Press release

Neurocle to Participate in InterBattery 2025

Showcasing Field-Proven Deep Learning Battery Vision Inspection

Neurocle, a leading company in deep learning-based vision inspection for the battery industry, is set to participate in INTERBATTERY 2025, Korea’s largest battery exhibition.

Neurocle’s deep learning model development software, Neuro-T, along with its runtime software library for on-site deployment, Neuro-R, has been widely adopted across various manufacturing processes, demonstrating proven technological excellence. The company’s deep learning vision inspection solutions, now deployed in over 30 countries, are actively used not only in battery manufacturing but also in industries such as semiconductors, automotive, food, and pharmaceuticals.

Neurocle has solidified its position in battery production environments where quality standards are especially stringent by delivering high-performance solutions backed by advanced technology. One notable case involves Battery Manufacturer A which conducts lead tab defect inspections. The company faced a common industry challenge of insufficient defect data but overcame this limitation using Neurocle’s solution by leveraging the synthetic defect generation AI model embedded in Neuro-T, generating highly realistic virtual defects to train a high-performance inspection model which was then deployed in production equipment. As a result, both missed detections and false positives were reduced to near-zero levels, enabling stable battery production.

Another case involves Battery Manufacturer B producing prismatic batteries and facing limitations with conventional rule-based inspection methods. The existing system, reliant on predefined rules, failed to detect subtle defects occurring in battery vents. By adopting Neurocle’s deep learning vision inspection solution, the company established a model specialized in detecting vent areas with another capable of identifying subtle defects in high-resolution images. This integrated approach improved defect detection accuracy from below 95% to 99.7%, significantly enhancing the stability of its production process.

Beyond these cases, Neurocle’s solutions have been applied to a wide range of battery inspection processes, including battery cap character recognition, CID appearance inspection, internal X-ray inspection of pouch batteries, electrode misalignment inspection, lead tab defect detection, and electrode surface inspection. Through these applications, the company has built an extensive track record in the battery sector.

Neurocle Booth at INTERBATTERY 2024 (Courtesy of Neurocle)

Neurocle will participate in INTERBATTERY 2025, held from March 5 to 7 at COEX in Seoul, where it plans to showcase its proven technologies validated in battery manufacturing environments. As Korea’s largest battery industry exhibition, INTERBATTERY will once again feature Neurocle following its participation last year. The company’s dedicated booth will be located at Hall D, Booth 730, where visitors can experience live demonstrations inspecting various battery form factors including cylindrical, pouch, and prismatic batteries, as well as a hands-on zone to directly explore its Auto Deep Learning vision software, Neuro-T.

Following INTERBATTERY, Neurocle will also take part in the Automation World 2025 (AW 2025), scheduled from March 12 to 14 at COEX in Seoul. Located at Hall A, Booth 760, Neurocle will present real-world demonstration setups used across industries such as automotive, battery, semiconductor, and food production. The company aims to engage directly with customers on-site and introduce its deep learning vision inspection solutions.

Hongsuk Lee, CEO of Neurocle, stated, “Neurocle has been widely adopted across numerous manufacturing sites, earning recognition for its outstanding performance and technological capabilities. Building on this expertise, we look forward to meeting customers at INTERBATTERY 2025 and AW 2025 who face challenges in adopting deep learning vision inspection and working together to solve those challenges.”