Soda Bottle Inspection System For Food Beverage Prodction Line

Inspection Principle

Judging from the existing pharmaceutical manufacturing enterprises, they are all developing at a relatively rapid rate. The speed of mergers and reorganizations in the pharmaceutical industry has accelerated. Such a speed of development will put forward higher requirements for the production capacity and product quality of pharmaceutical packaging companies. Changes in external market demand will promote the development of pharmaceutical packaging in the direction of large-scale development, which poses a great challenge for pharmaceutical packaging companies.

The design plan for our company is equipped with 6 sets of 200W pixel black and white industrial cameras, a cap organize machine to realize a full range of defect detection on the concave, trademark and side of the bottle caps. The normal detection speed is 500 pieces per minute; The front part of the detection machine can be equipped with a set of organize conveying equipment to transport the bottle caps into the detection equipment in a regular and orderly manner. The detection equipment is divided into 3 major detection system modules: the first module is to realize the defect detection function in the concave and the side of the cap.

Detection software function:

1. Camera image calibration function
2. The system displays real-time production information (qualification rate, total production, speed, etc.), historical production information browsing, export and save functions.
3. Permission management based on the login account (such as general operation users disable parameter adjustment permissions)
4. Operation and adjustment of the mechanical part of the system.(Such as open the transmission device, the adjustment of the air valve blow time, and the adjustment of the alarm signal)

The pictures of the collected samples are as follows (reference pictures):

Machining Process

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