LidarAC Support

Last updated: April 9, 2026

Who is LidarAC for?

LidarAC is designed for camera crews and focus pullers working with Tilta Nucleus systems, using LiDAR distance data as an additional focus reference.

Core setup

  • The app has two roles: RX and TX.
  • Recommended setup is 2 iPhones: one TX, one RX.
  • TX requires a LiDAR-capable Pro iPhone (iPhone 12 Pro or newer).
  • Connection is local via Wi-Fi / peer-to-peer networking.

Quick start

  1. Open the app on both devices and choose roles.
  2. On RX, search and connect to TX.
  3. Open Camera View and choose the required mode.
  4. Create camera/lens profiles if needed.
  5. Restart tutorial anytime from Advanced.

Features

  • LiDAR point cloud with live synchronization to focus distance.
DoF calculation (what / why / how)

What it provides: DoF display visualizes the apparent sharpness range around the focus distance, helping with practical focus pulls and safety margin decisions.

How it is calculated: Focus distance, focal length, T-stop/F-stop, and circle of confusion are combined to derive near/far DoF and hyperfocal behavior.

Why camera profile is required: Camera profile defines sensor/CoC-relevant context. Without it, DoF output is only approximate.

Lens profiles

Lens profiles map Nucleus values to practical focus distances using calibration points across the usable range.

For zoom lenses, zoom mapping is important to keep distance/DoF behavior consistent over focal length changes.

Projection modes

Line: elongated readout, better for scene overview and scrolling through depth.

Circle: compact, traditional wheel-like reading style.

Linear scale: visually even depth spacing, easy to interpret.

Lens scale: calibrated lens-like spacing; more practical behavior, less visually uniform spacing.

Markers and haptic feedback

Markers provide repeatable distance reference points on the scale for key focus positions.

Haptic feedback supports pull timing by increasing intensity when approaching defined target ranges.

Modes

Subject: Detects people and prioritizes eye/face/body targets depending on distance and scene conditions.

Spot: Measures distance at a fixed point. Move the crosshair in Camera View to sample a specific image position.

Nearest: Returns the shortest valid distance inside a defined area. Measurement box, deadzone, and minimum distance help reduce outliers.

Track3D: Anchors a point in 3D scene space. Very stable for static objects while camera position changes.

Track2D: Tracks a selected 2D image region with a rectangle in Camera View.

Common issues and practical limits

Very short distances or partially blocked sensor

If the LiDAR sensor is partially covered or used at extreme close range, invalid values around about 0.6 m can appear.

Long-range distances

Above roughly 15 m, practical reliability drops significantly. In general, precision decreases as distance increases.

Jumping values near boundaries

At edge regions (for example side profile of a face), sampled points may land outside the desired region and cause distance jumps.