The Measure app uses augmented reality (AR) to turn your device into a virtual tape measure. It allows you to accurately measure the dimensions of objects, automatically detect the size of rectangular objects, and even measure a person’s height with visible guides. With the 4th generation iPad Pro 12.9-inch, 2nd generation iPad Pro 11-inch, iPhone 12 Pro, and iPhone 12 Pro Max, measuring objects is even more convenient. You can also access your measurement history.
We have used this technology to measure flying objects in recorded videos in real-time, and achieved remarkable results.
Traditionally, topographic surveying in earth sciences requires high financial investments, elaborate logistics, complicated training of staff and extensive data processing. Recently, off-the-shelf drones with optical sensors already reduced the costs for obtaining a high-resolution dataset of an Earth surface considerably. Nevertheless, costs and complexity associated with topographic surveying are still high. In 2020, Apple Inc. released the iPad Pro 2020 and the iPhone 12 Pro with novel build-in LiDAR sensors. Here we investigate the basic technical capabilities of the LiDAR sensors and we test the application at a coastal cliff in Denmark. The results are compared to state-of-the-art Structure from Motion Multi-View Stereo (SfM MVS) point clouds. The LiDAR sensors create accurate high-resolution models of small objects with a side length > 10 cm with an absolute accuracy of ± 1 cm. 3D models with the dimensions of up to 130 × 15 × 10 m of a coastal cliff with an absolute accuracy of ± 10 cm are compiled. Overall, the versatility in handling outweighs the range limitations, making the Apple LiDAR devices cost-effective alternatives to established techniques in remote sensing with possible fields of application for a wide range of geo-scientific areas and teaching.
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This is the application you need. The phone you use every day can now become the best launch monitor – right from your pocket.
“All the data you see is provided in real-time from the video feed. We are constantly improving our algorithms to enhance the accuracy of the measurements.
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