ByteBridge Launches World’s First Mobile 3D Point Cloud Data Labeling Service

ByteBridge, a data labeling service operated on the Maro Blockchain has launched the world’s first mobile-based 3D Point Cloud data labeling service.

3D Point Cloud
3D Point Cloud is a collaboration of numerous dots (data points) spread throughout a 3D space, where data points are collected through sensors like LiDAR. The sensors emit light and calculate the time in which it takes to be reflected back into the sensor to create each dot. The collected dots are compounded to present a complete image as shown below.

3D Point Cloud is widely used for product development and analysis in fields related to architecture, aerospace, driving, traffic, medical equipment, regular consumer items, and more. The potential use cases and applications are only expected to increase in the future.
3D Point Cloud Market Size

Among the many industries that utilize 3D Point Cloud, the autonomous driving industry considers 3D Point Cloud one of its most important components… The market size of the autonomous driving industry is estimated to be around $7,100,000,000 in 2020. And, as it is foreseen to show an annual growth rate of 41.0%, the expected market size by 2035 is about $1,120,400,000,000.
The core technology in the autonomous driving industry is the sensor, where one of the most widely used sensors, LiDAR, has shown a 113% growth rate since 2020. LiDAR is expected to reach a market valuation of $1,700,000,000 by 2025. In tandem with the noteworthy growth of sensors, the 3D Point Cloud applications are anticipated to be broadened as well.
Reference: SAMJONG KPMG, IRS GROBAL
ByteBridge 3D Cloud Annotation Solution

The development of ByteBridge’s 3D Point Cloud solution was made possible by combining data pre-processing technology, data compression technology, mobile-based point cloud data rendering technology, and process management algorithm. The 3D Point Cloud labeling toolkit is the first of its kind in the world.
ByteBridge provides both 2D and 3D labeling services and is currently partnered with a car manufacturer C, and an autonomous driving solution developer Z. Beginning the 3rd quarter of this year, ByteBridge will be expanding its partnerships on a larger scale.
ByteBridge 3D Cloud Annotation Advantages
ByteBridge self-developed 3D Point Cloud labeling, quality inspection tool, and pre-labeling functions can complete high-quality and high-precision 3D point cloud annotation for 2D-3D fusion or 3D images provided by different manufacturers and equipment, and provide one-station management service of labeling, QA, and QC.

You Focus on Your Product, We Focus on Your Data
ByteBridge has massively improved upon the communication and management system efficiency of the current market whilst cutting down the cost. This has allowed us to offer our clients a much efficient yet cost-effective service.
End
As the quality of the labeled dataset determines the success of the self-driving industry, cooperation with a reliable partner can help developers to overcome the data labeling challenges.
If you need data labeling and collection services, please have a look at bytebridge.io
If you would like to have a look at the 3D point cloud live demo, please feel free to contact us: support@bytebridge.io
Source: Brian CHEONG( CEO of ByteBridge)
Relevant Articles:
1 What’s LiDAR and What’s 3D Point Cloud?
2 How Much Will We Get the Mass-production of Self-driving Car and How Long Will We Wait for?
3 Application of 3D Point Cloud in the Field of Automatic Driving
4 Three Reasons for the Growing Demand of 3D Point Cloud Data in Automatic Driving in 2021