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Manufacturers and Logistics Providers Embrace AI for Enhanced Barcode Reading Performance

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A recent survey by Cognex reveals widespread anticipation for AI's role in improving barcode reading technology across manufacturing and logistics sectors. The study, encompassing 283 participants from Asia, North America, and Europe, found that 90% of users expect AI to enhance accuracy, ease of use, and decode rates. The survey identified key challenges: 41% struggle with damaged or smudged barcodes, 39% face issues with distortion and reflections, and 35% deal with problematic code sizes and locations. Nearly half (47%) of respondents expect AI to deliver higher read rates. The findings highlight that reliability and maintenance ease are top priorities, particularly significant given that only 21% of users identify as experts while one-third are novices. Cognex's Executive VP Carl Gerst emphasized the company's commitment to embedding AI in their barcode reading solutions, including their DataMan 290 and 390 products.
Un recente sondaggio di Cognex rivela un'ampia aspettativa per il ruolo dell'IA nel migliorare la tecnologia di lettura dei codici a barre nei settori manifatturiero e della logistica. Lo studio, che ha coinvolto 283 partecipanti provenienti da Asia, Nord America ed Europa, ha evidenziato che il 90% degli utenti si aspetta che l'IA migliori la precisione, la facilità d'uso e i tassi di decodifica. Il sondaggio ha identificato le principali sfide: il 41% ha difficoltà con codici a barre danneggiati o sfocati, il 39% incontra problemi con distorsioni e riflessi, e il 35% si confronta con dimensioni e posizioni problematiche dei codici. Quasi la metà (47%) degli intervistati si aspetta che l'IA garantisca tassi di lettura più elevati. I risultati sottolineano che affidabilità e facilità di manutenzione sono priorità assolute, soprattutto considerando che solo il 21% degli utenti si definisce esperto mentre un terzo è alle prime armi. Carl Gerst, vicepresidente esecutivo di Cognex, ha sottolineato l'impegno dell'azienda nell'integrare l'IA nelle soluzioni di lettura dei codici a barre, inclusi i prodotti DataMan 290 e 390.
Una encuesta reciente de Cognex revela una amplia expectativa sobre el papel de la IA en la mejora de la tecnología de lectura de códigos de barras en los sectores de manufactura y logística. El estudio, que incluyó a 283 participantes de Asia, Norteamérica y Europa, encontró que el 90% de los usuarios espera que la IA aumente la precisión, la facilidad de uso y las tasas de decodificación. La encuesta identificó desafíos clave: el 41% tiene problemas con códigos dañados o borrosos, el 39% enfrenta distorsiones y reflejos, y el 35% lidia con tamaños y ubicaciones problemáticas de los códigos. Casi la mitad (47%) de los encuestados espera que la IA proporcione tasas de lectura más altas. Los hallazgos destacan que la fiabilidad y la facilidad de mantenimiento son prioridades principales, especialmente considerando que solo el 21% de los usuarios se considera experto y un tercio son principiantes. Carl Gerst, vicepresidente ejecutivo de Cognex, enfatizó el compromiso de la compañía para integrar la IA en sus soluciones de lectura de códigos de barras, incluidos los productos DataMan 290 y 390.
Cognex의 최근 설문조사에 따르면 제조 및 물류 분야에서 바코드 판독 기술 향상을 위한 AI의 역할에 대한 기대가 높습니다. 아시아, 북미, 유럽의 283명을 대상으로 한 이 연구에서 90%의 사용자가 AI가 정확성, 사용 편의성 및 디코딩률을 향상시킬 것으로 기대한다고 밝혔습니다. 설문조사에서는 주요 과제로 손상되거나 번진 바코드 문제(41%), 왜곡 및 반사 문제(39%), 코드 크기 및 위치 문제(35%)가 지적되었습니다. 응답자의 거의 절반(47%)은 AI가 더 높은 판독률을 제공할 것으로 기대하고 있습니다. 이 결과는 신뢰성 및 유지보수 용이성이 최우선 과제임을 강조하며, 사용자의 단 21%만이 전문가로, 3분의 1은 초보자임을 감안할 때 더욱 중요합니다. Cognex의 최고운영책임자 Carl Gerst는 DataMan 290 및 390 제품을 포함한 바코드 판독 솔루션에 AI를 통합하려는 회사의 의지를 강조했습니다.
Une enquête récente de Cognex révèle une forte attente quant au rôle de l'IA dans l'amélioration de la technologie de lecture des codes-barres dans les secteurs de la fabrication et de la logistique. L'étude, qui a rassemblé 283 participants d'Asie, d'Amérique du Nord et d'Europe, a montré que 90 % des utilisateurs s'attendent à ce que l'IA améliore la précision, la facilité d'utilisation et les taux de décodage. L'enquête a identifié les principaux défis : 41 % rencontrent des difficultés avec des codes-barres endommagés ou flous, 39 % font face à des problèmes de distorsion et de reflets, et 35 % ont des soucis liés à la taille et à l'emplacement des codes. Près de la moitié (47 %) des répondants anticipent que l'IA offrira des taux de lecture plus élevés. Les résultats soulignent que la fiabilité et la facilité de maintenance sont des priorités majeures, ce qui est particulièrement important sachant que seulement 21 % des utilisateurs se considèrent comme experts tandis qu'un tiers sont débutants. Carl Gerst, vice-président exécutif de Cognex, a insisté sur l'engagement de l'entreprise à intégrer l'IA dans leurs solutions de lecture de codes-barres, notamment les produits DataMan 290 et 390.
Eine aktuelle Umfrage von Cognex zeigt eine weitverbreitete Erwartungshaltung hinsichtlich der Rolle von KI bei der Verbesserung der Barcode-Lesetechnologie in den Bereichen Fertigung und Logistik. Die Studie mit 283 Teilnehmern aus Asien, Nordamerika und Europa ergab, dass 90 % der Nutzer erwarten, dass KI die Genauigkeit, Benutzerfreundlichkeit und Dekodierungsraten verbessert. Die Umfrage identifizierte wesentliche Herausforderungen: 41 % haben Schwierigkeiten mit beschädigten oder verschmierten Barcodes, 39 % kämpfen mit Verzerrungen und Reflexionen, und 35 % haben Probleme mit problematischen Codegrößen und -positionen. Fast die Hälfte (47 %) der Befragten erwartet, dass KI höhere Leserraten liefert. Die Ergebnisse unterstreichen, dass Zuverlässigkeit und einfache Wartung oberste Priorität haben, was besonders bedeutsam ist, da nur 21 % der Nutzer sich als Experten sehen und ein Drittel Neulinge sind. Carl Gerst, Executive VP bei Cognex, betonte das Engagement des Unternehmens, KI in ihre Barcode-Leselösungen, einschließlich der Produkte DataMan 290 und 390, zu integrieren.
Positive
  • 90% of users anticipate AI improvements in barcode reading performance
  • Strong market presence across Asia, North America, and Europe with 283 survey participants
  • Company already has AI-powered solutions in market (DataMan 290 and 390)
  • Clear understanding of customer pain points and market needs
Negative
  • Only 21% of users are experts in barcode reading technology
  • Significant challenges remain with damaged codes, distortion, and code placement
  • High dependence on maintenance and reliability due to user expertise gap

