and a gaze area acquisition unit acquires the gaze area from the entire video according to the control signal. A video output unit outputs a video of the acquired gaze area. The video input unit, a control signal receiving unit, and the gaze area acquisition unit are disposed in the input terminal; the gaze area setting unit and the video output unit are disposed in the output terminal; and information is transmitted between the input terminal and the output terminal by wireless communication.

Abstract: Systems and methods for an intelligent camera system are provided. A method includes receiving, from a first camera in a vehicle, view data corresponding to an area from a vantage point of the vehicle. The method further includes detecting a region of interest from the view data provided by the first camera. The method also includes providing the region of interest to a second camera in the vehicle. The method further includes receiving, from the second camera, zoom view data corresponding to a zoom view of the region of interest.

Abstract: A system and method for correcting short term irradiance prediction for control of a photovoltaic power station includes an irradiance data manager that generates an observed irradiance curve based on irradiance measurements received from an irradiation sensor, and a reference curve generation engine that generates a reference curve representative of irradiance values for a clear sky day. An irradiance prediction engine generates an irradiance prediction curve based on image segmentation and motion filtering of cloud pixels in sky images. A prediction correction engine corrects the irradiance prediction curve within a short term future time interval based on probabilistic analysis of time segmented intervals of the observed irradiance curve, the reference curve, and the irradiance prediction curve.

Abstract: A computing system obtains a video feed. For a frame of the video feed, the computing system analyzes the frame to determine whether the frame includes a potential instance of an event. In accordance with a determination that the frame includes the potential instance of an event, the computing system determines for the event an event category from a plurality of predefined event categories. It stores an indication of the event category. It determines whether the event category matches a predefined notification filter definition. In accordance with a determination that the event category matches the predefined notification filter definition, the computing system issues an alert notification to a user client device. In accordance with a determination that the event category does not match the predefined notification filter definition, the computing system refrains from issuing the alert notification.

Abstract: A system for stitching images together is disclosed. The images are sometimes referred to as frames, such as frames in a video sequence. The system comprises one or more imagers (e.g. cameras) that work in coordination with a matching amount of custom code modules. The system achieves image stitching using approximately one third the Field of View (FOV) of each imager (camera) and also by increasing the number of imagers to be above a predetermined threshold. The system displays these stitched images or frames on a computer monitor, either in a still-image context but also in a video-context. Normally these tasks would involve a great detail of computation, but the system achieves these effects while managing the computational load. In stitching the images together, it is sometimes necessary to introduce some image distortion (faceting) in the combined image. The system ensures no gaps in any captured view, and assists in achieving full situational awareness for a viewer.

Abstract: In one or more embodiments described herein, device, computer-implemented methods, and/or computer program products that facilitate automated survey results generation from an image are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an image capturing component that captures a first sample image. The computer executable components can further comprise an image processing component that processes the first sample image to determine a survey count, wherein the survey count indicates a number of times a survey image was identified in the first sample image. The computer executable components can further comprise an authentication component that adjusts the survey count based on detection of a discrepancy.

Abstract: Temporarily suppressing and/or disabling notifications to a client device of events detected by a security device monitoring an environment. The notifications may be disabled and/or suppressed based upon a request from a user of the client device, or when the client device is nearby the security device. The user may request that notifications are suppressed for a definable suppression duration, wherein a timer is started to run for the suppression duration, and notifications are suppressed while the timer is running. When the client device is nearby the security device, suppression of the notifications for other users may be defined by a user-configurable table. A notification from a security device may include a suppress button to suppress notifications from that security device for a suppression period.

Abstract: The present disclosure provides a method for controlling a drone, a drone, and a system. The method for controlling a drone comprises: determining operating parameters of a moving platform according to field-of-view images containing the moving platform collected at any two different moments and flight parameters of the drone; calculating a time-varying tracking position of the moving platform based on the operating parameters; controlling the drone to track the moving platform according to the time-varying tracking position of the moving platform; and controlling the drone to perform a landing operation according to a relative position of the moving platform and the drone during tracking. The technical solutions according to the present disclosure have high landing accuracy, rely less on device performance and have high versatility.

Abstract: Use of multiple sensors to determine whether motion of an object is occurring in an area is described. In one aspect, an infrared (IR) sensor can be supplemented with a radar sensor to determine whether the determined motion of an object is not a false positive.

