Create small-scale space mobile collection task
This article details the complete operational process for creating a small-scale space mobile collection mapping task, including task creation, data preparation, data upload, and mapping process explanation, helping users quickly fulfill mapping requirements for small-scale scenarios.
Create small-scale mobile collection task
Click the
Mobile collection taskbutton in the upper right corner.
In the pop-up dialog, enter the task name, select the mapping version and data format (recommended to use the latest version), set the collection method to
Space collection, and finally click theConfirm addbutton to complete the creation of the small-scale mobile collection task.
Data collection and export
For collecting small-scale spatial data using a mobile device, refer to the following for device configuration and key collection points:
Upload data
Click the
Upload databutton.

In the upload data window, complete the following configurations:
- Collection data: Select and upload files with the
.empsuffix. - EIF data: Special test data for remote verification of Mega effects and simulation positioning. This is optional and can be uploaded later.
- Upload region: Select the nearest region based on the operator's location.
- Collection data: Select and upload files with the
After completing the settings, click the
Confirm uploadbutton.
Start mapping
After the uploaded data passes review, it automatically enters the mapping process, with the status showing as Queuing or Generating. Mapping time varies depending on data volume, so please wait patiently.

Auxiliary functions
The following functions help you better manage and operate mapping tasks, improving work efficiency:
View uploaded files
Used to check whether uploaded mapping files are complete, avoiding mapping failure due to missing files.
Click the
View uploaded filesbutton, and check all uploaded file lists in the pop-up window to confirm whether files are fully uploaded.
Click a specific
.emp suffix fileto preview video content online, ensuring collected data quality meets requirements.
Upload EIF
EIF data is dedicated test data for remote debugging and simulation positioning in Mega, used for remote verification of Mega effects and supporting simulation positioning during remote development. It must be collected using specific tools. For detailed collection methods, refer to the EIF data collection guide.
Steps to upload EIF:
- Click the
Upload EIFbutton.
- Select the EIF data directory folder and click the
Confirm uploadbutton.
View uploaded data:
After uploading, click the View uploaded files button to view uploaded EIF files in the pop-up window, supporting Download and Delete operations.

Stop mapping
Before the mapping task is completed, if wrong data is uploaded or trajectory data does not match actual conditions, click the Stop mapping button, then click Confirm in the secondary confirmation pop-up to stop mapping.

Delete task
If the current mapping task fails to generate or is no longer needed, click the Delete task button to delete it. Click Delete in the secondary confirmation pop-up to complete the deletion.

Confirm mapping result
After the task enters the mapping process, the Task status can determine whether the mapping task is completed. When the status displays Task completed or Generation failed, it indicates the mapping task has ended.

Mapping success
When the task status displays Task completed, it indicates successful mapping and the mapping result is generated. Further check the mapping result to confirm if it meets expected requirements.
View mapping results:
Mapping failure
When the task status displays Generation failed, it indicates mapping failure. Recommended troubleshooting methods:
- View mapping report: View mapping report and find solutions based on report information.
- Reference troubleshooting: Consult the Mapping failure troubleshooting guide for solutions to common problems.
- Contact technical support: If the above methods do not resolve the issue, contact EasyAR staff and provide the
Task IDfor quick problem identification.