With the continuous advancement of technology, machine vision technology is becoming a new engine for factory intelligence transformation. This article will reveal how machine vision can help factories achieve intelligent transformation and upgrade, significantly improve production efficiency, and achieve equipment flexibility.
Machine vision is a rapidly developing branch of artificial intelligence that simulates human visual functions for recognition and judgment, greatly improving the flexibility and automation level of production and manufacturing. A typical machine vision system includes components such as light source, lens, camera, image capture card, image processing software, control system, and actuators.
Machine vision can achieve basic functions including positioning, detection, recognition, measurement and other functions.
The positioning function in machine vision is to analyze and process the feature points in the image to achieve spatial localization of the target object, and then guide the actuator to perform corresponding movements at the corresponding points.
Machine vision detection function refers to obtaining the appearance information of the target object from the image, extracting the characteristics of defects, and then monitoring and identifying surface defects, blemishes, scratches, and other non-standard or abnormal conditions of the product.
Machine vision recognition function refers to analyzing the features in the image, such as text, shape, color, etc., to identify the category of the target object.
Machine vision measurement function refers to analyzing pixel information in the image, combining known camera parameters and calibration information, to calculate the actual size and spatial position of the target object.
Machine vision has many advantages that make it a valuable tool for modern industrial production and quality control.
Machine vision’s non-contact detection method can avoid secondary damage to the target object and improve the reliability of product testing. Machine vision can be widely used in long-time harsh working environments.
Equipped with precision instruments and high-precision image processing algorithms, machine vision systems can detect and identify objects with high precision, able to detect tiny defects and errors.
Machine vision systems are usually equipped with high-speed processors and optimized algorithms that can quickly process and analyze image information.
Machine vision systems can perform repeatable tasks according to preset programs and rules, which are not affected by emotions and fatigue, thereby improving work efficiency and accuracy.
Machine vision can exclude the interference of subjective factors of people and quantitatively describe the detection indicators, which is more objective. At the same time, it can quickly obtain a large amount of information, facilitate statistics and analysis, and easily achieve information integration.
The cost of machine vision systems is gradually decreasing, while significantly improving production efficiency and reducing labor costs. Therefore, in some application areas, they have obvious cost-effectiveness advantages.
SINO BRIGHT EXCEED actively invests in the application of machine vision field, establishes a machine vision laboratory, and conducts high-level basic and applied research in technical fields such as visual guidance positioning, inspection, measurement, OCR recognition, and other fields to improve the flexibility and intelligence level of equipment.
After multiple projects and technical challenges, SINO BRIGHT EXCEED has accumulated a large number of mature cases in the field of machine vision-related technologies. Our independently developed robot debugging function module can be integrated into the visual software, enabling direct debugging of robot movements within the visual software, replacing manual debugging, and providing convenient operation. The integration and fusion of visual software and robot debugging have greatly improved the efficiency of visual and robot cooperation debugging and reduced development costs.
The self-adaptive measurement and positioning function module can self-adaptively measure and locate materials of different shapes and sizes. It directly guides the execution mechanism to perform matching actions based on different material information without secondary programming, greatly improving the compatibility and production efficiency of the machine for various materials and achieving flexible production.
Visual dynamic positioning technology can guide various robotic arms to complete dynamic grasping and placement actions without stopping the production line, greatly improving the efficiency of machine operation.
The developed AOI appearance inspection equipment can replace manual visual inspection methods and automatically identify more than 80 types of appearance defects, greatly improving product inspection efficiency and reducing labor costs.
The comprehensive application of machine vision has added a new impetus to the intelligent transformation of factories.
