Abstract: There is provided an information processing apparatus including a simulation unit configured to perform simulation with respect to a crowd present in a target region in a real world, and to generate a simulation image that represents the crowd, a data collection unit configured to collect position associated data that is associated with geographical positions of one or more people, and a control unit configured to control the simulation based on the position associated data.

Abstract: An unmanned aerial vehicle (UAV) detecting method is executed and applied in an UAV. The method can include creating a sample features database for a user, and storing the sample features database in a storage device; shooting a plurality of scene images from every direction around the user; capturing a plurality of features of the object from the scene image; comparing the sample features of user with the features of the object, and storing a new feature of the object different from the sample feature of user in the storage device; determining whether a tagger is around the user, and sending an alarm signal to the user.

Abstract: A method for monitoring changes in rangeland includes determining a percent coverage of land cover components in the rangeland, and mapping the land cover components using high resolution imagery. The method further includes linking the mapping to coarser imagery having a larger geographic extent, and interpolating land cover measurements spatially and temporally.

Abstract: A system and method for monitoring vehicle traffic and collecting data indicative of pedestrian right of way violations by vehicles is provided. The system comprises memory and logic for monitoring traffic intersections and recording evidence indicating that vehicles have violated pedestrian right of way. Two sensor modalities collecting video data and radar data of the intersection under observation are employed in one embodiment of the system. The violation evidence can be accessed remotely by a traffic official for issuing of traffic citations.

Abstract: In one embodiment of the present invention, a native resolution analyzer generates a log-magnitude spectrum that elucidates sampling operations that have been performed on a scene. In operation, the native resolution analyzer performs a transform operation of a color component associated with a frame included in the scene to generate a frame spectrum. The native resolution analyzer then normalizes the magnitudes associated with the frame spectrum and logarithmically scales the normalized magnitudes to create a log-magnitude frame spectrum. This two dimensional log-magnitude frame spectrum serves as a frequency signature for the frame. More specifically, patterns in the log-magnitude spectrum reflect re-sampling operations, such as a down-sampling and subsequent up-sampling, that may have been performed on the frame.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a set of video segments that represents a video. A subset of video segments can be selected out of the set of video segments. A list that indicates a playback sequence for the subset of video segments can be generated. Playback of the subset of video segments can be provided based on the playback sequence indicated via the list.

Abstract: A face detection method includes acquiring a video image sequence, performing a video shot boundary detection process on the video image sequence to determine whether a shot change exists in the video image sequence to obtain a first judgment result, and determining, when the first judgment result indicates that a shot change exists in the video image sequence, that face detection has failed. The present disclosure also provides a face detection device, which includes an acquisition unit configured to acquire a video image sequence, a first detection unit configured to perform a video shot boundary detection process on the video image sequence to determine whether a shot change exists in the video image sequence to obtain a first judgment result, and a determination unit configured to determine, when the first judgment result indicates that a shot change exists in the video image sequence, that face detection has failed.

Abstract: A system and method are provided for tracking objects in a scene from a sequence of images captured by an imaging device. The method includes processing the sequence of images to generate sequential images at a plurality of hierarchical levels to generate a set of regions of interest; and, at each of the hierarchical levels: examining pairs of sequential images to link pixels into short tracklets; and grouping short tracklets that indicate similar motion patterns to generate representative tracklets. The representative tracklets are grouped to generate a tracking result for at least one object.

Abstract: A security camera system using a power supply by an electromagnetic induction scheme comprises; a CT core detachably installed on a power transmission and distribution line and producing electric power by the electromagnetic induction scheme and; a power transformer for transforming an AC power generated from the CT core to a DC voltage; a camera module for recording a security video using power supplied by the transformer; a wireless communication module for transmitting an audio and a video data captured by the camera module; and a stabilizer module for correcting the shake of a video when capturing a security video. The security camera system provided with the power supply device as a main power supply thereto generating an electric power by the electromagnetic induction scheme using the current flowing around the power distribution line saves time and cost related to power supply construction so that the productivity may be improved.

