Abstract: Systems, devices, and methods for associating vehicle identification information with other visually captured information are provided. In general, a system can include a processor configured to receive an image from a camera located at a fueling station. The processor can be configured to apply an algorithm to extract various features from the image, such as a vehicle that is present in the image, facial features of a driver and/or a passenger of the vehicle, or a license plate of the vehicle. The features can be used by the processor to determine information from the features, such as the identity of the driver, the make/model of the vehicle, or an owner of the vehicle. The processor can then, based on the determined information, be configured to take a variety of actions and thereby reduce the likelihood of possible future losses associated with the vehicles or individuals present in the image.

Abstract: A system for presenting hyper-personalized content over objects is provided. The system determines context features based on digital media, sensor data, and a user profile of a user of a mobile device. The system computes a context vector representing a context associated with the digital media and the user based on a correlation of the context features and compares the context vector with a plurality of context vectors of a plurality of multimedia content. The system selects, from the plurality of multimedia content, a multimedia content based on the comparison of the context vector with the plurality of context vectors. The system renders, on a display of the mobile device, an augmented reality presentation in which the selected multimedia content is superimposed on a target object displayed in the digital media. The augmented reality presentation is hyper-personalized to map to the context associated with the user.

Abstract: Systems, devices, and methods for associating vehicle identification information with other visually captured information are provided. In general, a system can include a processor configured to receive an image from a camera located at a fueling station. The processor can be configured to apply an algorithm to extract various features from the image, such as a vehicle that is present in the image, facial features of a driver and/or a passenger of the vehicle, or a license plate of the vehicle. The features can be used by the processor to determine information from the features, such as the identity of the driver, the make/model of the vehicle, or an owner of the vehicle. The processor can then, based on the determined information, be configured to take a variety of actions and thereby reduce the likelihood of possible future losses associated with the vehicles or individuals present in the image.

Abstract: In one aspect, data characterizing a video feed acquired by a camera oriented toward and including a field of view of a forecourt of a fueling station can be received. The video feed can be monitored for hazards, and the monitoring of the video feed can include performing automatic hazard detection on the video feed using at least one predictive model that predicts a presence of a hazard within the forecourt of the fueling station. A command can be transmitted in response to the detecting of the presence of the hazard within the forecourt of the fueling station. Related apparatus, systems, methods, techniques, and articles are also described.

Abstract: Methods and systems are provided for schedule-based uninterrupted buffering and streaming. In an embodiment, at least one first media file can be received by a streaming server. The streaming server can create a first media file playlist including the at least one first media file. A schedule defining a first desired output time at which a client is to output the first media file playlist can be received by the streaming server. A schedule-based streaming buffer can be generated by the streaming server. The schedule-based streaming buffer can store the first media file playlist prior to the first desired output time. The schedule-based streaming buffer can be provided to the client by the streaming server such that the client can output the first media file playlist at the first desired output time.

Abstract: In an aspect, a cloud-based server can establish a communications channel with a merchant device over a computer network. The cloud-based server can receive product information characterizing a product from the merchant device via the communications channel. The product information can include at least one measurement characterizing the product acquired in real-time by at least one sensor communicatively coupled to the merchant device. The cloud-based server can calculate a remaining life of the product based on the product information received from the merchant device. The cloud-based server can calculate a real-time price of the product based on a plurality of factors including the calculated remaining life of the product. The cloud-based server can transmit a promotion to purchase the product at a discount to a first client device in response to determining that the remaining life of the product is less than a predefined threshold, the discount calculated based upon the real-time price of the product.

Abstract: In an aspect, a cloud-based server can establish a communications channel with a merchant device over a computer network. The cloud-based server can receive product information characterizing a product from the merchant device via the communications channel. The product information can include at least one measurement characterizing the product acquired in real-time by at least one sensor communicatively coupled to the merchant device. The cloud-based server can calculate a remaining life of the product based on the product information received from the merchant device. The cloud-based server can calculate a real-time price of the product based on a plurality of factors including the calculated remaining life of the product. The cloud-based server can transmit a promotion to purchase the product at a discount to a first client device in response to determining that the remaining life of the product is less than a predefined threshold, the discount calculated based upon the real-time price of the product.

Abstract: In one aspect, data characterizing a video feed acquired by a camera oriented toward and including a field of view of a forecourt of a fueling station can be received. The video feed can be monitored for hazards, and the monitoring of the video feed can include performing automatic hazard detection on the video feed using at least one predictive model that predicts a presence of a hazard within the forecourt of the fueling station. A command can be transmitted in response to the detecting of the presence of the hazard within the forecourt of the fueling station. Related apparatus, systems, methods, techniques, and articles are also described.

Abstract: Systems, devices, and methods for associating vehicle identification information with other visually captured information are provided. In general, a system can include a processor configured to receive an image from a camera located at a fueling station. The processor can be configured to apply an algorithm to extract various features from the image, such as a vehicle that is present in the image, facial features of a driver and/or a passenger of the vehicle, or a license plate of the vehicle. The features can be used by the processor to determine information from the features, such as the identity of the driver, the make/model of the vehicle, or an owner of the vehicle. The processor can then, based on the determined information, be configured to take a variety of actions and thereby reduce the likelihood of possible future losses associated with the vehicles or individuals present in the image.

Abstract: In an aspect, a cloud-based server can establish a communications channel with a merchant device over a computer network. The cloud-based server can receive product information characterizing a product from the merchant device via the communications channel. The product information can include at least one measurement characterizing the product acquired in real-time by at least one sensor communicatively coupled to the merchant device. The cloud-based server can calculate a remaining life of the product based on the product information received from the merchant device. The cloud-based server can calculate a real-time price of the product based on a plurality of factors including the calculated remaining life of the product. The cloud-based server can transmit a promotion to purchase the product at a discount to a first client device in response to determining that the remaining life of the product is less than a predefined threshold, the discount calculated based upon the real-time price of the product.

Abstract: Methods and systems are provided for schedule-based uninterrupted buffering and streaming. In an embodiment, at least one first media file can be received by a streaming server. The streaming server can create a first media file playlist including the at least one first media file. A schedule defining a first desired output time at which a client is to output the first media file playlist can be received by the streaming server. A schedule-based streaming buffer can be generated by the streaming server. The schedule-based streaming buffer can store the first media file playlist prior to the first desired output time. The schedule-based streaming buffer can be provided to the client by the streaming server such that the client can output the first media file playlist at the first desired output time.