3D Models from Photos
The captured images of the subject being modeled, either through specialized aerial photography or ground-based photography. These images and their accompanying metadata are used as the basis for creating the 3D model.
Specialized software is used to process the images and extract 3D information from them. This includes identifying common points and features in the photos, and using them to create a point cloud or mesh model of the object or area.
3D Model Post-Processing
The point cloud or mesh model is cleaned and refined, and textures and colors are added to create a detailed and realistic 3D model. This model can then be used for various purposes, such as visualization, analysis, or simulation.
3D Models from Lasers
A specialized “light detection and ranging” (LiDAR) device is mounted on a tripod, vehicle, or aircraft and is used to scan the area of interest, capturing data points and their respective distances from the LiDAR device.
Once the data has been collected, it needs to be cleaned, organized, and processed to create a usable 3D model. This can typically involve steps like filtering out noise, aligning scans, and eliminating errors in the data.
The processed point cloud data is used to create a 3D model of the scanned area, which can be used for visualization, analysis, and measurement purposes. This process may require the integration of imagery data for a textured model.
Sensors in Everything
Internet of Things
Sensors & Devices
The physical devices that are connected to the internet and equipped with sensors that can collect and transmit data. Examples include smart thermostats, wearable fitness trackers, and industrial equipment.
The infrastructure and protocols that enable the sensors and devices to transmit data to other devices and systems. This includes both wired and wireless networks, as well as cloud computing platforms that store and process the data.
Data Analysis & Modeling
The software and algorithms that analyze the data collected, and use it to provide insights, automate processes, and trigger actions. This can include everything from simple data visualizations to complex machine learning models.
Data Processing & Storage
Infrastructure as a Service (IaaS)
The delivery of infrastructure resources, such as computing power, storage, and networking, over the internet. Customers can rent these resources on a pay-as-you-go basis and scale them up or down as needed.
Platform as a Service (IaaS)
The delivery of a platform for developing, testing, and deploying applications over the internet. Customers can use the platform to build and run their own applications, without the need to worry about underlying infrastructure.
Software as a Service (SaaS)
The delivery of software applications over the internet through a web browser, without the need to install it on a computer. SaaS applications are often delivered as a “cloud” service, with all infrastructure and platform resources provided.
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