Abstract: Disclosed are a system and a method of recognizing a travelled lane of a vehicle, which recognize a currently travelled lane by using an image obtained through a camera of a vehicle or information received from a road system. Further, the system and the method detect whether the vehicle changes a lane by using sensing data of the vehicle, current location information, road map data, and the like, and when it is confirmed that the vehicle changes a lane or enters a new lane, the system and the method make the vehicle immediately recognize a currently travelled lane by combining information about the change of a lane or the new lane with information about the first recognized travelled lane. Accordingly, the present invention may make a vehicle recognize a travelled lane even when it is difficult to recognize a lane by a camera, and rapidly obtain information about the change of a lane and an entry lane, thereby determining a final lane.

Abstract: A traffic sign recognition system includes a display for displaying caution information regarding a traffic sign ahead of a vehicle, and a processor configured to execute a viewing direction detecting module for detecting a viewing direction of a driver, a traffic sign detecting module for detecting the traffic sign, and a viewing condition detecting module for detecting a viewing condition of the traffic sign. The processor controls the display to display the caution information when the detected viewing direction is different from a direction of the detected traffic sign, controls the display to refrain from displaying the caution information when the detected viewing direction is toward the detected traffic sign, and when the viewing condition detecting module detects a low viewing condition of the traffic sign, controls the display to display the caution information even when the detected viewing direction matches the direction of the detected traffic sign.

Abstract: A control system for a vehicle includes a forward-viewing camera and an image processor operable to process image data captured by the forward-viewing camera. The control system is operable to detect a traffic light and to determine a change in state of the traffic light from red to green. The control system determines that another vehicle is ahead of the stopped equipped vehicle at the traffic light, and determines a change in state of the traffic light from red to green. Responsive to (a) a threshold period of time elapsing during which the other vehicle ahead of the equipped vehicle has not moved after the traffic light changes state from red to green and/or (b) the other vehicle ahead of the equipped vehicle moving a threshold distance away from the equipped vehicle, the control system (i) generates an alert and/or (ii) controls a vehicle system of the equipped vehicle.

Abstract: A method and apparatus for determining an inattentive state of an operator of a vehicle and for providing information to the operator of the vehicle by obtaining face images of the operator of the vehicle, obtaining images of an environment of the vehicle, determining one or more areas of interest in the environment of the vehicle based on the images of the environment, obtaining, from a relevance and priority database, relevance and priority values corresponding to the one or more areas of interest, determining a probability of attention of the operator of the vehicle to the one or more areas of interest based on the images of the environment and the relevance and priority values, determining an attention deficiency based on the determined probability of attention and the face images, and providing the information to the operator of the vehicle based on the determined attention deficiency.

Abstract: Method and apparatus for processing a biometric measurement signal using a computing device, including receiving biometric measurement records associated with a first biometric measurement generated by contact with a single individual, extracting, for each of the biometric measurement records, feature data including periodic features extracted from the biometric measurement records, determining, pairing data comprising candidate pairs between the feature data and defined profiles associated with a known individual, wherein a candidate pair is associated with one of the periodic features and one of the defined profiles associated with the known individual, determining, for the candidate pair, a similarity value based on the one of the periodic features and the one of the defined profiles associated with the known individual, and determining whether a match exists between the single individual and the known individual based on a combination of the similarity values determined for the candidate pairs.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for generating an overlay of a highlight or mask of a negotiable instrument on a representative's display for keying the instrument. The system overlays and changes the display of a representative's computer screen in real-time for improved keying instruments by generating highlighting or masking of specified portions of the instrument. The invention generates a grid including an X and Y axis on the instrument and identifies the parameter coordinates for the various indicia on the instrument. The invention may contain code for highlighting or masking various indicia on the instrument using the parameter coordinates for mapping. A programmed overlay may be performed on an image of the instrument in real-time as it is queued onto a representative's display. Upon completion of the representative's keying of the instrument, the overlay is removed for storage of the image of the instrument.

Abstract: Methods and systems for exploiting color for object recognition. A color gradient for each pixel in a gradient image of an object can be calculated. The gradient image can be binarized to produce an image having white walls around characters and other structures. A connected component analysis operation can be performed with respect to black regions in the image to determine bounding boxes for characters and other pictorial elements in the image and thereafter identify character candidates from the image utilizing character metrics. Non-character colors can then be eliminated from the image utilizing an outlier rejection.

