Abstract: Certain aspects and features of the present disclosure relate to systems and methods for automatically classifying hosts in real-time. For instance, classifying hosts as bots, and subsequently mitigating or blocking traffic from the hosts classified as bots can be advantageous in real-time data exchange systems. In a real-time data exchange system, data can be exchanged between a server and a target host in real-time when the target host accesses a webpage. Inhibiting data communication between servers and hosts operated by bot scripts can reduce fraudulent activity. In some implementations, hosts can be automatically classified into various groups based at least in part on the data included in requests received from the hosts.

Abstract: Certain aspects and features of the present disclosure relate to systems and methods for automatically classifying hosts in real-time. For instance, classifying hosts as bots, and subsequently mitigating or blocking traffic from the hosts classified as bots can be advantageous in real-time data exchange systems. In a real-time data exchange system, data can be exchanged between a server and a target host in real-time when the target host accesses a webpage. Inhibiting data communication between servers and hosts operated by bot scripts can reduce fraudulent activity. In some implementations, hosts can be automatically classified into various groups based at least in part on the data included in requests received from the hosts.

Abstract: Systems, methods and devices for indexing, archiving, analyzing and reporting pipe and other void network data. Specifically, multi-dimensional indexing and correlation of spatial, temporal, feature, environmental, uncertainty and/or context-based data is synchronized, indexed and analyzed across a wide variety of pipe networks at various times. The present invention preferably includes data represented at several different levels of reference including: referenced to the sensor with which it was collected; referenced to the robot or platform upon which the sensor is attached; and the world. The structure and functionality of the system provides for extensive querying, trouble-shooting and predictive analysis for pipe networks.

Abstract: An autonomous inspector mobile platform robot that is used to inspect a pipe or network of pipes. The robot includes a locomotion device that enables the device to autonomously progress through the pipe and accurately track its pose and odometry during movement. At the same time, image data is autonomously captured to detail the interior portions of the pipe. Images are taken at periodic intervals using a wide angle lens, and additional video images may be captured at locations of interest. Either onboard or offboard the device, each captured image is unwarped (if necessary) and combined with images of adjacent pipe sections to create a complete image of the interior features of the inspected pipe. Optional features include additional sensors and measurement devices, various communications systems to communicate with an end node or the surface, and/or image compression software.