How to improve efficiency and quality

Machine Vision For Battery Production

Battery manufacturing is rapidly expanding as demand for high-quality, reliable batteries grows across industries. To meet this demand, manufacturers must ensure efficient, accurate, and safe production processes. Machine vision plays a central role by enabling precise quality control and boosting production efficiency.

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Battery Manufacturers Face Multiple Challenges

Battery manufacturers face multiple challenges, including constrained raw material supply chains, limited production capacity, and high investment and ramp-up costs. At the same time, shortages of skilled labor, safety risks, and high scrap rates increase operational pressure. Strict quality and precision requirements, growing demands for end-to-end traceability, and compliance with governmental and environmental regulations further add to the complexity of battery production.

How machine vision supports battery manufacturing

Securing quality and accuracy to ensure safety, performance, and battery life.

Optimizing workflows and reducing waste.

Using resources efficiently and reducing degradation.

Enabling reliable 24/7 high-speed production with 100% in-line inspection.

Ensuring complete traceability from raw material to finished product.

Machine vision across the battery cell production process

Machine vision supports every stage of battery cell production, from electrode preparation to final testing. By providing consistent inline inspection, it ensures stable processes, minimizes scrap, and enables the reliable delivery of high-quality cells.

Electrode Manufacturing

Machine vision secures electrode quality by measuring coating thickness, checking surface uniformity, monitoring adhesion, and inspecting cut-edge geometry. Inline inspection detects defects early, reduces waste, and helps maintain stable production.
Applications: surface inspection and defect classification, coating width measurement, cut-edge geometry inspection, electrode tab distance measurement.

Coating width measurement with MVTec software
Coating width measurement.
Inspection of cut edge geometry with MVTec software
Inspection of cut edge geometry.
Electrode tab distance measurement with MVTec software
Electrode tab distance measurement.
Coating surface inspection and defect classification with MVTec software
Coating surface inspection and defect classification.

Cell Assembly

In this step, electrodes and separators are combined into pouch, prismatic, or cylindrical cells. Machine vision ensures precise alignment, damage-free handling, and accurate stacking. For cylindrical cells, it supervises jelly roll winding and layer uniformity, contributing to higher reliability and improved performance.
Applications: inspection of electrode surfaces and tabs, position detection and stacking alignment, X-ray/CT-based electrode layer measurement, data matrix code reading.

Inspection of electrode surface and tabs, and measurement of cut geometry with MVTec software
Inspection of electrode surface and tabs, and measurement of cut geometry.
Electrode sheet position detection & stacking alignment with MVTec software.
Electrode sheet position detection & stacking alignment.
X-ray / CT-based electrode layer measurement with MVTec software
X-ray / CT-based electrode layer measurement.
Data matrix code reading with MVTec software.
Data matrix code reading.

Formation & Aging

Before shipping, cells undergo charging, discharging, and rigorous testing. Machine vision detects defects, deformations, or contamination, verifies codes for traceability, and measures cell dimensions. This guarantees product safety, consistent quality, and compliance with industry standards.
Applications: surface inspection of prismatic cells, defect detection on pouch cells, data code reading, measurement of outer diameter and cell dimensions.

Surface inspection of prismatic cells with MVTec software.
Surface inspection of prismatic cells.
Defect detection on pouch cells with MVTec software
Defect detection on pouch cells.
2D code reading with MVTec software.
2D code reading.
Measurement of outer diameter and cell dimensions with MVTec software.
Measurement of outer diameter and cell dimensions.
Machine vision –
indispensable for battery cell production
White Paper
  • Machine vision optimizes all process steps of battery cell production.
  • Overview of how image processing solves the individual challenges.
  • HALCON and MERLIC offer ideal features for high-performance quality assurance at high speeds.

APPLICATIONS IN PRACTICE

Our success stories in the battery production

MVTec HALCON product icon
Workflow der Produktion zylindrischer Lithium-Ionen-Batterien mit verteilten Sensorsystemen und zentraler Deep-Learning-Auswertung mit MVTec HALCON.
MVTec HALCON’s deep learning helps Panasonic Energy to propel automotive battery production
Panasonic Energy manufactures automotive batteries, for which demand is increasing worldwide, at multiple sites in Japan and North America. The company recently implemented MVTec HALCON’s deep learning technologies on a large scale at its Kansas plan…
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HALCON
Battery Production
Automotive
Deep Learning
Inspection
MVTec HALCON product icon
High-speed battery inspection using machine vision.
Machine Vision automates and optimizes battery inspection
A variety of defects can occur during battery production. Averna has developed a method for the automated inspection of batteries that reliably detects all conceivable defects. Here, the machine vision software MVTec HALCON plays a key role.
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HALCON
Battery Production
Blob Analysis
Inspection
MVTec HALCON product icon
Industrial robots performing laser welding on battery cells guided by machine vision.
Machine vision accelerates battery production
High speed, precision, and reliability: These are the determining factors for battery production. To meet the rapidly growing demand for batteries, companies are developing increasingly efficient production processes. Laserax has developed a new syst…
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HALCON
Battery Production
3D Calibration
Calibration
Matching
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Battery laser welding system used in automated battery production with integrated machine vision inspection.
Full quality control with HALCON´s deep learning functions
One of the key challenges in automated battery production is achieving stable welds without damaging the housing. To meet strict automotive quality standards while reducing costs, Manz AG is developing inline inspection systems that enable full proce…
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HALCON
Battery Production
Electric Components
Machinery
Anomaly Detection
Deep Learning
Inspection
MVTec HALCON product icon
Electrode sheet inspection machine - Ayaha Engineering
Ayaha Engineering uses HALCON software together with a line scan camera in the web inspection of electrode sheets for lithium-ion batteries. The system measures coating width, defects and foreign matter on continuously running webs and classifies def…
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HALCON
Battery Production
Automotive
Electric Components
3D Vision
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