Abstract: A method of creating a orthomosaic of a corridor area, the corridor area at least partially described by a corridor path, the method comprising flying an aircraft along a primary flight line approximating the corridor path and capturing a sequence of primary images; flying the aircraft along a secondary flight line substantially parallel to the corridor path and capturing a sequence of secondary images; identifying, in the primary images and secondary images, common features corresponding to common ground points; estimating, via bundle adjustment and from the common ground points, an exterior orientation associated with each primary image and a three-dimensional position associated with each ground point; orthorectifying, using at least some of the exterior orientations and at least some of the three-dimensional ground point positions, at least some of the primary images; and merging the orthorectified primary images to create the orthomosaic.

Abstract: Systems, components, devices, and methods for generating suggestions based on extracting colors from an image are provided. A non-limiting example is a method for generating suggestions for arranging content based on matching colors in an image. The method includes the step of receiving a content file. The content file includes a content region and an image. The method also includes the step of analyzing the image to identify candidate colors in the image. Additionally, the method includes the step of generating a suggestion for the content region. The suggestion includes the image and a suggested design element. The suggested design element matches one of the identified candidate colors.

Abstract: Apparatus, methods and systems of object recognition are disclosed. Embodiments of the inventive subject matter generates map-altered image data according to an object-specific metric map, derives a metric-based descriptor set by executing an image analysis algorithm on the map-altered image data, and retrieves digital content associated with a target object as a function of the metric-based descriptor set.

Abstract: An example information processing system performs a process based on a captured image captured by an image-capturing device. The information processing system obtains information regarding brightness of each pixel based on the captured image. The information processing device calculates position information of the captured image, the position information representing deviation obtained with the brightness of each pixel being used as a weight. The position information is calculated for a predetermined area of the captured image. The information processing device performs a predetermined information process based on the position information.

Abstract: A saliency information acquisition device has a local saliency acquisition unit configured to calculate a saliency measure for each pixel in an input image on the basis of information obtained from a local region surrounding each pixel, a candidate-region setting unit configured to set a plurality of candidate regions in the input image, a global saliency acquisition unit configured to calculate a saliency measure for each candidate region in the plurality of candidate regions on the basis of information including a local saliency feature representing an attribute of the saliency measure for each pixel within a candidate region, and a global feature representing an attribute of the candidate regions in relation to the entire input image, and an integration unit configured to combine the saliency measure for each candidate region in the plurality of candidate regions obtained by the global saliency acquisition unit to generate saliency information.

Abstract: Systems and methods for characterizing an obscurant and imaging a target are disclosed. In one embodiment, a method of imaging a target includes characterizing at least one obscurant present in an environment, and determining, based on the at least one characterized obscurant, one or more of the following: one or more wavelengths corresponding to the at least one obscurant, a polarization state corresponding to the at least one obscurant, and a sensor exposure time corresponding to the at least one obscurant. The method further includes adjusting one or more parameters of an imagining system based at least in part on a characterization of the at least one obscurant.

Abstract: An event detection apparatus includes an input unit configured to input a plurality of time-sequential images, a first extraction unit configured to extract sets of first image samples according to respective different sample scales from a first time range of the plurality of time-sequential images based on a first scale parameter, a second extraction unit configured to extract sets of second image samples according to respective different sample scales from a second time range of the plurality of time-sequential images based on a second scale parameter, a dissimilarity calculation unit configured to calculate a dissimilarity between the first and second image samples based on the sets of the first and second image samples, and a detection unit configured to detect an event from the plurality of time-sequential images based on the dissimilarity.

Abstract: A system and method for recognizing a medication are provided. The method includes the steps of presenting a medication to a medication identification apparatus, the medication identification apparatus adapted to visually image the presented medication and visually imaging the presented medication. A predetermined transformation may be applied to the visually imaged presented medication, the predetermined transformation adjusting one or more parameters of the visually imaged presented medication along one or more dimensions. Finally, the transformed visually imaged medication is compared to a medication library to determine a closest match therebetween.

Abstract: Techniques for predicting and detecting produce quality may be provided. For example, visual or infrared characteristics of a produce item (e.g., skin, shape, wrinkles, and other characteristics of an apple, pepper, etc.) may be compared with ripeness characteristics of the type of produce item (e.g., other apples or peppers). The ripeness characteristics may correspond with the type of produce item at different stages of ripeness along a ripeness regression (e.g., a timeline of the produce item from raw to rotten). One or more ripeness scores of the produce item may be determined along a timeline (e.g., raw at day 1, rotten at day 10, etc.), so that when a user requests a produce item corresponding with a particular ripeness score, the produce item can be provided to the user based in part on the visual or infrared characteristics of the produce item and ripeness regression.

