Vision Inspection System | Lithium-ion Battery Defect Detection

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Vision Inspection System Description

Core Value of Vision Inspection in the Lithium Battery Industry

Vision inspection equipment is a critical component in industrial automation for product quality inspection. It utilizes optical imaging, image processing, and intelligent algorithms to automate the detection of target objects' appearance, dimensions, defects, and other features. In the lithium battery industry, vision inspection equipment significantly enhances production efficiency and product consistency.

Core Components of a Vision Inspection System
Image Acquisition System
Typically consists of an industrial camera, optical lens, and LED light source. Among these, lighting setup is a key factor affecting inspection quality. Gosunm's implementation engineers possess extensive project experience.

Image Processing System
Comprises hardware (industrial computers, image capture cards) and software algorithms. Gosunm's technical director is an expert in vision inspection technology, and the company's self-developed deep learning algorithms outperform traditional methods by over 50%.

Execution and Feedback System
PLC Control: Triggers sorting mechanisms (e.g., robotic arms) to reject defective products.
Data Interaction: Integrates with MES/SCADA systems to enable production data traceability (e.g., defect statistical analysis).

Applications of Vision Inspection in the Lithium Battery Industry

Vision inspection technology is widely used throughout the entire lifecycle of lithium battery production, from raw material inspection to final packaging. Its high precision, efficiency, and non-contact nature significantly improve product quality and manufacturing efficiency. Gosunm delivers highly accurate and efficient inspection in the following key scenarios:

1. Electrode Manufacturing

Coating Inspection:
High-resolution cameras detect coating uniformity, thickness (μm-level accuracy), and edge burrs to prevent under/over-coating or missed spots. Line-scan cameras paired with laser rangefinders enable real-time thickness monitoring (±1μm accuracy).
Slitting Defects:
Detects edge burrs, wavy edges, and metal particle residues after electrode slitting to avoid short-circuit risks.

2. Cell Assembly

Stacking/Winding Alignment:
Vision systems (e.g., CCD + AI algorithms) detect electrode misalignment, separator wrinkles, and tab spacing (±0.2mm tolerance) to prevent internal short circuits.
Welding Quality:
Infrared thermography combined with visible light inspection identifies welding defects (e.g., weak welds, burn-through) to ensure conductivity.

3. Appearance Defect Inspection

Surface Flaws:
Detects scratches, dents, and contamination (e.g., oil stains, dust) on cell casings using multi-angle ring lighting for enhanced contrast.
Dimensional Measurement:
3D vision (e.g., structured light) measures critical dimensions (e.g., cell length/width/height, terminal height) with ±0.1mm tolerance.

4. Post-Formation Inspection
Electrolyte Leakage:
UV fluorescence or hyperspectral imaging identifies trace electrolyte residues (e.g., NMP solvent).
Swelling Detection:
3D profilometers monitor thickness changes after charge/discharge (alerts if expansion exceeds 5%).

5. Battery Pack (PACK) Inspection

Busbar Welding:
Checks weld seam continuity and spatter to prevent current-carrying issues.
Insulation Test:
Infrared cameras locate hotspots, combined with withstand voltage testing for insulation verification.

6. Coding and Traceability
QR Code/Character Recognition:
High-speed OCR reads laser-marked DPM codes on cells, adapting to reflective or curved surfaces with >99.9% accuracy.

Vision inspection equipment enhances yield rates, reduces labor costs, and enables full-process data traceability. With advancements in AI and 3D vision, future systems will evolve toward higher intelligence and integration, becoming a cornerstone of smart lithium battery manufacturing.