Abstract: Systems and methods directed to adjusting an image based on a detected object depicted in the image are described. The method may include receiving an image from an image sensor, receiving statistical information associated with the image, detecting an object depicted in the image using a deep neural network, identifying object-specific statistical information for the detected object, generating a weighted object-specific parameter based on the object-specific statistical information, generating a weighted-image value based on the weighted object-specific parameter, providing the weighted-image value to the image sensor, where the image sensor is configured to update one or more image sensor parameters based on the weighted-image value, and acquiring an image from the image sensor updated with the one or more image sensor parameters.

Abstract: A data transmission system and method. The data is associated with an application and the application is used in connection with accessing a business process. The business process is associated with an activity time period, commencing with an opening time and ending with a closing time. One or more requests for data associated with the application are received. The requested data comprises data that is not refreshed during the activity time period. The request comprises a command embedded in a hyper text transfer protocol request. The request is parsed. A data repository is queried for data responsive to the request. A result set of data is generated in response to the query. The data in the result set is translated to a binary format. The translated data is transmitted over a communication channel using hyper text transfer protocol.