As an important part of the national economy, the construction industry has become a key force in improving the production efficiency of construction, ensuring construction safety, and reducing labor costs while the demand for intelligent construction industry grows.

The building measurement robot has the characteristics of high precision, intelligence and automation. It is a highly integrated measurement platform that integrates automatic target recognition, automatic aiming, automatic angle and distance measurement, automatic target tracking and automatic recording, which can significantly improve the efficiency and accuracy of building measurement.

During operation, the building measurement robot uses a variety of core algorithms to ensure efficient and accurate execution of measurement tasks. These algorithms mainly include path planning algorithms, which achieve obstacle avoidance and ensure that the robot can reach the measurement target efficiently; image processing and computer vision algorithms, by analyzing visual information such as building components, markers and obstacles, the algorithm can perform image recognition, edge detection and feature extraction, so that the robot can better understand the environment and provide a basis for subsequent measurement and decision-making; at the same time, data processing and analysis algorithms, integrate data from different sensors (such as lasers, cameras, IMU, etc.) to improve the accuracy and reliability of measurement.

The RK3588 core board produced by Qiyang has an eight-core 64-bit processor with powerful computing capabilities. It can efficiently perform multi-task processing, such as path planning, data collection, environmental perception, etc., to achieve more intelligent measurement operations.

With built-in 6 Tops NPU, it supports high-precision positioning algorithms, path planning and obstacle avoidance algorithms, data processing and analysis algorithms, etc. The building measurement robot can perform efficient image recognition, deep learning, data fusion and other tasks, provide accurate positioning, dimension measurement and shape analysis of building objects, and improve overall work efficiency.

It supports MIPI-CSI interface, which can be flexibly connected to the camera; supports MIPI_DSI, HDMI, eDP, DP and other display interfaces, and standard I2C capacitive screen interface, which provides the readability and operability of measurement information, provide a good human-computer interaction experience, and promote more efficient on-site operations.

It supports 2-ch Gigabit Ethernet and WiFi, and can be connected to an external 4G/5G module, providing good communication and data transmission capabilities, flexibly responding to various measurement environment, and ensuring the timely and reliable data transmission.

The core board has an industrial grade option, which can work stably even in complex outdoor environment.