Design and implementation of intelligent ball picking machine system based on STM32

With the continuous development of science and technology, the design of intelligent ball picking machine system based on STM32 has become a hot topic in the field of industrial automation. The system combines embedded systems, image processing technology and robot control algorithms to achieve the function of automatic ball picking and play an important role in the production line.


1. Ball Picking Machine System Architecture

The ball picking machine system consists of two parts: hardware and software. The hardware includes STM32 microcontroller as the main controller, a mobile device driven by a DC motor, a camera image sensor module for finding ping-pong balls, and an infrared detection and alarm module for obstacle avoidance. The software includes two parts: main program design and functional module analysis. The main program design involves the application of Ken uvision5 software, and the functional module analysis includes color recognition algorithm and obstacle avoidance program design.

2. Main Program Design

The main program design is the core of the ball picking machine system. It realizes the coordinated operation of hardware and software through Ken uvision5 software. The connection between the OpenMV3 module and the microcontroller, as well as the communication between the image sensor module and the microcontroller are realized through serial communication. The main program design uses the serial port interrupt mechanism of the STM32 microcontroller to achieve stable communication with the OpenMV3 module, thereby achieving accurate identification and control of the position of the ping-pong ball.

3. Functional module analysis

(1) Color recognition algorithm: Use the Lab color space for adjustment, and realize the recognition of the color of the ping-pong ball through binarization and row-by-row and column-by-column scanning. In practical applications, the Lab color space is adjusted to adjust the threshold of the orange ping-pong ball to ensure accurate identification.

(2) Design of the obstacle avoidance program: Utilize the infrared sensor module to avoid obstacles. When an obstacle is detected, the ball picker is controlled by the program to turn or stop accordingly to avoid collision.


4. System optimization and practical application

In practical applications, the ball picker system needs to be continuously optimized and adjusted to adapt to the work requirements in different scenarios. Enhancing the stability, accuracy, and efficiency of the system leads to an overall improvement in its overall performance. At the same time, combined with actual production scenarios, continuous practical applications are carried out, experience is accumulated, and the system design is continuously improved to make it more in line with actual needs.

In conclusion, there are many potential applications for the STM32-based intelligent ball picking machine system design in the field of industrial automation. It will give rise to a more reliable and effective automated production line solution through ongoing optimization and real-world implementation.It will offer a more reliable and effective solution for the automated manufacturing line through ongoing optimization and real-world use.