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Limitations & Future Plans

Obstacles on 100% Open-Sourcedness​

Processing​

We opted for the Raspberry Pi as the processor unit for the headset due to its widespread availability, user-friendliness, and ease of assembly. However, it's important to note that the hardware itself is proprietary, which might be limiting for certain users. Additionally, Raspberry Pis have gained notoriety due to occasional stock shortages.

IMU​

Our current choice of IMU is SenseHAT, which is only compatible with Pis and will remain in production until at least January 2028 (see Obsolescence Statement).

Optical Combiners​

The optics, or optical combiners, are disassembled from a proprietary product purchased on Aliexpress. We are continually exploring alternative DIY solutions. Note that distortion shaders/parameters will require adjustment if there are changes to the optics.

Headset​

Display & Optics​

The current mechanical design is unfortunately flawed due to the limited available room to properly reflect the display's image onto the user's eye (See Optics). We did our best to eliminate the visual anomalies and distortions with the provided distortion shader code.

We are working on increasing the active area through a new mechanical design.

Bullseye​

We chose Bullseye as the version of Raspberry Pi OS. Here are the reasons behind this decision:

Tracking​

  • We did not use any existing frameworks, such as ARKit and ARCore, because of their lack of external camera/sensor support.
  • Vuforia does have external camera support, which can be achieved by creating a custom driver. It does not have Ground Plane tracking feature. We currently don't have any plans on working on adding support for Vuforia, but we are open to contributions.

Remote Client​

Windows​

Our primary support is geared towards the Windows OS on the remote client. This preference stems from our thorough testing and development endeavors aimed at achieving optimal performance and compatibility within the Windows environment. Nevertheless, we are open to contributions for other platforms.

Unity​

We chose to support Unity based on our experience, but we are open to contributions for other engines such as Unreal Engine, Godot, etc.

Hand Tracking​

To provide the users a better and more natural way to interact, we intend to implement 3D hand tracking using frameworks like Mediapipe.