Abstract: A system includes a lidar system, a camera system, and a computing device. The computing device can receive lidar data from the lidar system, receive camera data from the camera system, execute object recognition process(es) to identify, from the camera data, a utility pole and components attached to the utility pole and to create corresponding classified camera data. The computing device can align the camera data with the lidar data and can classify the lidar data to create classified lidar data. The computing device can determine characteristics of the components based on the classified camera data and the classified lidar data. Based on the characteristics, the computing system can perform a pole loading analysis, a clearance analysis, and/or a wire sag analysis.

Abstract: The present invention pertains to a device, system, and method for evaluating the condition of a wooden structure by automated profiling of the hardness of the structure. More particularly, the present invention is directed towards a probing device comprising a blade coupled to a resistance mechanism and a mechanical sensor for measuring the hardness of wood in a structure; a system comprising such a device, and a computing device coupled to the device that outputs the hardness measurements of the device; and a method for operating such a device and determining the condition of wood by identifying changes in hardness in a wooden structure.

Abstract: A device for evaluating the condition of a wooden structure, including: a shaft; a distance sensor coupled to the shaft; and an image capture device coupled to the shaft, the distance sensor being configured to measure a location of the image capture device in the wooden structure.

Abstract: A device for evaluating the condition of a wooden structure, including: a shaft; a distance sensor coupled to the shaft; and an image capture device coupled to the shaft, the distance sensor being configured to measure a location of the image capture device in the wooden structure.

Abstract: A device for evaluating the condition of a wooden structure, including: a shaft; a distance sensor coupled to the shaft; and an image capture device coupled to the shaft, the distance sensor being configured to measure a location of the image capture device in the wooden structure.

Abstract: The present invention pertains to a device, system, and method for evaluating the condition of a wooden structure by automated profiling of the hardness of the structure. More particularly, the present invention is directed towards a probing device comprising a blade coupled to a resistance mechanism and a mechanical sensor for measuring the hardness of wood in a structure; a system comprising such a device, and a computing device coupled to the device that outputs the hardness measurements of the device; and a method for operating such a device and determining the condition of wood by identifying changes in hardness in a wooden structure.

Abstract: A device for evaluating the condition of a wooden structure, including: a shaft; a distance sensor coupled to the shaft; and an image capture device coupled to the shaft, the distance sensor being configured to measure a location of the image capture device in the wooden structure.

Abstract: The present invention pertains to a device, system, and method for evaluating the condition of a wooden structure by automated profiling of the hardness of the structure. More particularly, the present invention is directed towards a probing device comprising a blade coupled to a resistance mechanism and a mechanical sensor for measuring the hardness of wood in a structure; a system comprising such a device, and a computing device coupled to the device that outputs the hardness measurements of the device; and a method for operating such a device and determining the condition of wood by identifying changes in hardness in a wooden structure.

Abstract: The present invention pertains to a device, system, and method for evaluating the condition of a wooden structure by automated profiling of the hardness of the structure. More particularly, the present invention is directed towards a probing device comprising a blade coupled to a resistance mechanism and a mechanical sensor for measuring the hardness of wood in a structure; a system comprising such a device, and a computing device coupled to the device that outputs the hardness measurements of the device; and a method for operating such a device and determining the condition of wood by identifying changes in hardness in a wooden structure.

Abstract: The present invention pertains to a device, system, and method for evaluating the condition of a wooden structure by automated profiling of the hardness of the structure. More particularly, the present invention is directed towards a probing device comprising a blade coupled to a resistance mechanism and a mechanical sensor for measuring the hardness of wood in a structure; a system comprising such a device, and a computing device coupled to the device that outputs the hardness measurements of the device; and a method for operating such a device and determining the condition of wood by identifying changes in hardness in a wooden structure.

Abstract: The present invention pertains to a device, system, and method for evaluating the condition of a wooden structure by automated profiling of the hardness of the structure. More particularly, the present invention is directed towards a probing device comprising a blade coupled to a resistance mechanism and a mechanical sensor for measuring the hardness of wood in a structure; a system comprising such a device, and a computing device coupled to the device that outputs the hardness measurements of the device; and a method for operating such a device and determining the condition of wood by identifying changes in hardness in a wooden structure.

Abstract: A device for evaluating the internal dielectric behavior of a structure with a capacitive sensor and a method of using such a device. The device allows a user to measure the internal dielectric behavior of a wooden structure and to derive a density profile for that structure from the determined dielectric behavior. The condition profile allows the user of the device to locate regions of altered condition within a structure to determine whether that structure has suffered from internal decay, pre-rot, rot, or other forms of damage. The minimally-invasive device avoids the need for more damaging and destructive modes of analysis of the wooden structure and is able to provide accurate and repeatable measurements of the structure's density and moisture content, obviating the need for more complex and expensive equipment and techniques.

Abstract: The present invention relates to methods of performing precise measurements of utility poles, utility-pole attachments and connected spans for the purpose of load analysis, safety analysis, and related tasks using low density sparse LiDAR data to pre-compute the matrices required to perform precise photogrammetric analysis of utility poles, utility-pole attachments and connected spans as imaged by a camera with a known spatial geometry relative to a LiDAR sensor.

Abstract: A method for capturing information regarding utility equipment installed at a location comprises the steps of making a site visit to the location; recording voice narration about the utility equipment as the utility equipment is inspected by a narrator during the site visit; recording video of the utility equipment during the site visit; recording identification information for identifying the utility equipment; and entering attribute data corresponding to the utility equipment into a database, wherein the entered attribute data includes data derived from the recorded voice narration, the recorded video, and the recorded identification information. In an embodiment of the invention, the steps of recording voice narration, recording video, and recording identification information are performed simultaneously using a camcorder connected to a GPS receiver via an encoder such that location coordinates are recorded as audio frequency shift keying (AFSK) tones in an audio channel of the camcorder.