AI Visual Inspection System For UPC Barcode 24Hours of Operation

Detection background

Safety is a top concern for consumers as well as any food or beverage manufacturer, and has a greater significance in the medical device and pharmaceutical industries, such as dates and batches are printed clearly and easily, with no additional markings, no false defects and perfect printing, Plus the packaging itself should be free of defects, damage, problematic labels or any other mix of quality issues. Through automatic visual inspection of machine vision, errors in the production process can be effectively checked. Compared with manual inspection, it not only reduces the error rate, but also greatly improves product productivity.

Artificial naked eye detection has low efficiency, missed detection, and high false detection rate. It is impossible to achieve real-time comparison of label detection data and system data for label visual detection. KEYE visual inspection system can realize off-line and on-line automatic inspection, high efficiency, standardized inspection of equipment, and eliminate missed inspection and false inspection. The inspection data can be compared with the system data. The label visual inspection scheme includes: font, pattern, and related data comparison , Barcode level detection, etc.

System parameters

Our design plan adopts multiple sets of high-pixel industrial cameras and high-performance stroboscopic light sources to carry out a full range of visual detection for the appearance defects of the bottle body.The equipment can realize 7*24 hours of operation, and the unqualified products can be automatically rejected online.

The whole set of detecting equipment includes mechanical parts, visual electronic hardware and detecting system software. The entrance and exit of the detecting machine can be integrated with the on-site conveyor line, and can be connected to the upstream and downstream production equipment according to the specific production needs of the customer.

Barcode identification scheme

• Width measurement method: In the decoding process of image mode, the traditional pulse measurement method is no longer used to measure the width, but the actual bar is determined by recording the number of pixels contained in the width of each bar or space. / Empty width, which determines the information represented by the entire barcode symbol.
• Average method: measure the entire width from the start symbol to the end symbol in the barcode symbol image, and then divide it by the 95 standard width to obtain the pixel column width contained in the unit module, and then measure the actual width of each bar space separately. Width is calculated in units of width
• Similar edge distance measurement method: The design idea of this method is to determine the logical value of the character by measuring the distance between the similar edges of adjacent elements in the symbol, rather than the actual measurement value of the width of each element.

After -sale service

The company has a complete technical service team and rapid response mechanism, and has dedicated service specialists for each customer, who can receive technical consultation and fault reports from customers at any time. And to ensure rapid response to customer emergencies, to ensure that customers receive satisfactory service.During the epidemic or due to special reasons, when after-sales engineers are unable to reach the site, the service center can remotely adjust customer equipment for troubleshooting and technical consultation.

After the equipment arrives at the customer site, the after-sales engineer arrives in time to carry out equipment installation, commissioning, and operation training. The product quality of the whole machine is traceable, and the quality warranty period is 1 year from the date of acceptance. In the event of non-human faults during the warranty period, after-sales engineers will quickly arrive at the site or provide remote guidance for free maintenance.

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

Visual Inspection Solution

Vision Applications

Cooperation Partners