Abstract: Various features described herein may include ways of processing multiple images to determine whether any duplicates are among the multiple images. A hashing algorithm may be used to create a hash key of an image. Multiple hash keys corresponding to multiple images may be compared to determine whether those images are duplicate images. A root mean square algorithm may be used to further identify whether multiple images are duplicate images. An image variation engine, which uses intensity coding, may be used to display differences between images. For example, similar areas in images may be drawn with low intensity or high opacity, while different areas in images may be drawn with high intensity or low opacity.

Abstract: A system of one or more computers can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them installed on the system that in operation causes or cause the system to perform the actions. One general aspect includes a system, including a computer having a processor and a memory, the memory storing instructions executable by the processor such that the computer is programmed to receive an image of at least one lane marker from an image capture device mounted to a vehicle. The system also identifies a lane transition according to the image. The system can also control at least one of steering, braking, and acceleration of the vehicle according to a history of data concerning the lane transition locations.

Abstract: In an information processing apparatus that includes sequences of weak classifiers which are logically cascade-connected in each sequence and the sequences respectively correspond to categories of an object and in which the weak classifiers are grouped into at least a first group and a second group in the order of connection, classification processing by weak classifiers belonging to the first group of respective categories is performed by pipeline processing. Based on the processing results of the weak classifiers belonging to the first group of the respective categories, categories in which classification processing by weak classifiers belonging to the second group is to be performed are decided out of the categories. The classification processing by the weak classifiers respectively corresponding to the decided categories and belonging to the second group is performed by pipeline processing.

Abstract: A method and system for fusion of multi-modal volumetric images is disclosed. A first image acquired using a first imaging modality is received. A second image acquired using a second imaging modality is received. A model and of a target anatomical structure and a transformation are jointly estimated from the first and second images. The model represents a model of the target anatomical structure in the first image and the transformation projects a model of the target anatomical structure in the second image to the model in the first image. The first and second images can be fused based on estimated transformation.

Abstract: An image matching method includes: extracting a plurality of feature points from a reference image; selecting a first feature point from the feature points, and selecting a first reference search area comprising the first feature point; setting a first matching candidate search area corresponding to the first reference search area from a target image, and extracting a plurality of feature points from the first matching candidate search area; selecting a second feature point closest to the first feature point in the first reference search area, and selecting a first straight line connecting the first and second feature points; generating a plurality of segments from the feature points extracted from the first matching candidate search area; and determining a first matching straight line matching a length and an angle of the first straight line, from the segments generated from the feature points extracted from the first matching candidate search area.

Abstract: Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images. The model is then used to localize text in a subsequently received image, and may do so automatically and without user intervention, e.g., without specifying any of the edges of a bounding box. In a second example, a deep neural network is directly learned as an embedding function of a model that is usable to determine font similarity. In a third example, techniques are described that leverage attributes described in metadata associated with fonts as part of font recognition and similarity determinations.

Abstract: An image processing apparatus performing a rasterization process with a scanline method interprets a received printing job and generates objects. In an objecting combining process, the reception objects are spooled, the generated objects are interpreted, and it is subsequently determined whether or not the objects are vertically long objects to be combined into a single object. If the objects are determined to be the vertically long objects, an object combining process is performed to render the vertically long objects respectively in a longitudinal direction to form the single object.

Abstract: An image forming apparatus operable in a first power state and a second power state in which power consumption is lower than in the first power state includes a return notification unit that outputs a return notification aggregating return factors in a case where at least one of a plurality of predetermined return factors causing the image forming apparatus to return to the first power state from the second power state has occurred in the second power state, a retaining unit that retains a return factor, and a control unit that returns the image forming apparatus to the first power state from the second power state according to the return notification and acquires the return factor retained by the retaining unit.

Abstract: A control apparatus includes a display unit, a storing unit, a determining unit, and a control unit. The display unit displays a job. The storing unit stores attribute information about a sheet to be accommodated in a sheet holding unit. The determining unit determines whether attribute information about a sheet to be used in the job corresponds to attribute information about the sheet stored in the storing unit. The control unit controls the determining unit, wherein, after determination processing by the determining unit has been completed. The control unit controls the determining unit to further perform determination processing in response to a change of the attribute information about the sheet stored in the storing unit, or in response to a change of the attribute information about the sheet to be used in the job.