Abstract: Various embodiments of the present disclosure increase the technical utility of a recording device and local recording device system by enabling a recording device to use a machine learning model to process media content received from a separate recording device. This allows a machine learning model to be used to process media content at a local system without a remote network connection or independent of whether a remote computing system is available over a network connection. Many embodiments eliminate the need for a separate computing device altogether for purposes of using a machine learning model. Embodiments of the present disclosure also decrease the time required to complete processing of a media file by processing the media file in parallel among multiple recording devices and/or by eliminating time associated with uploading a media file to cloud-based system and receiving one or more output values back from the cloud-based system.

Abstract: Systems and methods are described for translating a non-playback command into a playback modification to encourage a recipient of the command to execute on the command. A media guidance application may determine a command from a first user to a second user. The media guidance application may compare the command to a set of playback operation commands for a media asset that is currently being played back. The media guidance application may determine that the command is not contained within the set of playback operation commands. In response to determining that the command is not contained within the set of commands, the media guidance application may determine whether the second user executes a desired outcome of the command. And in response to determining that the second user does not execute the desired outcome of the command, the media guidance application may determine whether to modify playback of the media asset.

Abstract: A two-way signal positioning method and a two-way signal positioning system thereof are disclosed. The method includes the following steps: controlling a locating device to be measured to transmit a plurality of positioning signals of a plurality of transmission powers; causing a plurality of known locating devices to receive the plurality of positioning signals and return a plurality of response signals to the locating device to be measured; recording the strengths of the plurality of positioning signals, the strengths of the plurality of response signals, the plurality of corresponding receiving times and the coordinates of the plurality of known locating devices to a database; identifying the known locating devices corresponding to the stronger signals; and obtaining a signal strength-distance function and a signal strength-distance standard deviation function from the database so as to identify the device location of the locating device to be measured.

Abstract: The disclosed embodiments provide systems and methods for predicting presence of one or more neurological deficits. The system may include a microphone, a camera, one or more memory devices storing instructions, and one or more processors configured to execute the instructions to extract audio information including a period density entropy coefficient and a mel frequency cepstral coefficient from an audio feed received from the microphone. Additionally, the instructions may cause the processor to determine position and depth information of eye movement from a video feed received from the camera and detect features of interest including facial landmarks, spatial orientation of limbs, and positional information of limb movements from the video feed. The one or more processors may further extract the features of interest from the video feed and process the extracted features of interest by aligning the extracted features of interest to a common reference.

Abstract: Method and control unit for reducing a blind spot created by a field of view adjustment of a vehicle comprised presentational device intended to display objects outside a driver's direct field of vision. The method comprises: detecting the blind spot of the presentational device, based on signals received from at least one first sensor associated with the presentational device; adjusting at least one second sensor, not associated with the presentational device, in order to cover at least a part of the detected blind spot; and outputting information captured by the adjusted at least one second sensor.

Abstract: An event detection method is for detecting if an event being predetermined exists in a detected environment, in which a first wireless unit, at least one second wireless unit wirelessly communicating with the first wireless unit, and at least one cooperating detection device are disposed. The event detection method includes a live CSI data obtaining step, a live CSI data reducing step, a cooperating data obtaining step and an event determining step. The live CSI data reducing step includes reducing a size of a plurality of live CSI data to generate a plurality of preprocessed live CSI data. The event determining step includes inputting the preprocessed live CSI data to an event classifier and processing a plurality of cooperating data to determine if the event exists.

Abstract: An induction-powered camera may be capable of being installed external to a building without any building alterations. The induction-powered camera may include a continuous power source. The induction-powered camera may transmit one or more images to a control panel associated with security and/or automation systems. The induction-powered camera may be movable and/or removable with undue burden. In one example, an apparatus for a security and/or automation system is described. The apparatus may include a first half of the apparatus and an electricity transmission unit positioned within the first half. An electricity receiving unit may be positioned a predetermined distance away from the electricity transmission unit. The electricity receiving unit proximate a second half of the apparatus and a camera may be proximate the second half of the apparatus, the camera powered by the electricity receiving unit.

Abstract: A system and method for acquiring video content using a gun camera secured to a weapon is provided. One embodiment comprises a processor system; a camera communicatively coupled to the processor system; a wireless transceiver communicatively coupled to the processor system; and at least one sensor configured to detect an interior surface of the holster, wherein the sensor communicates a signal to the processor that indicates that the gun camera and the weapon are not secured within the holster in response to no longer detecting the interior surface of the holster, and wherein the processor system activates the camera to acquire video content in response to receiving the signal from the at least one detector that indicates that the weapon has been drawn from the holster.

