“Reality capture: the future of engineering.”
Why reality capture?
After first recognizing the transformative capabilities of mobile mapping in the telecom market, EEAC identified the impact that 3D technology would have for a host of industries needing to improve productivity, efficiency, quality and safety. That culminated into both investing in technology that connects the physical and digital world and expanding its services to Geomatics, Municipal Services, and Reality Capture.
What is Reality Capture?
Reality capture refers to the process of creating a digital representation or model of the real world using various technologies. It involves capturing and collecting data from the physical environment, such as buildings, landscapes, objects, or even people, and transforming it into a digital format. This data is typically obtained through techniques like photogrammetry, laser scanning, or structured light scanning. By combining images, point clouds, and other data sources, reality capture enables the creation of accurate and detailed 3D models or virtual representations of real-world objects or spaces. These digital models can be used in a variety of industries and applications, including architecture, engineering, construction, archaeology, urban planning, entertainment, and virtual reality. Reality capture has revolutionized fields that require accurate measurements, visualization, and analysis of real-world objects or environments. It allows for enhanced design, simulation, and analysis capabilities, facilitating better decision-making and improving efficiency in various industries.
Trimble MX7 - 360 panoramic image collection vechicle
Leica LiDAR backpack
Data collection via Photogrammetry and LiDAR
Drone mapping has found applications in a wide range of industries, including agriculture, construction, mining, environmental monitoring, infrastructure inspection, forestry, and archaeology, among others.
Mobile Terrestrial Mapping
Mobile mapping technology relies on a range of sensors, including GPS, accelerometers, gyroscopes, and cameras, to gather data about the user’s location, movement, and surroundings. This data is then processed using advanced algorithms and machine learning techniques to create detailed maps and geospatial information.
Stationary Terrestrial Mapping
Stationary LiDAR scanning is an essential tool in many fields because of its ability to capture accurate and comprehensive 3D data quickly and efficiently, making it a valuable technology for various industries and applications.
We use the latest survey technology for precise image and point cloud capture and extraction