Abstract: An information processing apparatus includes an obtaining unit and a replacing unit. The obtaining unit obtains one or more pieces of information obtained from a code image included in a read image of a document. The replacing unit replaces at least one piece of information among the one or more pieces of information obtained by the obtaining unit with another piece of information that is associated in advance with the at least one piece of information and that has a larger amount of information than an amount of information of the at least one piece of information.

Abstract: A radio frequency identification (RFID) automatic vehicle identification (AVI) system configured to mitigate signal interference, the system comprising a plurality of RFID readers, comprising a first RFID reader and a second RFID reader; and a plurality of antennas, wherein a first antenna is connected to the first RFID reader and a second antenna is connected to the second RFID reader. Prior to the first RFID reader transmitting a signal through the first antenna, the first RFID reader samples a received radio frequency (RF) signal from the first antenna, and if the received RF signal meets predetermined strength and frequency criteria, the first RFID reader inhibits transmission of the signal through the first antenna.

Abstract: An article of jewelry including a housing that permits passage of a near field communication signal, the housing characterized as having a lower layer joined to an upper layer; a near field communication (NFC) chip housed within the housing; a gemstone covering the upper layer of the housing; and a bezel substantially surrounding the outer perimeter of the housing and on a same plane as the NFC chip, wherein the bezel is formed from a highly electrically conductive material, further wherein the bezel permits near field communication with the NFC chip.

Abstract: A liquid state machine pulse domain neural processor circuit comprising an asynchronous input filter circuit provided for, at any given time, receiving a series of analog input signals and generating in response a set of time-encoded values that depend on the series of analog input signals received at said given time and before said given time; and an asynchronous trainable readout map circuit for transforming at least a portion of said set of time encoded values into output signals.

Abstract: Systems and methods can support complex event handling. A complex event handler can receive a current event. The current event may be stored to an event log. The current event may be matched against rule conditions within a rule implementation system. Prior events may be identified, within the rule implementation system, upon which the matched rule conditions also depend. The event log may be searched for the identified prior events. Prior event parameters, corresponding to the identified prior events, may be retrieved from the event log. The rule conditions may be evaluated in view of the current event and the retrieved prior event parameters. Actions may be executed that correspond to the rule conditions triggered in response to the evaluating. Domain specific language expression may be received, processed, and incorporated as rules and facts into the rule implementation system.

Abstract: The disclosure relates (a) a method and computer program product for training a content classifier and (b) a method and computer program product for using the trained content classifier to determine compliance of content items with a content policy of an online system. A content classifier is trained using two training sets, one containing NSFW content items and the other containing SFW content items. Content signals are extracted from each content item and used by the classifier to output a decision, which is compared against its known classification. Parameters used in the classifier are adjusted iteratively to improve accuracy of classification. The trained classifier is then used to classify content items with unknown classifications. Appropriate action is taken for each content item responsive to its classification. In alternative embodiments, multiple classifiers are implemented as part of a two-tier classification system, with text and image content classified separately.

Abstract: Exemplary methods, apparatuses, and systems determine that an indication that a received message was sent in response to another message is present in the received message, parse a stored message, in response to the indication being present, for at least a partial match between a subject of the received message and contents of a subject of the stored message, and for at least a partial match between sender and recipient participants of the received message and sender and recipient participants of the stored message, and display the received message as grouped with the stored message. A further exemplary feature includes parsing text of the received message for text that is redundant of text of the stored message, determining that a minimum threshold of consecutive matching characters has been reached, and displaying the received message with the consecutive matching characters at least partially hidden from view.

Abstract: A system for planning and executing a response to an incident includes a planning and execution data source and a processing system. The processing system is in operable communication with the planning and execution database. The processing system is configured to generate pre-planned responses to be executed by associated response assets, store data representative of the pre-planned responses in the planning and execution database, selectively retrieve a pre-planned response from the planning and execution database, communicate with the response assets associated with the retrieved pre-planned response, provide real-time tracking of the retrieved pre-planned response being executed by the associated response assets, and selectively generate recommendations for modifying the retrieved pre-planned response.

