Machine Vision Inspection Technology: Wide Range of Applications

Machine vision inspection technology comprehensively uses automation technology, electronic technology, photoelectric detection, image processing, and computer technology, bringing machine vision into industrial inspection. This allows for rapid measurement and inspection of product three-dimensional dimensions, position, defects, and other characteristics. Compared to manual inspection, machine vision inspection is more efficient, cost-effective, safe, and stable, has high flexibility and strong adaptability, and can provide reliable quality assurance.

Basic Principles of Machine Vision Inspection Application

When the sensor detects that the target object has moved to the center of the industrial camera lens, the linked image acquisition card, along with the pre-set program and delay, transmits the signal to the light source and camera system. With the appearance of the start pulse, the camera acquires a new image and then waits for the next start pulse to collect the next set of images. The image acquisition card receives the image signal, converts it into a digital signal, and stores it in the computer memory. Analysis, recognition, and comparison are performed based on pre-set algorithms to obtain the required inspection results. Based on these results, further production actions on the production line are controlled.

Application Scenarios of Machine Vision Inspection

Machine vision inspection is not just about obtaining images that are difficult for the human eye to recognize. More importantly, it processes the extracted information from these images, then understands and analyzes it, and finally applies it to the industrial production site.

Scenario 1: Quality Defect Inspection

Industrial machine vision system can be used to detect surface defects, scratches, and bumps on products, or to inspect the filling status of drugs and food in the pharmaceutical and food industries.

Scenario 2: Dimension Measurement

Industrial machine vision system can calculate the distance between two or more points on a product and determine if it meets the standards. Compared to manual measurement, machine vision measurement can achieve micron-level precision and process efficiently. Its notable high flexibility, strong adaptability, and non-contact nature make it suitable for extreme conditions such as high temperatures, high pressures, and dangerous environments.

Scenario 3: Feature Recognition

Industrial machine vision system can recognize barcodes, QR codes, characters, etc., on products, which helps efficiently collect and trace data. For example, in logistics, food, and pharmaceutical industries, using industrial machine vision system to recognize packaging barcodes enables rapid sorting; in the automotive manufacturing industry, recognizing QR codes on parts helps acquire part numbers, production batches, dates, workshops, etc., to efficiently control the production process and ensure product quality traceability.

Scenario 4: Positioning

Industrial machine vision system can locate the coordinates and position of the object being measured, used for aligning and fitting parts, as well as guiding robotic arms to pick and place materials. This reliance on machine intelligence for judgment and operation saves labor costs and realizes production automation.