Survey reveals 90% of users anticipate AI will improve accuracy, ease of use, decode rates, and more

NATICK, Mass., June 3, 2025 /PRNewswire/ -- As traceability and security concerns continue to rise in manufacturing, barcode reading is becoming increasingly vital on production lines worldwide. A survey conducted by Cognex reveals that manufacturers are looking to AI to address their biggest barcode reading challenges and improve overall performance.

"Leveraging advanced technology to make our customers' jobs easier is at the core of everything we do at Cognex. This survey reinforces the value of embedding AI into our barcode reading solutions," said Carl Gerst, Executive Vice President of Vision and ID Products. "Our innovative AI-powered barcode reading solutions deliver unparalleled performance, reliability, and customer experience, addressing the most pressing challenges facing our customers."

The survey, which included 283 participants from manufacturing and logistics businesses in Asia, North America, and Europe, highlights the growing importance of AI in barcode reading applications. Key findings indicate that reading difficult codes is the primary concern for users, and they expect AI to deliver better performance and reliability.

Key Insights

  • Reading difficult codes: The survey identified that damaged, smudged, or wrinkled barcodes are the top challenge for 41% of respondents, followed by issues with distortion, reflections, and curved surfaces (39%), and troublesome code sizes and locations (35%).

  • AI expectations: Respondents overwhelmingly believe that AI will enhance barcode reading performance, with almost half (47%) expecting higher read rates. Other leading expectations include more accurate detection and improved reading of damaged codes, with logistics providers in particular emphasizing accurate detection.

  • Reliability and maintenance: When choosing a barcode reader, reliability and ease of maintenance are the top priorities for users. This focus on dependable performance is understandable since only 21% of respondents said they're experts, while a third said they're novices. That lack of expertise makes maintenance issues even more pressing when making a buying decision for crucial day-to-day operations.

The free report is available for download at cognex.com/barcode-insights.

The insights from this survey underscore the critical role of AI in transforming barcode reading technology. As manufacturers seek to overcome challenges and improve efficiency, AI-powered barcode readers like the recently introduced Cognex DataMan 290 and DataMan 390 are poised to meet these demands with advanced decoding capabilities. For more information, visit cognex.com/dataman-290 or call 1-855-4-COGNEX.

About Cognex Corporation
For over 40 years, Cognex has been making advanced machine vision easy, paving the way for manufacturing and distribution companies to get faster, smarter, and more efficient through automation.

Innovative technology in our vision sensors and systems solves critical manufacturing and distribution challenges, providing unparalleled performance for industries from automotive to consumer electronics to packaged goods.

Cognex makes these tools more capable and easier to deploy and thanks to a longstanding focus on AI, helping factories and warehouses improve quality and maximize efficiency without needing highly technical expertise.

We are headquartered near Boston, USA, with locations in over 30 countries and more than 30,000 customers worldwide. Learn more at cognex.com.

IR Contact
Greer Aviv
Senior IR Consultant
Cognex Corporation
ir@cognex.com

Media Contact
Jeremy Sacco
Senior Manager, Global Content Marketing
Cognex Corporation
pr@cognex.com

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/manufacturers-and-logistics-providers-embrace-ai-for-enhanced-barcode-reading-performance-302466130.html

SOURCE Cognex Corporation

FAQ

What are the main challenges in barcode reading according to Cognex's survey?

According to the survey, 41% struggle with damaged/smudged barcodes, 39% face issues with distortion and reflections, and 35% deal with problematic code sizes and locations.

How many participants were included in Cognex's barcode reading survey?

The survey included 283 participants from manufacturing and logistics businesses across Asia, North America, and Europe.

What percentage of users expect AI to improve barcode reading performance?

90% of users anticipate AI will improve accuracy, ease of use, and decode rates in barcode reading performance.

What are the latest AI-powered barcode readers from Cognex (CGNX)?

Cognex has introduced the DataMan 290 and DataMan 390 as their latest AI-powered barcode readers.

What percentage of barcode reading users consider themselves experts?

Only 21% of respondents identified themselves as experts in barcode reading technology, while one-third classified themselves as novices.
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Cognex Corp

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Scientific & Technical Instruments
Industrial Instruments for Measurement, Display, and Control
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