Abstract: An original set of rules are transformed into a resulting set of generalized rules in a rule management system. An original set of rules stored in a data structure for transforming into a resulting set of rules are accessed. The original set of rules is automatically processed by building a compact description of one or more rules in the original set of rules and their actions in the form of logical constraints and solving constraints to find a solution that represents a case and an applied action, building a family of cases by taking all logical tests or their negation that are satisfied by the solution, and generalizing the family of cases by removal of specific logical tests which do not apply to the action, resulting in a most-general rule.

Abstract: A method includes forming a working mixed integer linear program (MILP) from a given MILP for job allocation to allocate people to jobs at least by choosing a subset of variables from the MILP. Only person/job combinations that are deemed most valuable are chosen for the subset. The working MILP includes the chosen subset of variables but no other variables from the given MILP. The working MILP is solved to determine a solution. Using the solution, a special linear program is formed and solved to determine a price of each constraint relative to the solution. Using the prices, variables that are not in the working MILP are evaluated to determine any variables that can contribute to an improved solution. The variables evaluated as contributing to an improved solution are added to the working MILP. The working MILP with the added variables is solved. Apparatus and program products are also disclosed.

Abstract: Disclosed are various implementations for a labor recommendation application. Historical worker assignments and work buffer states for materials processing facilities are selected. Lost labor times are determined as a function of the historical worker assignments and buffer states. A statistical analysis is performed on the lost labor times, the historical worker assignments, or the work buffer states. A labor recommendation for a materials processing facility to minimize estimated lost labor time.

Abstract: A system tool that provides dispatchers in power grid control centers with a capability to manage changes. Included is a user interface and a plurality of scheduler engines. Each scheduler engine is configured to look ahead at different time frames to forecast system conditions and alter generation patterns within the different time frames. A comprehensive operating plan holds schedules generated by the plurality of scheduler engines. A relational database is coupled to the comprehensive operating plan. Input data is initially received from the relational database for each scheduling engine, and thereafter the relational database receives data from the scheduling engines relative to forecast system conditions.

Abstract: Methods, non-transitory computer-readable media and apparatuses for modifying a task flow are disclosed. For example, a method receives a request to modify the task flow template which is associated with a plurality of task flow modification rules. The method determines whether the request violates a modification rule of the plurality of task flow modification rules. A first rule specifies that no automated tasks in the task flow template can be deleted and a second rule specifies that no automated task in the task flow template can be moved to precede another automated task on which it depends. The method rejects the request when the request is determined to violate one of the first rule and the second rule of the plurality of task flow modification rules. Otherwise, the method modifies the task flow template in accordance with the request to produce a modified task flow template.

Abstract: A computer implemented method for customer response management the method comprising the step of collecting information from social networking sites wherein the information is at least a post or comment for at least a brand or product; identifying customer among pluralities of authors of the information on the social networking sites; categorizing the information into at least a complaint, lead, service request, information request or feedback; analyzing the categorized information; prioritizing the analyzed information; and routing the prioritized information to at least a concerned personnel or a work flow of the Customer Relationship Management (CRM) system for response. The method further comprising identifying the influence of the customer wherein the influence is at least a global influence or local influence. The identification of customer is done by fetching information from at least the Customer Relationship Management (CRM) system or social profile aggregator service.

Abstract: A new technique to analyze the control-flow, i.e., the workflow graph of a business process model, which is called symbolic execution, is provided. Acyclic workflow graphs that may contain inclusive OR-gateways are considered; a symbolic execution for them is defined, which runs in quadratic time. In particular, this symbolic execution essentially comprises labeling edges of nodes of the graph such that a label assigned to a first edge comprises a set of one or more edge identifiers, each identifying a second edge that is an outgoing edge of an XOR-split or an IOR-split node in the graph, whereby executing the second edge ensures that the first edge will be executed. Such a scheme may permit a decision for any pair of control-flow edges or tasks of the workflow graph whether they are sometimes, never, or always reached concurrently. This has different applications in finding control- and data-flow errors.

Abstract: Embodiments are disclosed to detect whether an interaction has occurred between a customer and one or more store employees. By analyzing a how long a communication device used by the customer was within a threshold range of one or more devices worn by store employees, an interaction between the customer and one or more store employees may be identified. Employees whom the customer interacted with may be identified by processing transmission parameters broadcasted by the devices worn by the store employees. Thus, all employees in which a customer interacted with while visiting a store may be identified. The customer may be asked for feedback via the communication device upon detection that a customer has completed a transaction and/or left the store. Using the solicited feedback provided by the customer, various types of reports may be generated.