Abstract: In one embodiment, an electronic device includes a video-in interface, a video-out interface, memory circuitry, and processing circuitry. A first video stream with uncompressed frames is received via the video-in interface. The first video stream is compressed and then stored in a video buffer on the memory circuitry. For example, the uncompressed frames are individually compressed and stored in the video buffer. A second video stream with encoded frames is decoded and then played on a display device. For example, the encoded frames are decoded and then displayed on the display device via the video-out interface. The first video stream is then decompressed and played on the display device. For example, the compressed frames in the video buffer are individually decompressed and then displayed on the display device via the video-out interface.

Abstract: In one embodiment, an apparatus comprises a display interface to communicate with a display device and a processor. The processor is to: identify a mobile transaction associated with a user, wherein the mobile transaction comprises a potential transaction to be completed using a mobile device of the user; access transaction data associated with the mobile transaction; encrypt the transaction data based on an encryption key associated with the user; generate a visual code associated with the encrypted transaction data, wherein the visual code comprises visually encoded data, and wherein the visual code is generated within a protected execution environment of the processor; establish a protected datapath between the processor and the display device via the display interface; and transmit the visual code to the display device via the protected datapath, wherein the visual code is to be displayed on the display device.

Abstract: Systems and methods for displaying content from a multi-use fog device are provided. The multi-use fog device may include a processor to execute code segments, and a floating-point gate array (FPGA) card that is coupled to the processor through a PCIe interface. The FPGA card includes a header for connecting sensors to the multi-use fog device, and an FPGA that provides video processing for the multi-use fog device.

Abstract: A digital advertising system includes an advertisements module that provides a number of digital advertisements for display on a digital display device. A digital sign module including the digital display device displays digital advertisements provided by the advertisements module, and captures video analytics data relating to previous viewers of the digital advertisements displayed by the digital sign module. A data mining module retrieves the video analytics data from the digital sign module and generates trained advertising models based thereon using a data mining algorithm. A content management system module coupled to the advertisements module and the data mining module receives the digital advertisements and the trained advertising models and generates a subset of the advertisements for display based on the trained advertising models.

Abstract: System and techniques for distributed telemetry platform are described herein. A telemetry pipeline comprising ordered executable blocks is obtained. Each of these executable blocks including a requirements data structure. A first executable block of the telemetry pipeline is sent to a first agent based on first requirements in the requirements data structure for that executable block. A second executable block of the telemetry pipeline to a second agent based on second requirements in the requirements data structure for the second executable block. The telemetry pipeline is then executed to obtain an indication that the first agent does not meet the first requirements after execution of the telemetry pipeline has begun. In response, the first executable block is moved from the first agent to a third agent.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data, wherein the sensor data is captured by a plurality of sensors within an educational environment. The processor is to: access the sensor data captured by the plurality of sensors; identify a student within the educational environment based on the sensor data; detect a plurality of events associated with the student based on the sensor data, wherein each event is indicative of an attention level of the student within the educational environment; generate a report based on the plurality of events associated with the student; and send the report to a third party associated with the student.

Abstract: A digital advertising system includes an advertisements module that provides a number of digital advertisements for display on a digital display device. A digital sign module including the digital display device displays digital advertisements provided by the advertisements module, and captures video analytics data relating to previous viewers of the digital advertisements displayed by the digital sign module. A data mining module retrieves the video analytics data from the digital sign module and generates trained advertising models based thereon using a data mining algorithm. A content management system module coupled to the advertisements module and the data mining module receives the digital advertisements and the trained advertising models and generates a subset of the advertisements for display based on the trained advertising models.

Abstract: A set of samples are returned by radio frequency identifier (RFID) reader corresponding to the readings of signals emitted from a particular RFID tag, each sample including a respective set of features identifying values of the attributes of the signals as detected. At least some of the features are provided as inputs to a random forest of decision trees, each providing a prediction that the particular RFID tag is located in one of a plurality of defined zones in a particular environment. From outputs of the plurality of decision trees based on the set of samples, it can be determined that the particular RFID tag is located in a particular one of the plurality of zones at a first instance in time.

Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.

Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.

Abstract: In various embodiments, an RFID Antenna/Tag Location Configuration device (RLC) may facilitate placement of one or more RFID antennas in a physical space. The RLC may collect RFID data from tags determine which of the RFID antennas need to be relocated. The RLC may determine, based on collected RFID data, whether each antenna is a dominant antenna and/or has a substantial read rate. If an antenna is not dominant and/or does not exhibit a substantial read-rate, the RLC ma indicate that the antenna should be relocated. The RLC may also be configured to filter collected RFID data prior to using the data for determination of antennas. The RLC may also determine, using the RFID antennas, a physical location of RFID tags in the physical space using detected signal strength for RFID tags. Additional embodiments may be described and/or claimed.

