≥99.9%
Blister Pack
Vision Inspection System
A high-speed inline inspection system for capsule and tablet blister packs. Industrial cameras, dedicated lighting, GPU-powered deep learning, and automatic rejection work together to identify, classify, and trace defects in real time.
View Key Metrics600packs/min
Maximum inspection speed
7×24
Continuous operation
3sets
Industrial cameras
Performance is subject to sample testing, production-line conditions, and final project acceptance.
Complex inspection,
integrated in one system
From imaging and inference to rejection and traceability, the system works with automated production lines to reduce the fatigue, variation, and data gaps of manual inspection.

Industrial imaging
Three high-resolution industrial cameras cover dedicated inspection stations.
Dedicated optics
Continuously adjustable LED lighting reveals stable, repeatable defect features.
AI inference
A high-performance industrial computer and GPU run deep learning inference in real time.
Data management
Images, parameters, batch records, and statistics are archived in one system.
High-accuracy recognition
Deep learning models and GPU inference identify a wide range of appearance and packaging defects.
High-speed inline inspection
Inspection stays synchronized with the production line to capture, classify, and reject defects in motion.
Reliable traceability
Images and inspection parameters are archived automatically for reporting and quality review.
Fast product changeover
The system adapts to different materials and batches, with sample-based model updates for new products.
Detect common blister-pack defects
Inspection criteria can be configured for different materials, formats, and production batches. Images are representative defect samples.
Inspection of fill, appearance, sealing, and foreign-material defects.
Empty cavity
Contamination
Missing cap
Powder leakage
Indentation
Edge damage
Crushed blister
Mesh defect
Print misalignmentInline control,
from infeed to traceability
The machine integrates with an automated production line to perform multi-station imaging, AI classification, sorting, and data archiving in continuous motion.
- 01
Automatic infeed
Blister packs enter the inspection unit from the production line.
- 02
Servo conveying
Servo control maintains stable transport speed and inspection timing.
- 03
Vacuum positioning
A vacuum conveyor keeps each blister pack stable during inspection.
- 04
Multi-station imaging
Three industrial cameras capture images at dedicated inspection stations.
- 05
AI classification
GPU inference identifies and classifies defects in real time.
- 06
Defect rejection
The reject mechanism diverts nonconforming products to designated bins.
- 07
Accepted outfeed
Accepted products continue to the downstream packaging line.
- 08
Data traceability
Images, parameters, and batch data are archived for export and review.
Industrial configuration
for pharmaceutical lines
- Power supply
- AC 220 V ±10%, 50 Hz
- Operating environment
- 0–45°C; 20%–80% RH, non-condensing
- Compressed air
- 0.4–0.7 MPa, 100 L/min
- Machine dimensions
- 2120 × 775.5 × 1811.06 mm
- Machine weight
- Approx. 500 kg
- Vision hardware
- 2 MP / 5 MP industrial cameras × 3; adjustable LED lights × 3
- Operator interface
- 15.1-inch touchscreen display
- Data capabilities
- Image and parameter archiving, Excel export, project-based MES integration

Machine vision for
more reliable quality decisions
Zhongheng Vision Intelligence Technology (Hangzhou) Co., Ltd. is an innovative technology company focused on artificial intelligence, deep learning, and machine vision algorithms, integrating the development, production, sales, and service of visual inspection equipment.
Our team develops AOI, AI, laser, and 3D imaging technologies for pharmaceutical, packaging, semiconductor, and magnetic-material applications, helping manufacturers stabilize quality, improve efficiency, and reduce manual inspection costs.
Bring your samples and line data.
Let us validate the solution.
We evaluate the product type, defect criteria, production speed, and available floor space to define the right inspection configuration.
Tell us what you need
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