Detection background

Machine vision inspection of packaging labels is used for quality control inspection and quality assurance of packaged items after packaging, and is widely used in the food, beverage, printing, packaging, pharmaceutical and medical device industries.
Machine vision inspection of packaging labels can quickly find packaging defects, label defects, code confusion, misprinted dates, misaligned labels, batch change errors, incorrect labels, surface contamination, date codes, serial numbers, shelf life and cosmetic defects, providing complete quality detection and automatic rejection. Strict quality control standards can be guaranteed and inspections can be completed faster than manual inspections.

Inspection principle

The imaging system is the most important part of the program. In this solution, the detection object is a barcode, which has a large shape and obvious features, so the camera does not require a very high resolution. However, this solution is a real-time processing design, so the speed of image acquisition and processing is required to be higher than the detection rate of the detection object, that is, the maximum frame rate of the camera is higher; and the imaging object is moving, in order to avoid the appearance of the captured image For problems such as blurring, a global electronic shutter camera should be used.

If the quality of the conveyed object is small, there is no need to consider too much the bearing capacity of the conveyor belt, and it does not involve the loading and disassembly of the product. Therefore, the ordinary belt conveyor belt structure is adopted, and the stepper motor drives the conveyor belt synchronous wheel as the A single-chip microcomputer is used to perform simple motion control on the stepper motor to control the transmission switch and speed of the conveyor belt. At the same time, in order to clearly distinguish the barcode of the mobile phone product from the background during image capture, the color of the transmission belt is dark black.

Features of visual inspection

1. It can realize more reliable product quality inspection and real-time monitoring, effectively avoiding subjectivity and individual differences in the manual inspection process;

2. The detection accuracy can reach the sub-micron level, breaking through the physical limitations of the human eye, and performing defect detection on products in terms of appearance, labeling, and integrity during the entire product life cycle;

3. Digital image processing and computer vision algorithms are continuously optimized to provide more extensive and efficient detection functions at the software system level, complementing the detection capabilities of machine vision hardware systems;

4. Avoid direct contact between inspectors and objects to be inspected, prevent objects from being artificially damaged, avoid the consumption of mechanical parts of the inspection system and maintenance costs; prevent objects from being contaminated;

5. The working environment using the intelligent visual inspection system can intelligently identify the workpiece according to the position and direction information provided by the visual inspection system, which is widely used in industrial manufacturing, biopharmaceuticals, textiles and packaging industries, expanding the flexibility of production and manufacturing;

6. It reduces the time for people to operate on site, effectively avoids the operator's hearing damage and physical function decline, and ensures the operator's personal life.

Our advantages

About Us

Development History

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 7 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Organization Structure