Abstract: Systems and methods for autonomously generating temporally limited targeted offers and/or directed advertisements based on detected interaction between customers and products are provided. A regional monitoring system may detect the movement of a customer in the establishment. A customer that moves within a limited area of the establishment may be identified by targeted offer distribution circuitry as interested in one or more products in the area. A customer interest monitoring device detects interaction between the customer and the product. Using information obtained from the customer interest monitoring device, the targeted offer distribution circuitry autonomously generates a temporally limited targeted offer or directed advertisement. The targeted offer distribution circuitry delivers the targeted offer or directed advertisement to an output device proximate the customer or to a processor-based device or media carried or possessed by the customer.

Abstract: Various embodiments are directed to cooperation among computing devices to employ visually identifiable traits of a person and data concerning their online activities to determine subjects of interest to them and select advertisements. An apparatus comprises a processor circuit; an interface operative to communicatively couple the processor circuit to a network; and a storage communicatively coupled to the processor circuit and arranged to store a sequence of instructions operative on the processor circuit to: monitor online activities comprising interactions with a computing device via the interface and the network; store collected data about the online activities; store profile data comprising visually identifiable traits; detect a signage device; and form a link with the signage device via the interface and transmit the profile data to the signage device via the link in response to detection of the signage device. Other embodiments are described and claimed herein.

Abstract: This disclosure presents embodiments for performing privacy-preserving distributed computing. For example, a workload that includes a plurality of tasks may be identified, and a workload graph may be generated to represent the workload. In addition, a device connectivity graph with connectivity information for a plurality of processing devices may be identified. A privacy policy associated with the workload, along with privacy level information associated with the plurality of processing devices, may also be identified. A privacy constraint may then be identified based on the privacy policy and the privacy level information. A workload schedule that includes a mapping of the workload onto the plurality of processing devices may be determined based on the privacy constraint, the workload graph, and the device connectivity graph. The workload schedule may be sent to the plurality of processing devices, which may execute the workload based on the workload schedule.

Abstract: Localization data is accessed, which is based on information collected by one or more sensor devices deployed within an environment. The localization data identifies presence of a person within a particular location within the environment. A feature vector is access, which includes values to describe a plurality of different physical characteristics of the person as measured by a set of one or more sensor devices deployed within the environment when the person was present within the particular location. An emotion of the person is determined from the feature vector data, and the emotion is associated with the particular location within the environment. An emotion heat map is generated of the environment to map emotional responses determined within the environment to specific locations within the environment.

Abstract: In one embodiment, an apparatus may comprise a sensor to detect a plurality of radio signals from one or more transmitters. The apparatus may further comprise a processor to: identify the plurality of radio signals detected by the sensor; detect a proximity of one or more assets based on the plurality of radio signals, wherein the one or more assets are associated with the one or more transmitters; identify the one or more assets based on an identity of the one or more transmitters, wherein each transmitter is associated with a particular asset; identify a plurality of signal characteristics associated with the plurality of radio signals; detect a proximity of a human based on the plurality of signal characteristics; and detect one or more human-asset interactions based on the plurality of signal characteristics.

Abstract: Systems and methods for displaying content from a multi-use fog device are provided. The multi-use fog device may include a processor to execute code segments, and a floating-point gate array (FPGA) card that is coupled to the processor through a PCIe interface. The FPGA card includes a header for connecting sensors to the multi-use fog device, and an FPGA that provides video processing for the multi-use fog device.

Abstract: In one embodiment, an apparatus comprises a display interface to communicate with a display device and a processor. The processor is to: identify a mobile transaction associated with a user, wherein the mobile transaction comprises a potential transaction to be completed using a mobile device of the user; access transaction data associated with the mobile transaction; encrypt the transaction data based on an encryption key associated with the user; generate a visual code associated with the encrypted transaction data, wherein the visual code comprises visually encoded data, and wherein the visual code is generated within a protected execution environment of the processor; establish a protected datapath between the processor and the display device via the display interface; and transmit the visual code to the display device via the protected datapath, wherein the visual code is to be displayed on the display device.

Abstract: A system includes a self-learning module for creating a self-learned planogram based on images of shelving units at a location and shelving unit tracking. The self-learned planogram includes shelving unit locations for the shelving units. The system also includes a training module for training the merchandise tracking model based on merchandise-shelving unit clustering. The merchandise-shelving unit clustering is based on the self-learned planogram and sensor readings received from sensors at the location. The sensor readings are associated with items at the location. The system further includes a tracking module for tracking and storing locations of the items based on the sensor readings and the merchandise tracking model. The system also includes a planogram compliance module for determining planogram compliance based on comparing the self-learned planogram to the item locations.

Abstract: In one embodiment, an apparatus may comprise a sensor to detect a plurality of radio signals from one or more transmitters. The apparatus may further comprise a processor to: identify the plurality of radio signals detected by the sensor; detect a proximity of one or more assets based on the plurality of radio signals, wherein the one or more assets are associated with the one or more transmitters; identify the one or more assets based on an identity of the one or more transmitters, wherein each transmitter is associated with a particular asset; identify a plurality of signal characteristics associated with the plurality of radio signals; detect a proximity of a human based on the plurality of signal characteristics; and detect one or more human-asset interactions based on the plurality of signal characteristics.