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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 on the quality of the data you used. However, there's a general rule that applies to all photogrammetry-based models:
**The theoretical maximum accuracy is three times the Ground Sampling Distance (GSD).**
Since the Elios 2 uses a 4K camera, it can achieve a GSD as low as 0.25 mm per pixel. This means the maximum theoretical accuracy of a 3D model built with this device is about **1 mm**, which is a very high level of precision for indoor mapping.
To see how this works in practice, check out the video below, where we demonstrate how scaling the model using reference points helps achieve this level of accuracy.
[Embed video here]
In the experiment, we worked in ideal conditions—no backlight, non-reflective surfaces, and plenty of texture. We focused on a small area (about 0.5 m²) to capture objects smaller than 5 cm. We also used two scale constraints and one orientation constraint to ensure the model was properly scaled.
It’s important to note that while 1 mm accuracy is possible, it may not be necessary or practical for every project. The level of accuracy you need should be determined based on your specific use case.
For example, if you're inspecting a weld or bolt and need precise measurements, you’ll want to fly close to the object and collect high-quality data. But if you just need a general overview, you can fly farther away and still get useful results.
Here are some key considerations for ensuring accuracy in your 3D model:
- **More reference points are needed for larger areas.** The more surface you cover, the more scale constraints you’ll need.
- **Proximity matters.** The closer you fly, the better the GSD, and the more detail you'll capture.
- **Lighting and environmental conditions affect image quality.** Poor lighting or dust can reduce accuracy.
- **Smooth drone movement is essential.** Blurry images lead to less accurate models.
- **Reflective surfaces are harder to map.** They provide fewer features for the software to match.
Ground Sampling Distance (GSD) plays a crucial role in determining accuracy. As the camera gets closer to the object, GSD decreases, meaning each pixel represents a smaller real-world distance. This leads to higher resolution and more detailed models.
Thanks to its unique cage design, the Elios 2 can get extremely close to objects, making it ideal for capturing high-resolution data. For instance, at a distance of 30 cm, it can achieve a GSD of 0.18 mm/px.
Keep in mind that while high accuracy is great, it often comes at the cost of time and effort. If you don’t need extreme precision, flying farther and covering more ground might be more efficient.
Finally, always consider your use case. A land survey may require lower accuracy, but an industrial inspection might demand millimeter-level precision.
If you're interested in learning more about photogrammetry and the Elios 2, check out our webinars and articles for in-depth guidance.
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ShenZhen Jakeconn Precision Technology Co., Ltd. , https://www.jakeconn.com