Abstract: This technology includes methods, non-transitory computer readable media, and pattern navigation aiding devices that obtain one or more images of a section of sky. Stars comprising at least one or more artificial stars in the one or more obtained images of the section of the sky that are in an image pattern that match above a set threshold at least one previously shared beacon pattern are identified. Navigational information from the identified image pattern with the at least one or more artificial stars that matches above the set threshold the at least one previously shared beacon pattern is determined and output to provide navigational assistance.

Abstract: In a monitoring system, the management device causes a display device to display an image generated by capturing by the camera whose direction has been controlled; accepts designation of at least one tracking target, the at least one tracking target being designated from among moving objects in the displayed image by an operator; and performs tracking control comprising controlling a photographing range of the camera in such a way that the designated at least one tracking target is kept captured by the camera.

Abstract: A method for interactive image caricaturing by an electronic device is described. The method includes detecting at least one feature location of an image. The method further includes generating, based on the at least one feature location, an image mesh that comprises a grid of at least one horizontal line and at least one vertical line. The method additionally includes obtaining a gesture input. The method also includes determining at least one caricature action based on the at least one gesture input. The method further includes generating a caricature image based on the image mesh, the at least one caricature action and the image.

Abstract: A security system including a detection device, an imaging device and a controller. The detection device being a detection device through which people traverse. The detection device producing a signal representative of at least one of an object being carried by a person and a distribution of metal carried by the person. The imaging device produces an image of the person. The controller executing the steps of determining whether the signal from the detection device exceeds a predetermined value; instructing the imaging device to capture an image of the person if the determining step indicates that the signal exceeds the predetermined value thereby creating a captured image; transmitting the captured image to selected data devices assigned to trusted individuals; and receiving a response from at least one of the data devices, the response indicating an action to be taken regarding the person.

Abstract: A power management system for a lighting circuit may include a grid shifting controller that includes a processor and a connection to an external power source. The power management system may also include a communication interface associated with the grid shifting controller. The grid shifting controller may be configured to provide control information to a processor of at least one grid shifting electrical fixture over the communication interface, the control information being configured to direct the at least one grid shifting electrical fixture on the use of power from the external power source and an energy storage device associated with the at least one grid shifting electrical fixture.

Abstract: A system for holding a camera for acquiring images of preparations includes a rail that can be mounted above a preparation surface. A camera carrier couples a camera with the rail such that the camera is movable relative to the rail and such that the camera can acquire images of preparations on the preparation surface.

Abstract: A storage medium stores correction data for obtaining a correction amount for correcting image data, obtained from an image formed by a lens apparatus, with respect to a distribution of a light amount in the image, wherein the correction data includes a coefficient of an n-th order polynomial (where n is a non-negative integer) with respect to an image height h, the coefficient corresponding to a state of the lens apparatus. The coefficient satisfies a first inequality ?0.15?dD?(h)?dDlens(h)?1.98, where dDlens(h) represents a change amount of the light amount at the image height h per an increase amount dh of the image height h, and dD?(h) represents a change amount of an inverse of a value of the n-th order polynomial at the image height h per the increase amount dh.

Abstract: A depth acquisition device includes a memory and a processor. The processor performs; acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring an infrared light image stored in the memory, the infrared light image being generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring a visible light image stored in the memory, the visible light image being generated by imaging a substantially same scene as that of the infrared light image, with visible light from a substantially same viewpoint and at a substantially same imaging time of those of the infrared light image; detecting a dust region showing dust from the infrared light image; and estimating a depth of the dust region based on the infrared light image, the visible light image, and the dust region.

Abstract: Methods and systems are described which relate to the assistance or guidance of a user in the detection of an element in an area. A search assistant for searching for an element in an area may include a direction changer for changing the direction of emission of a visible signal on the basis of detected relative data of an element sought in the area, the relative data detected by at least one sensor such as an audio sensor or a video sensor. Such a search assistant may use a simple visible signal for guidance toward the element sought in the area. The technology used may be easy to implement, cheap and readily accessible, allowing guidance precision that depends solely on the precision of the known or detected location of the sought object.

Abstract: Systems and methods that allow a smartphone to be used as an imaging device for undercarriage inspection of a moving vehicle are provided. The method may include locating the smartphone on the ground via one or more sensors of the vehicle. The vehicle may generate a path for the vehicle to drive over the smartphone based on the location of the smartphone, and optionally display the path to facilitate manual driving of the vehicle by the driver over the smartphone. Alternatively, the vehicle may self-drive to follow the path. The smartphone may capture image data indicative of the undercarriage of the vehicle, inspect and analyze the image data to identify one or more issues of the undercarriage of the vehicle, and transmit the analyzed image data to the vehicle for display. The driver may confirm the one or more issues and transmit the data to an inspection professional for additional assistance if needed.