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Kvantron Smart Cap Control
Automatic cap, closure, and capping quality inspection on the production line
Kvantron Smart Cap Control
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Control on the production line
Used to inspect individual caps on the production and sorting line before capping.
01. -
Post-capping inspection
Checks caps already screwed onto the bottle after the capping unit. Detects skewed caps, under-torqued caps, and missing caps.
02. -
Automatic rejection
If a defect is found, the system automatically sends a signal to the reject device. Defective products are removed from the flow without stopping the line.
03. -
What defects does it detect?
Cap damages, geometry deviations, skewed caps, chips, cracks, deformations, missing or wrongly positioned closure.
04.
What the system controls
Cap geometry
- Cap height and diameter
- Ovality and conicity
- Skew and seating height on the bottle
- Gap between cap and tamper-evident ring
Capping quality
- Missing cap or incomplete capping
- Skewing during screwing or improper thread seating
- Tamper-evident ring damage or bridge breakage
- Seal integrity by visual parameters
Cap defects
- Cracks, chips, and deformations
- Micro-holes and contamination
- Defects at injection point and threads
- Seal and inside surface damages
Color, print and marking
- Cap color and product format compliance
- Printed marks, logo, date, and batch number
- Code readability and no image shift
- Control over mixing caps of different colors or batches
100% in-line inspection
The system checks 100% of caps or bottles with caps, not just samples. This allows preventing defective products from reaching the client and quickly detecting production issues.
Depending on configuration, the system can operate at speeds of up to 50 caps per second, which equals up to 180,000 caps per hour for individual cap inspection and sorting tasks. For cap inspection on bottles, the speed is adapted to the specific line's throughput.
System cameras & configuration
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Feature
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Value
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|---|---|
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Top camera
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Inspection of top surface, print, color, injection point, marking
|
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Side camera
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Inspection of seating height, skew, gap, ring, and bridges
|
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Multiple side cameras
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Cap inspection around the circumference
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Inside area camera
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Seal, thread, and inner defect inspection
|
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Specialized lighting
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Detection of micro-defects, cracks, gaps, geometry flaws
|
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Rejection system
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Automatic removal of defective products from the conveyor
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Camera resolution
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from 1.3 to 5 MP
|
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Cap diameter
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from 20 to 60 mm
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Cap height
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from 8 to 40 mm
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How Kvantron Smart Cap Control works
After the bottle passes through the capping unit or after cap feeding to the inspection line, the system registers the object via a sensor, receives images from the cameras, and analyzes them in the Kvantron Smart platform.
The system algorithms perform:
- cap detection in frame;
- contour extraction;
- geometric parameter measurement;
- thread and ring analysis;
- color check;
- local defect search;
- comparison with reference parameters;
- defect classification;
- decision-making: pass or reject;
- rejection signal transmission;
- logging line, batch, defect type, and event time statistics.
Monitor not only defects, but also their causes
The system can not only remove defective caps but also help technologists understand why rejects occur.
Kvantron Smart Cap Control generates statistics by:
- defect types;
- rejects per shift;
- defect dynamics over time;
- mold cavity number, if available;
- production batch;
- line settings;
- recurring deviations;
- reasons for stoppages and rejection.
This enables faster detection of worn mold elements, unstable capping unit performance, material and temperature issues, printing or cap transportation problems.
Injection mold cavity number tracking
For cap manufacturers, the ability to sort and analyze by cavity number is especially important. If a technological cavity number is present, the system can recognize it and link defects to a specific mold cell.
This provides opportunities to:
- find the problematic mold cavity;
- avoid stopping the entire mold without need;
- perform targeted maintenance;
- reduce recurring defects;
- gather objective quality statistics.
This approach is used by leading foreign cap inspection systems: INTRAVIS separates cavity number analytics for mold configuration, and IMDvista focuses on a single management center and 100% inspection as part of a full production line.
Advanced cap types supported
The market is moving from simple standard caps to more complex types: sports closures, flip-top, push-pull, tethered caps, dispensing closures, and caps with multiple inspection zones.
Therefore, Kvantron Smart Cap Control can be adapted for:
- standard screw caps;
- sports closures;
- flip-top caps;
- push-pull caps;
- tethered caps;
- caps with tamper-evident ring;
- caps with dispensers;
- caps for household chemicals;
- caps for oils and technical fluids;
- caps for pharma and cosmetics.
Competitors also develop in these directions: INTRAVIS offers CapWatcher SC for sports, flip-top and push-pull caps, while IMDvista promotes its AI-based approach for advanced and tethered closures without mandatory mechanical orientation.
Benefits of Kvantron Smart Cap Control
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Comprehensive cap control
The system checks geometry, thread, color, print, tamper-evident ring, bridges, seal, injection point, contamination, and micro-defects.
01. -
Cap inspection on bottle and for separated caps
The solution can be used either after cap production or after capping the bottle.
02. -
Flexible camera configuration
Camera quantity, lighting type, lenses, and algorithms are tailored to each cap, material, color, line speed, and client’s requirements.
03. -
High-speed operation
For separated cap sorting, the system can inspect up to 50 caps per second. For bottles, system adapts to the client’s production line speed.
04. -
Reject reason analytics
The system not only rejects defective items, but also generates data for production analytics.
05. -
Line integration
Kvantron Smart Cap Control can send rejection signals, communicate with controllers, MES, SCADA, and other enterprise systems.
06. -
Neural network model support
For complex defects, unstable geometry, glare, color variations, and nonstandard caps, neural network algorithms can be used.
07. -
Adapted for Russian production
The system is developed and implemented considering the specific line, service availability, local client’s requirements, and further software improvements.
08.
Common defects detected
|
Feature
|
Value
|
|---|---|
|
Capping
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Missing cap, skew, incomplete capping, improper seating
|
|
Geometry
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Height, diameter, ovality, conicity deviations
|
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Thread
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Thread damage, incomplete forming, molding defect
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Tamper-evident ring
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Incorrect gap, bridge breakage, ring break
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Surface
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Contamination, burnt marks, cracks, chips, deformations
|
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Micro-defects
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Micro-holes, thin cracks, injection point defects
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Seal
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Seal zone damage, inside geometry faults
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Color & batch
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Wrong color, cap mixing, format mismatch
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Print & marking
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Missing print, image shift, poor readability, wrong code
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System components
- Industrial vision camera or multiple cameras;
- Lenses;
- Specialized lighting;
- Product presence sensor;
- Industrial computer or controller;
- Kvantron Smart software;
- Control cabinet;
- Operator interface;
- Production line communication module;
- Automatic rejection mechanism;
- Statistics and report module;
- Recipe setup tools for different cap types.
Best for these industries
- drinking water;
- juices and beverages;
- dairy products;
- vegetable oils;
- sauces;
- household chemicals;
- cosmetics;
- pharma products;
- technical fluids;
- plastic caps and closures;
- tamper-evident packaging;
- products with sports or dispensing caps.
Service & Support
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+7 (4912) 72-22-701.
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