For metal parts processing companies, improving production efficiency and product quality has always been a key issue that needs to be solved urgently. With the increasing transformation of the manufacturing industry towards intelligence and automation, traditional manual inspection and sorting methods have been unable to meet the high-speed and high-precision requirements of modern factories. In this context, Intsoft Tech independently developed a metal parts sorting system based on machine vision technology, bringing a new intelligent production solution to manufacturing companies.
The system uses a high-resolution 3D vision camera and advanced image processing algorithms to quickly and accurately detect and analyze the appearance characteristics of metal parts. Specifically, the system can identify and measure key parameters such as size, shape, surface defects, etc. of each part, and automatically classify the parts into corresponding collection containers according to preset sorting rules.
Advantage
Compared to traditional manual sorting, this metal parts sorting machine has the following unique advantages:
Extremely high sorting speed: The system can reach a processing capacity of 120 pieces per minute, greatly improving production efficiency.
Excellent sorting accuracy: Machine vision technology ensures 100% detection accuracy and eliminates errors in the manual sorting process.
Reduce labor costs: Automated sorting reduces dependence on human resources and effectively controls production costs.
Flexible production mode: The system can be flexibly configured and adjusted according to actual needs, and is suitable for multi-variety and small batch production modes.
Improve the working environment: Replace the tedious work of manual sorting and create a safer and more comfortable working environment for operators.
The core of the system is to use advanced machine vision technology for the full detection of metal parts. Specifically, high-resolution industrial cameras can quickly capture the appearance characteristics of each part, such as size, shape, surface quality, etc. 10 cm behind the detection area, there is a precise pneumatic kick device, which can quickly remove unqualified parts according to the analysis results of the visual system.
The sorting machine has a total of 4 detection and sorting positions, which can perform all-round scanning on the 4 faces of metal parts. In the early stages, the detection speed of the system is about 60 parts per minute. However, through continuous optimization of algorithms, deep learning and other means, the machine’s detection capabilities will be further improved. It is expected that after a period of debugging, it can achieve a high-speed processing capacity of 120 pieces per minute, and the detection accuracy can also exceed 99%.
Feature
The key to this intelligent sorting solution’s outstanding performance is that it uses advanced machine vision technology combined with a high-precision pneumatic kicking device. Specifically:
High-resolution 3D vision camera: The system is equipped with multiple high-end industrial cameras that can capture the appearance details of each part at an extremely fast speed, providing high-quality data input for subsequent image recognition and analysis.
Intelligent image processing algorithm: Based on advanced algorithms of deep learning and computer vision, the system can accurately identify and measure key indicators such as the size, shape, and surface quality of each part, providing a reliable basis for sorting decisions.
High speed pneumatic kick mechanism: 10 cm behind the detection area. There is a precise pneumatic drive device that can instantly complete the high-speed kicking of unqualified parts based on the analysis results of the visual system.
Multi-position all-round scanning: The sorting machine has a total of 4 detection and sorting positions, which can perform all-round scanning on the 4 sides of metal parts to maximize detection accuracy.
Deep learning optimization: The system will continue to collect and accumulate data during the sorting process, and continuously optimize the algorithm model through deep learning to improve the detection speed and accuracy.
With the perfect combination of machine vision and pneumatic kicking, this sorting machine can quickly and accurately complete the automatic detection and classification of metal parts. Compared with traditional manual sorting, it not only greatly improves production efficiency, but also avoids human errors, thus ensuring the stability of product quality.
Expansibility
At present, this type of design metal parts sorting system has been widely used in many industries, such as automobile manufacturing, mechanical processing, and electronic manufacturing, providing strong support for the intelligent transformation of manufacturing enterprises. Take a well-known automobile parts manufacturer as an example. After introducing our company’s sorting solution, its production efficiency has increased by more than 30%, and the product qualification rate has also increased significantly, greatly reducing the cost of rework and rework.
Intsoft Tech’s sorting system is also extremely flexible and scalable. Through modular design, customers can flexibly configure the system according to actual production needs to meet the production mode of multiple varieties and small batches. At the same time, the system also supports remote monitoring and data analysis to help companies achieve visual management and continuous optimization of the production process.
