In the process of building a smart city, smart sanitation is an essential part of creating a smart city. Smart cleaning vehicles, as key tools to realize the intelligentization of sanitation, improve work efficiency, and service quality, play an indispensable role.

Smart cleaning vehicles integrate LiDAR, binocular vision, multiple sensors, high-precision positioning systems, and perceptual obstacle avoidance systems, achieving a comprehensive upgrade in cleaning performance, perception capabilities, and intelligent interaction. After receiving tasks, smart cleaning vehicles can perform full-cycle cleaning and all-weather self-service operations, greatly improving cleaning efficiency and reducing labor costs, which meets the needs of smart city construction for environmental protection, safety, and intelligent management.

The main control part of the smart cleaning vehicle is the core of the entire system, responsible for data processing, decision-making, and system control, and is usually placed in a complex outdoor environment, requiring the hardware to have high performance, high reliability, and stability.

It is recommended to use the Qiyang IAC-RK3588-CM core board, based on the RK3588 octa-core (four-core Cortex-A76 + four-core Cortex-A55) high-performance processor, with a clock speed of up to 2.4GHz, equipped with rich interface resources, supporting the connection of various sensors and communication modules, capable of realizing autonomous driving, automated cleaning, remote control, data collection and transmission, meeting the application needs of smart cleaning vehicles.

Smart cleaning vehicles need to process data from sensors in real-time to make quick decisions. The Qiyang RK3588 core board has a 6TOPS NPU, which can quickly process data and provide timely feedback. It also supports deep learning AI frameworks such as TensorFlow/MXNet/PyTorch/Caffe, using deep learning algorithms to enable smart cleaning vehicles to plan cleaning paths more intelligently, optimize work processes, and improve cleaning efficiency.

The core board supports input from four cameras, which can capture and transmit monitoring videos in real-time, meeting the needs for real-time and historical viewing to prevent the machine from being damaged and untraceable; it provides a 360° panoramic monitoring perspective, which can cover different angles of the cleaning area, facilitating the smart cleaning vehicle to fully understand the surrounding environment; the core board has a built-in 48M ISP image signal processor, which enhances image recognition algorithms, enabling the smart cleaning vehicle to identify different types of objects and automatically select different cleaning modes for more efficient and intelligent cleaning operations.

It supports interfaces such as M.2, PCIe, USB3.0, GPIO, I2C, UART, etc., which can realize the connection of functional modules such as temperature and humidity sensors, inertial sensors, communication modules, GPS, for sweeping area monitoring, vehicle motion state monitoring, providing precise positioning services, remote monitoring, etc.

It supports various display interfaces such as MIPI_DSI, HDMI, eDP, DP, and supports the display of four screens with the same or different content, which can meet the implementation of user interaction and advertising display functions.

Customers can choose commercial-grade or industrial-grade RK3588 core boards according to different usage scenarios, supporting Android Debian operating systems, to achieve rapid development and deployment of smart cleaning vehicle control systems.