--- title: "How are panoramas counted in NavVis IVION?" slug: "how-are-panoramic-images-counted" description: "Learn how panoramic images enhance data accuracy and efficiency in scanning, optimizing your subscription while covering larger areas effectively." tags: ["Data Counting", "FAQ", "Panoramic Images", "Site Management", "Subscription Limits"] updated: 2026-06-15T14:48:11Z published: 2026-06-15T14:48:11Z canonical: "knowledge.navvis.com/how-are-panoramic-images-counted" --- > ## Documentation Index > Fetch the complete documentation index at: https://knowledge.navvis.com/llms.txt > Use this file to discover all available pages before exploring further. # How are panoramas counted in NavVis IVION? The different packages are limited based on the number of panoramic images that can be used in an instance. ## **Why use panoramic images instead of square meters?** The number of panoramic images in an instance represents the area that was intended to be scanned. Alternatively, the Point cloud-based calculation of square meters is often not as accurate, as extra points can easily be captured unintentionally. Counting panoramic images is also more economical when it comes to types of data that do not require a lot of panoramic images like outdoor and drone data, and data captured with a static laser scanner. This means can display a greater square meter area without using up too much of the subscription. ## **What panoramic images are counted towards your subscription?** Within each Dataset, only panoramic images that are two meters or more away from all other panoramic images are counted towards the subscription. This ensures that - The subscription limit does not affect dense scanning. You can still capture panoramic images every one meter for a natural walk-through experience on . - Only panoramic images containing new and therefore valuable building information are counted. Panoramas that are less than two meters apart are likely to show the same building information. The counting algorithm uses a hexagon-based logic to draw a 'honeycomb' across the data. Only one panoramic image is counted per hexagon (ca. 22 m 2). ![](https://cdn.document360.io/bf174766-fa1a-4fe1-a4d7-b1db1e7cb996/Images/Documentation/image-1706198922700.png) ## **How is the number of panoramic images converted to square meters?** To approximate the number of panoramic images to square meters we use a ratio of 1 panoramic image : 20 m2. However, in many cases one panoramic image covers more than 20 m2. Consider the following example of a factory with indoor data captured by a NavVis device and outdoor drone data. The factory has an area of approximately 1360 m2 and includes 61 counted panoramic images. Based on the ratio of 1 panoramic image : 20 m2 the factory is estimated to have an area of 1220 m2. The project, therefore, covers a greater square meter area than estimated by our metric. ![](https://cdn.document360.io/bf174766-fa1a-4fe1-a4d7-b1db1e7cb996/Images/Documentation/image-1706198965273.png) ## **How do I know how many counted panoramic images there are in my instance?** Panoramic images are counted per instance. To view the details of your subscription refer to the [Instance Management](/v1/docs/instance-management) screen. Once a dataset or Bundle is uploaded, you can see the number of counted panoramic images in the [Dataset Management](/v1/docs/dataset-management-1)screen. If the panoramic images in a dataset or bundle exceed the subscription limit, a warning message is shown and the dataset or bundle cannot be uploaded. ## **If I hide a panoramic image, does it count towards the subscription?** No, hidden panoramas are not included in the count. However, [hiding a panorama](/v1/docs/hiding-images) can lead to a nearby image being counted instead. ## **How do panoramic images relate to GB?** For scan data uploaded to an instance, we give a capacity of 6 GB for 50 panoramic images. > [!NOTE] > **Note:**Uploading other types of data like POI attachments will increase the amount of GB consumed. --- ### FAQ #### What are the limitations of the different packages? The different packages are limited based on the number of panoramic images that can be used in an instance. #### Why should I use panoramic images instead of square meters? Panoramic images provide a more accurate representation of the scanned area, while point cloud-based calculations can capture extra points unintentionally. #### How are panoramic images counted towards my subscription? Only panoramic images that are two meters or more away from each other are counted towards the subscription. #### How is the number of panoramic images converted to square meters? The ratio used is 1 panoramic image to 20 m2, but often one panoramic image covers more than 20 m2. #### How can I check the number of counted panoramic images in my instance? You can view the number of counted panoramic images in the Dataset Management screen after uploading a dataset or bundle. #### Do hidden panoramic images count towards my subscription? No, hidden panoramas do not count towards the subscription. #### How does the number of panoramic images relate to GB usage? For scan data uploaded to an instance, the capacity is 6 GB for 50 panoramic images. #### Can I store unlimited panoramas in NavVis IVION? No. Panorama storage in NavVis IVION is limited by your subscription. Each subscription package has a maximum number of counted panoramic images. If a dataset exceeds the subscription limit, a warning displays and the data cannot be uploaded. To check your current usage, go to the **Instance Management** or **Dataset Management**screen. A three-dimensional representation of an environment, made up of many points. A point is defined by x, y and z coordinates, and it may or may not contain RGB, an intensity value, and normals. A dataset is a piece of a site, the result of a continuous recording with a NavVis mapping device or the result of an imported point cloud. Datasets can contain panoramic images and point clouds. Bundles, specifically referred to as Alignment Bundles in NavVis IVION, are collections of related datasets that have been grouped together after being aligned. The primary purpose of creating an alignment bundle is to save the relative locations of these datasets to each other, enabling coordinated management and use within the system Point Of Interest