Key Takeaways

The Datavideo RMC-300A controller allows operators to configure initial AI tracking parameters such as tracking logic, tracking zones, and framing strategy.

The Joystick, Preset buttons, and exposure/white balance knobs are essential tools for controlling PTZ cameras during production.

What Is the Controller Workflow

When using the Datavideo RMC-300A controller together with Datavideo PTC series AI auto-tracking cameras, the workflow follows a hybrid control model.

This workflow combines touchscreen control and physical buttons, forming a Hybrid Control Workflow.

In this architecture:

• The AI tracking algorithm runs inside the camera (edge computing).

• The RMC-300A controller sends high-level commands and allows manual intervention when needed.

Step 1: Establishing the Connection (The Handshake)

Before the workflow begins, the camera and controller must be connected.

Physical Connection

The RMC-300A controller and PTC cameras must connect to the same network router via Ethernet.

Protocol Communication

The RMC-300A communicates using the Datavideo DVIP protocol.

This protocol allows the controller to send both:

• Motion commands (Pan / Tilt / Zoom)

• System commands (Enable or disable AI tracking)

Because DVIP is designed for camera control, it provides very low latency communication.

Expert Insight

During this stage, the RMC-300A scans the network and identifies the IP address of the PTC cameras.

Once the connection is established, the controller gains permission to activate or deactivate the AI tracking engine.

Step 2: AI Initialization

Before recording begins, the AI tracking system needs to understand its task.

Most parameters are configured in advance but can be adjusted through the controller.

Typical parameters include:

Tracking Logic

Configured in the camera’s OSD menu or Web UI.

Tracking Zone

For example, the podium area can be defined as the tracking start zone.

Framing Strategy

Operators may choose different framing modes such as:

• Full-Body Tracking

• Half-Body Tracking

Step 3: Activating the Autonomous Tracking Loop

Once the event begins, the camera and controller work together automatically.

Trigger Command

The operator presses Auto Tracking on the RMC-300A.

Command Transmission

The controller sends a DVIP command to the camera.

AI Processing Inside the Camera

The PTC camera performs several internal processes:

Image Analysis
The processor analyzes the image and detects human figures.

PID Calculation
The system calculates how far the subject is from the frame center.

Motor Control
PTZ motors adjust the camera position.

Result

The camera automatically follows the speaker without manual joystick operation.

Step 4: Human-in-the-Loop Override

Even though AI tracking is powerful, unexpected situations can still occur.

In these situations, the operator can intervene using the RMC-300A controller.

Detecting an Issue

The operator notices a problem on the monitoring screen.

For example:

• The camera tracks the wrong person.

• The framing is not ideal.

Interrupt Priority

The operator disables Auto Tracking on the controller.

Workflow Switch

The controller sends a manual movement command.

The PTC camera immediately pauses the AI tracking algorithm, allowing manual control.

The camera then follows joystick movement only.

Returning to AI Mode

When the operator releases the joystick or presses Auto Tracking again, the controller re-activates the AI system and the camera resumes automatic tracking.

Multi-Camera Workflow

The RMC-300A can control up to 24 cameras.

A typical multi-camera setup may look like this:

Camera 1 – AI Tracking Camera
Follows the main speaker.

Camera 2 – Wide Shot Camera
Provides a static wide view.

Camera 3 – Audience Camera
Operated manually using the joystick.

Expert Insight

The RMC-300A allows operators to quickly switch between AI cameras and manual cameras.

This represents the modern AI production workflow:

Let AI handle repetitive tracking tasks, while humans control creative camera movements.