Fully Automated Beer Bottle Rejection Machine Quality Inspection Machine

Inspection background

In the process of beer brewing, there are many factors that affect product quality, such as raw material quality, craftsmanship, brewing technology, etc. In addition, bottle defects and dirt (bottle mouth, bottle body and bottle bottom) are also a key factor affecting beer quality. Therefore, the empty beer bottles must be tested before beer filling, and the unqualified products must be rejected before the beer filling can be carried out. At present, most breweries still use manual inspection of the quality of empty beer bottles, which is inefficient, slow and labor-intensive.

Machine vision is very suitable for measurement, inspection and identification in the process of mass production, and the application of linear array CCD in continuous and scanning online measurement is very advantageous. Using machine vision detection method can greatly improve production efficiency and production automation, and machine vision is easy to achieve information integration, which can greatly improve product quality and production efficiency.

Inspection principle of machine vision

Detection features for empty bottles

In the acquisition and processing of images, the system obtains images of the bottle mouth, bottle bottom and bottle wall through four cameras, and identifies and processes them. The results of image processing can be sent to the man-machine interface or communicated to the PLC. The human-machine interface communicates with the PLC of the bottle inspection machine, and can read and write the internal data of the PLC. The bottle is passed into the bottle inspection machine through the pressureless transmission unit, and the PLC of the bottle inspection machine combines the detection element and the encoder to finally achieve the result of rejecting the unqualified bottle.

According to the characteristics and requirements of beer empty bottle detection, in practice, the detection is mainly carried out in four aspects. The detection links and detection contents are briefly listed as follows:

• Bottle mouth detection: bottle mouth sealing surface detection, thread detection
• Bottle wall detection: detection of dirt on the inner and outer surfaces of the bottle wall, detection of wear and tear
• Bottle bottom detection: bottle bottom dirt, cracks
• Detection of residual liquid in the bottle: residual lye, residual oil, residual water

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

Developmenet Course

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 4 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Core Strengths