Keyword search
Popular searches:
Error
An error occurred during the request.
Nothing was found
Try to change the query
.png)
Issue / Problem
During PET preform production, defects may occur due to unstable operation of injection molding machines, raw material feed, and pigment feed.
Without real-time monitoring, defects are detected too late. This increases the amount of manual sorting and hinders quick identification of root causes.
Solution
We developed the Kvantron Preform Inspection Machine for automatic quality monitoring of preforms during manufacturing.
The system is integrated into the packaging conveyor and uses industrial vision, specialized lighting, and defect analysis algorithms.
It enables detection of serial defects and fast decision-making for corrective actions.
Key Features:
- In-line preform inspection right in the production flow
- Detection of multiple defects on a single preform at the same time
- Detection of defects as small as 0.1 mm
- Control of 70–85% of the flow in each product dump
- Various configurations — from 2 to 6 cameras depending on the task
.png)
.png)
Results
- Reduced defective output thanks to real-time monitoring
- Reduced the volume of manual box sorting
- Accelerated root cause analysis of defects by product types and shifts
- Obtained analytics for contamination, bubbles, runners, color and other defect types
- Created a foundation for scaling quality control to other types of transparent packaging
Technical Details:
- The system uses several technical vision cameras, background lighting, IR and polarization lighting modes.
- It detects contamination, bubbles, short shots at the neck, crystallization, color deviations, enlarged injection point, condensation, and internal stresses.
- Minimal configuration is suitable for transparent and semi-transparent preforms.
- Advanced configurations use color cameras, segmented tables, and IR lighting.
Other cases
-
How We Automated Tyre Labelling for PJSC "Nizhnekamskshina"
.png)
Result:
- Automated SKU identification and production statistics collection
- Reduced labeling workload by minimizing manual labor
-
Track & Trace System "Chestny ZNAK" for AO "Taneko"
.jpg)
Result:
- Automated the labeling processes in production
- Ensured reliable application and reading of codes in oil/fat environments
-
Automated Final Inspection of Slot Filters for Alfa-Gorizont
.jpg)
Result:
- Reduced inspection time from over 2 hours to about 10 minutes per filter
- Automated control of more than 4000 slots on a single product
-
Rapid Filter Slot Gap Monitoring for NPK “Filter”
.png)
Result:
- Automated control of critical parameter on the line
- Reduced production setup and preparation time
-
Unified Marking System for Rosneft-Lubricants
.jpg)
Result:
- Automated marking across all production sites
- Solution deployed at 3 key enterprise sites
-
Chestny ZNAK Labeling for 5 Rusagro Sites
.jpg)
Result:
- Over 90 lines equipped at oil and fat production sites
- Labeling at speeds up to 18,000 units per hour with no loss of productivity
-
Chips Marking for the Moscow Potato Factory
.jpg)
Result:
- Automated mandatory product marking in production
- Reduced capital expenditures by utilizing existing equipment
-
Paper Web Monitoring System for Kama PPM
.png)
Result:
- Reduced breaks through earlier identification of causes
- Increased output due to shorter downtimes
-
Laser Thickness Control of Flexible Shingles for Shinglas Plant
-(1).png)
Result:
- Over 15% defect reduction thanks to instant thickness deviation detection
- Up to 7% raw material savings by maintaining thickness within tolerance
Service & Support
Need help? Contact us in any convenient way.
-
+7 (4912) 72-22-701.
Call
Support specialists are available around the clock and are ready to help with any questions.
-
2.
Message Us
Message us on Telegram. We will reply shortly.
-
Open Form3.
Create a Request
Describe your request in detail using the feedback form.
