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: 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: 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: 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: 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: Technologies for delivering content to a mobile compute device includes a content management compute device. The content management compute device may be associated with a content object and configured to transmit content related to the content object to a mobile compute device. To do so, the content management compute device is configured to determine which content object a user of the mobile compute device is interested in based on which object the user is pointing the mobile compute device toward.

Abstract: An apparatus and method for mobile prediction is disclosed. In an embodiment, a predictive component creates graphs of user behaviors and receives subgraphs derived from a global graph. By combining a subset of the user behavior graph and the subgraph, a user behavior is predicted. Other embodiments are described and claimed.

Abstract: Disclosed herein is a computer system for rendering targeted content on a digital sign. The computer system includes a display screen and a camera. The computer system also includes a video analytics module to receive video images from the camera and generate audience metrics based on the video images. The audience metrics include eye gaze information that identifies an area of the display screen being viewed by a person. The computer system also includes a content management module to identify a content selection to be rendered by the digital sign based on the audience metrics.

Abstract: Disclosed herein is a computer system for rendering targeted advertisements. The computer system includes a Web crawling module that generates product information based on product reviews obtained from product review Websites. The computer system also includes a content management module that receives audience metrics and user interest data from a digital sign. The audience metrics describe features of people in the vicinity of the digital sign, and the user interest data is received from a mobile device in the vicinity of the digital sign. The computer system also includes a data miner to correlate the product information, the user interest data, and the audience metrics to identify an advertisement likely to appeal to the user of the mobile device.

Abstract: Selecting when to display one of a plurality of advertisements on a digital sign. An embodiment of the invention gathers video analytics data from a plurality of objects that pass by a sensor, and analyze the gathered video analytics data to determine a type for each of the objects. The embodiment then trains advertising models based on the determined types and selects an advertisement from a plurality of advertisements for display on the digital sign based on the trained advertising models.