The Battery Show North America 2024German Exhibitors ISRA SURFACE VISION GmbH

ISRA SURFACE VISION GmbH

Booth number: 3822
www.isravision.com/

About us

From Web to Cell: Envisioning the future of battery inspection

In battery production, a high level of precision is required when processing material webs in order to guarantee a safe and high-quality product. To achieve this, manufacturing companies need a suitable basis for decision-making along with accurate data to optimize production and reduce waste.

ISRA VISION is a leading provider of technologies for industrial image processing (machine vision). In order to make production both more sustainable and more cost-effective for customers worldwide, we help to detect defects at an early stage through surface inspection, ensure quality and thus secure our customers' competitive edge.

With about 1,200 employees, we supply customers across manifold industries and in a wide range of industries. Among others, our vision systems are used in the automotive, battery, glass, solar, traffic and packing sectors. In this way, we help ensure that products such as cars, solar panels, batteries, hygiene products and food packaging meet the high standards they require. 

With our future-oriented applications, we make a decisive contribution to the topic of sustainability. This includes saving finite resources and continuously optimizing process chains.

Cylindrical cell inspection

Prismatic cell inspection

Pouch cell inspection

Electrode coating inspection

Separator film inspection

Address

ISRA SURFACE VISION GmbH
Albert-Einstein-Allee 36-40
45699 Herten
Germany

E-mail: info@isravision.com
Phone:  +49 2366 93000
Internet: www.isravision.com/
ISRA VISION Perceptron USA
47827 Halyard Drive
48170 Plymouth
United States

E-mail: info@isravision.com
Phone:  +1 734 4146100
Internet: www.isravision.com

Contact person:

Account Manager Sales CCP Drew Blesse
E-mail: drew.blesse@isravision.com

Separator film inspection

  • Reliable defect classification through the use of HDR technology: Differentiation between pin holes and thin spots 

  • Inspection and documentation over the entire length and width of the web: Flawless material, Avoidance of critical defects, Increase in productivity 

  • Holistic solution approach for process optimization: From defect data to decision data, Live and analytical dashboards (in-house development), Enabler on the path to Industry 4.0 

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Separator film inspection

Electrode film inspection

  • Reliable defect classification: Use of multiple lighting channels, Self-learning classifier (AI + deep learning), Use of HDR technology 

  • Inspection and documentation over the entire length and width of the web: All-in-one high-speed camera (400 KHz) or CIS-Sensor with 600 or 1200dpi with highly optimized LED lighting, Avoidance of critical errors, Monitoring of error patterns and geometric deviations 

  • Holistic solution approach for process optimization: From defect data to decision data, Live and analytical dashboards (in-house development), Implementation of track and trace strategies 

  • Making an active contribution to sustainability goals: Minimizing waste, reducing raw material and energy consumption 

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End-of-line inspection for prismatic, cylindrical and pouch cells

  • Inline inspection of battery cells during ongoing production: Inspection of all surfaces including the critical edge areas, Battery format-specific image processing set-up for inline inspection (cycle time 15 ppm and more) 

  • Reliable defect classification: AI-supported anomaly detection of the critical edge areas, Detection of 2D and 3D defects, Monitoring of geometric dimensions 

  • Holistic solution approach for process optimization: From defect data to decision data, Live and analytical dashboards (in-house development), Implementation of track and trace strategies 

  • Making an active contribution to sustainability goals: Waste is reduced and the marketable production volume is increased,  Saving of finite resources, 2nd inspection loop supported by re-work dashboard

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