Here's a rewritten and improved version of the original text in English, with added content to meet the 500-character requirement and make it sound more natural and human-like: --- One of the most common questions we get is: **"How accurate is the 3D model I created using Elios 2 visual data?"** The answer isn’t straightforward because the accuracy of your 3D model depends heavily on the quality and precision of the data you used. However, there’s a general rule that applies to all 3D models built from visual data: **The theoretical maximum accuracy is three times the Ground Sampling Distance (GSD), which is the size of each pixel as it appears on the surface of the model.** Since the Elios 2 features a 4K camera, the best possible GSD you can achieve is 0.25 mm per pixel. That means the maximum theoretical accuracy for your 3D model would be around 0.75 mm, but we typically round this up to **1 mm** for simplicity and practical use. This video demonstrates how you can reach that level of accuracy when using reference points close to the objects you're modeling: [Embedded YouTube video placeholder] In the video, you’ll see an experiment conducted under ideal conditions—no backlight, non-reflective surfaces, and plenty of texture. The area modeled was small (about 0.5 m²) to allow for precise measurements of objects smaller than 5 cm. Two scale constraints and one orientation constraint were used to ensure accuracy. It’s important to remember that while 1 mm accuracy is achievable, it might not always be necessary or practical for every project. Your desired accuracy should be planned early, based on what you intend to do with the model. If you need high precision—for example, measuring the distance between two parts of an object—you should fly very close to the subject and collect the highest-quality data possible. But if you only need a general understanding of spatial relationships, you don’t need to go to the same level of detail. Here are some key factors that influence the accuracy of your 3D model: - **More reference points are needed for larger areas.** The more space you cover, the more scale constraints you should include. - **Proximity matters.** The closer you fly, the better the GSD and the higher the accuracy. - **Lighting is crucial.** Poor lighting or dust can reduce image quality, which affects the final model. - **Smooth flight ensures clearer images.** Avoid blurring by keeping the drone stable during flight. - **Reflective surfaces can be tricky.** They often lack texture, making it harder for photogrammetry software to match features. Ground Sampling Distance (GSD) is a critical factor in determining accuracy. It refers to the real-world distance between the centers of two adjacent pixels in your image. A lower GSD means higher resolution and better detail. The Elios 2 is designed to fly extremely close to objects, allowing for exceptional GSD performance. For instance, at a distance of 30 cm, it can capture images with a GSD of just 0.18 mm/px. Keep in mind that when using a fisheye lens, GSD varies across the image. Objects in the center have a smaller GSD (higher resolution), while those in the corners have a larger GSD (lower resolution). Accuracy needs vary depending on your use case. For land surveys, a lower accuracy may be sufficient, but for detailed indoor inspections, such as identifying defects in a duct, high accuracy is essential. Whether you’re creating a 3D map for volume calculations or inspecting structures, planning for accuracy from the start will save time and improve results. For more information on photogrammetry and the Elios 2, check out these resources: - [Webinar] Indoor 3D Modeling Use Cases: Photogrammetry in Action - [Webinar] Indoor 3D Modeling: Applications & Implications - [Article] Why use photogrammetry to build 3D models of indoor spaces - [Article] Building 3D models with Elios 2: How to acquire appropriate data for photogrammetry - [Article] Building 3D models with Elios 2: Processing data with a photogrammetry software Understanding how to optimize your workflow and data collection will help you get the most out of the Elios 2 and its powerful imaging capabilities.

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