The Main Distribution Frame is offered with compact size from 10pair (for 1 piece 10 pair disconnection krone module) to 2400 pair. For the installation, there are surface mount, floor standing, pole mount three ways for different application. Outdoor and indoor type is on option. Typically, the outdoor box is equipped with an airtight and watertight cover that allows for easy access to the interior components, making it easy to inspect and replace those components when and as necessary.
For different application and clients, we have the Main Distribution Frame made of ABS, PC, SML and CRC sheet with powder coating to match up with different requirements for indoor and outdoor installation. Besides, we have other MDF(Main Distribution Frame) made of stainless steel for 690pair/1200pair/ 1380pair and 2400pair.
Telecommunication Cabinet, Distribution Open Racks, Krone Module Distribution Box, Outdoor Distribution Box, Cross Connection Box, SMC Distribution Box, Power Distribution Box, Electrical Distribution Box, Optical Distribution Box NINGBO YULIANG TELECOM MUNICATIONS EQUIPMENT CO.,LTD. , https://www.yltelecom.com
Compared with the positioning schemes such as Lighthouse Laser, Big VR and Oculus Constellation, who is the strongest VR positioning?
The positioning of space is a fundamental element in VR technology. Currently, several systems are widely recognized for their performance, including Oculus’ Constellation infrared camera-based positioning, HTC/Vive’s Lighthouse laser system, and Da Peng VR’s beacon-based solution. Although these systems all rely on PnP (Perspective-n-Point) algorithms, each has its own strengths and limitations depending on the environment and use case. In this article, I’ll break down how each works and explain why some might be better suited for certain applications.
Oculus’ Constellation system uses cameras to track the position of LEDs on the headset and controllers. These LEDs flash in a specific pattern that the cameras can detect. The system captures images at 60fps, and by analyzing the 2D positions of the LEDs along with the known 3D model of the device, it calculates the exact location and orientation in 3D space. This process involves solving a PnP problem, where the system estimates the 3D coordinates and rotation based on the 2D image data and camera parameters.
To ensure accuracy, the LEDs are designed to blink in a unique pattern, which helps the system distinguish them from ambient light or other interference. The camera itself only needs grayscale information, so the image resolution is kept low (752x480 pixels in Y8 format). For accurate tracking, at least four LEDs need to be visible in the frame, which is why the headset is covered with many LED points.
One challenge in this system is handling errors caused by fast movement or occlusion. To address this, the system fuses data from the IMU (Inertial Measurement Unit) with the optical tracking data, resulting in more stable and accurate pose estimation.
While the camera-based approach is cost-effective and easy to set up, it has limitations. High-speed movement can cause tracking errors, and natural light can interfere with the signal. Additionally, the resolution of the camera limits precision—Oculus’ original camera was only 720p, making sub-millimeter accuracy difficult.
On the other hand, laser-based systems like HTC’s Lighthouse and Da Peng VR offer higher accuracy and faster response times. The Lighthouse system uses two base stations that sweep lasers in horizontal and vertical directions. By measuring the time between the laser pulses and the sensor’s response, the system can calculate the exact position of the headset and controllers in real-time. This allows for room-scale VR experiences with minimal latency.
Da Peng VR further improves on this by adding a third motor per base station, allowing for more frequent scans and reducing the number of sensors needed. This not only increases stability but also simplifies the design of the headset and controllers. With updates every 4 milliseconds, the system can provide smoother and more responsive tracking during gameplay.
Both systems support multiplayer environments and large spaces, making them ideal for applications like VR arcades or educational settings. While the infrared-based systems are more affordable, laser-based solutions excel in accuracy, speed, and scalability.
In conclusion, while each VR positioning method has its pros and cons, laser-based systems like Lighthouse and Da Peng VR offer superior performance for immersive, multi-user experiences, especially in larger environments. Whether you're a casual user or a developer building complex VR applications, understanding the differences between these technologies can help you choose the best option for your needs.