Pic to Point connects your 3D model and your drone photos. Click a spot on your model to see every photo that captured it. Or click a spot in a photo, and the 3D view flies to that spot on the model.
Available on plans that include 3D and with Birdi processed data only.
Pic to Point works on:
3D models
Point clouds
Elevation layers
Maps processed with a vertical datum, such as GDA2020 / MGA zone 54 + AHD
When to use Pic to Point
To inspect a defect, such as rust, a crack or damage, in the original high-resolution photos
To check whether something on the model is real or a processing artefact
To find the best photo of a specific asset for a report
To see where a photo was taken and what it was looking at
Step-by-step: finding photos from your 3D model
1. Open your map in 3D
Click 3D in the view bar, or press 3.
2. Select Pic to Point
Click Pic to Point in the top toolbar.
3. Click a spot on your model
Click the spot you want to inspect. A marker appears on the model, and the details panel lists every photo that captured that spot, for example “177 photos show this point (27 may be hidden)”.
shows the photo’s camera cone on the 3D model
marks your spot in the photo
shows how far the spot was from the camera
A circle on each thumbnail shows where your spot sits in that photo.
Use the arrows at the top of the panel to step through the photos. Click the grid icon to go back to all photos.
What does “may be hidden” mean? Some photos point at your spot, but something blocks their view, such as a roof or tree canopy. Birdi flags these so you know which photos actually show it.
4. Open a photo grid
Click a tile icon to open the photo grid. Double click a photo to view the hi-res version.
Starting from 2D
You can also start from the 2D map:
Choose Pic to Point from the toolbar, or
Right-click a photo and select Show on 3D model
Birdi switches to 3D for you.
Note: Pic to Point turns off when you switch back to 2D.
Why is Pic to Point greyed out?
Pic to Point uses camera data from Birdi’s latest processing. On maps without it, the Pic to Point icon is greyed out.
To use Pic to Point, process your drone photos with Birdi.
Step-by-step: tagging objects in a photo
Once you’ve found the right photo, you can tag what you see in it, such as rust, water damage or broken brickwork. Your tags stay with the photo, so your team can find and review them later.
1. Open the annotation tools
With a photo open, click the AI tag icon in the photo toolbar. This opens the Annotations tab below the photo and the tool strip beside it.
2. Choose a label
Under Label new boxes as, pick a label from the list or start typing to create a new one.
3. Tag an object
Choose one of two ways to tag:
Draw a box: Select the Box tool, then click two corners or drag to draw a box around the object.
Click-based detection: Select the click-based detection tool, then click the object. Birdi detects the object and boxes it for you. [CONFIRM] Is this the hand icon, and is that how it behaves?
Each tag shows its label on the photo and is listed under Annotations below.
4. Update several tags at once
Choose the Select tool.
Hold Shift and click each box you want to change.
In the selected pop-up, choose a new label from the drop-down, or click the bin icon to delete them.
5. Jump to a new point on the model
Pick the Pic to Point tool from the tool strip, then click anywhere in the photo. The 3D view flies to that spot, so you can find the next set of photos without leaving the panel.
6. Manage your tags
In the Annotations tab, you can:
show or hide a tag with the eye icon
change a tag’s label with the edit icon
delete a tag with the bin icon, or remove every tag with Delete all
turn Display annotation labels on or off to show or hide labels on the photo
Tip: Use the same labels across your photos, such as Water damage or Broken Brickwork. It makes your tags easier to search, count and report on.
Best practice tips
Start from the model when you’re inspecting a defect, then review the closest, clearest photos first.
Check the “may be hidden” count. Those photos may not actually show your spot.
Use the distance from the camera to choose the most detailed photo.
Use AI Detect or annotations on the photo to record what you find.