In the food packaging industry, aluminum foil bags are widely used in snack foods, condiments, frozen foods, and related sectors due to their excellent barrier properties and preservation capabilities. However, under high-speed production conditions, inkjet printing often encounters issues such as missed printing, blurring, incomplete patterns, and positional deviations. Traditional manual sampling methods face three major challenges:
✔ Manual inspection speed can not keep up with high speed production line (usually 200-300 bags/min)
✔ Long working hours are easy to cause visual fatigue and high detection rate
✔ The simultaneous operation of multiple packaging machines requires the allocation of a number of quality inspectors, which is costly
Innovation solution: one drag three intelligent inkjet detection system
Our aluminum foil packaging bag one drag three inkjet detector can achieve:
One testing machine is connected to three bagging machines/packaging machines at the same time, greatly reducing the cost of equipment input
High speed detection of 200-400 bags/min (speed can be customized according to demand)
Three core strengths
1. Cost control
-Compared with the traditional "one machine, one inspection" mode, the equipment investment cost is reduced by 60%
-Reduce 2-3 quality inspection personnel, save annual labor cost of 150,000-250,000 yuan
2. High detection accuracy
-Using 5 megapixel industrial camera, the detection accuracy is up to 0.1mm
-The deep learning algorithm automatically adapts to the surface of aluminum foil with different reflective materials
3. Seamless system docking
-Provide standard Ethernet interface for rapid access to existing production lines
Typical application scenarios
Case 1: A large food enterprise in Guangdong
-Before application: 3 bagging machines need to be equipped with 6 quality inspectors, and there are 5-8 complaints about ink spraying every month
-After application: 1 detection machine covers 3 equipment, and customer complaints are reduced
Case 2: Leading leisure food enterprise
-Achieve 200 bags/min detection
-The automatic rejection rate of defective products is 99.9%
Make sure every bag of food has a perfect identity tag!