AI Algorithm Vision Machine Electrolytic System For Bottle Liquid Level Testing

AI Algorithm Vision Machine Electrolytic System For Bottle Liquid Level Testing

Design Principle

The market demand for mineral water continues to increase, and customers have higher and higher requirements for product quality. Enterprises also pay more attention to brand building. More and more mineral water manufacturers have begun to use bottle cap liquid level coding detection systems.
OCR visual inspection of the bottle cap position, liquid level and coding of mineral water bottles replaces the traditional manual inspection, thereby rapidly improving production efficiency and product quality, and solving the low efficiency, slow speed, and missed inspection errors of human inspection. The disadvantages of high detection rate, as well as false detections and missed detections caused by uncertain factors such as subjectivity constraints of the testing personnel, achieve better online product testing

• The core algorithm of image processing. After a long-term accumulation of industry experience, the original program developed based on the C++ language has been continuously upgraded and improved, and the operation is more stable and fast.
• Complete functional modules. Fully consider the functions used by customers on site, and reserve interfaces in the operation interface, which is convenient for adding later.
• One-click sampling, recipe management. The system completes the initial recipe learning based on all the samples provided by the customer, and the later new recipes are simple and easy to learn, and the sampling process is completed with one click.
• Customers only need to call out the corresponding formula when changing production and changing products, no other operations are required.

System functions&details

System Advantage

Machining Process