Abstract: A system and method for object monitoring, detection, and segmentation in electro-optical (EO) satellite imagery data comprising an image processing engine configured to prepare EO data for analysis by an inference engine which utilizes one or more trained models to perform object detection or image segmentation. The workflow begins with ingesting satellite data, followed by de-hazing to remove atmospheric interference. Image enhancement improves resolution and geo-registration ensures precise spatial alignment. The processed image is then fed into a machine learning-based object detection or image segmentation network, trained to identify specific objects of interest. This integrated approach leverages advanced technologies to extract actionable insights from satellite data, enabling efficient and precise object monitoring, detection, and segmentation.

Abstract: Systems, methods and computer program products are presented for the automated deployment of a code update to a device. One or more clusters of devices may be connected to a development environment for deployment of one or more code updates through respective development pipelines to the respective clusters of devices. A first cluster of devices receives a module for implementation of an agent for the first cluster of devices and a central queue local to a centralized controller of the development environment. The agent reports at least one status of a respective device to the centralized controller of the development environment, whereby that status may correspond to a code update image pulled onto the respective device. The agent retrieves one or more instruction messages from the centralized controller in response to the reported status of the respective device.

Abstract: Systems, methods and computer program products are presented for the automated deployment of a code update to a device. One or more clusters of devices may be connected to a development environment for deployment of one or more code updates through respective development pipelines to the respective clusters of devices. A first cluster of devices receives a module for implementation of an agent for the first cluster of devices and a central queue local to a centralized controller of the development environment. The agent reports at least one status of a respective device to the centralized controller of the development environment, whereby that status may correspond to a code update image pulled onto the respective device. The agent retrieves one or more instruction messages from the centralized controller in response to the reported status of the respective device.

Abstract: Methods and systems may be used to deploy software more quickly from development to a production environment. The methods and systems may speed up the process of developing and deploying new code. Integrations may be provided to monitor aspects of the system to provide statistics and metrics for better understanding and to automatically optimize certain aspects of the software development cycle.

Abstract: Methods and systems may be used to deploy software more quickly from development to a production environment. The methods and systems may speed up the process of developing and deploying new code. Integrations may be provided to monitor aspects of the system to provide statistics and metrics for better understanding and to automatically optimize certain aspects of the software development cycle.

Abstract: Systems, methods and computer program products are presented for the automated deployment of a code update to a device. One or more clusters of devices may be connected to a development environment for deployment of one or more code updates through respective development pipelines to the respective clusters of devices. A first cluster of devices receives a module for implementation of an agent for the first cluster of devices and a central queue local to a centralized controller of the development environment. The agent reports at least one status of a respective device to the centralized controller of the development environment, whereby that status may correspond to a code update image pulled onto the respective device. The agent retrieves one or more instruction messages from the centralized controller in response to the reported status of the respective device.

Abstract: Methods and systems may be used to deploy software more quickly from development to a production environment. The methods and systems may speed up the process of developing and deploying new code. Integrations may be provided to monitor aspects of the system to provide statistics and metrics for better understanding and to automatically optimize certain aspects of the software development cycle.