CCD Vision Inspection Machine: Intelligent Solution for Lithium Battery Cell Polarity Detection

Industry Challenges in Battery Cell Polarity Testing

As global demand for lithium-ion batteries surges, manufacturers face critical challenges in quality control:

Low Efficiency: Manual inspection achieves only 150–200pcs/hour, struggling to meet large-scale production demands

High Error Rates: Visual inspections by technicians result in 3–5% false detection rates due to fatigue and subjectivity

Cost Overruns: Traditional setups require multiple microscopes + manual rework, increasing operational costs by 40%

Five Core Technological Breakthroughs of CCD Vision Inspection Machines

Model: VC-3000P

(Compatibility: Φ18–21mm | Length ≤70mm | Detection Accuracy ±0.02mm)

1. AI-Driven Visual Recognition System

2MP Industrial Camera: Real-time capture of electrode lug positions with ≥99.9% polarity detection accuracy

Deep Learning Algorithms: Auto-adapt to 18650/21700/4680 irregular cell shapes without manual parameter adjustments

2. High-Speed Sorting Mechanism

Servo Precision Positioning: XYZ-axis alignment accuracy ±0.01mm, with labeling/rejection response times <0.3 seconds

Secondary Leak Test: Integrated differential pressure leak detection to identify hidden defects (e.g., soldering voids/burrs)

3. Extreme Process Control

Tri-Light Compensation: Dynamic switching between red/blue/white LEDs to eliminate metal glare/oil contamination artifacts

Temperature Compensation: Stable operation across -10℃ to 50℃ and humidity 30–85%RH

4. Digital Production Enablement

MES System Integration: Barcode-based traceability from cell ID to inspection parameters

SPC Statistical Analysis: Auto-generates CPK quality reports, reducing defect rates by 70%

5. Energy Efficiency Optimization

Variable Frequency Drive: Idle power consumption <0.5kW (EU ErP compliant)

Hybrid Cooling System: Dual-fan + liquid-cooled design for 24/7 continuous operation

Six Application Scenarios Unlocking Production Efficiency

Customer Success Stories

Global Battery Leader: Deployed 12 units of VC-3000P, achieving:

Daily output: 2.4 million cells (previously 800,000 cells)

Polarity detection speed: 1,800pcs/hour

European Energy Storage Integrator: AI vision recognition improved cell yield from 95% to 99.2%

Key Competitive Advantages

Dimension Traditional Equipment VC-3000P Vision Machine

Single-Unit Output 150–200pcs/hour 1,800pcs/hour

Detection Accuracy ±0.1mm ±0.02mm

False Rate 3–5% ≤0.1%

Data Traceability Manual Records Full Lifecycle Database

Technical Specifications

Parameter Specification

Voltage Range 0–50V (Auto-Sensing)

Max Detection Speed 1,800pcs/hour

Temperature Stability ±1℃ @25℃ Ambient

Safety Features Overload Protection/ESD Guard

Certifications CE/UL/ISO 9001

Why Choose SUNKALEAD?

Proven Innovation: Core algorithm protected by Chinese invention patent 

Cost Efficiency: 60% lower TCO vs. imported counterparts

Ecosystem Synergy: Native integration with SUNKALEAD sorting/aging systems

Accelerate Your Battery Manufacturing

 Free Whitepaper: "Achieving 4680 Battery Consistency with Advanced Vision Inspection"

Demo Request: Book a virtual factory tour of our Guangdong R&D center

 Custom Solutions: Dedicated R&D for solid-state battery/tape automation

Free Consultation: For any inquiries about battery pack assembly line solutions,please don't hesitate to contact us.