Basler and Siemens Join Forces to Enhance Machine Vision and Factory Automation Capabilities
Basler和西門子聯(lián)手增強(qiáng)機(jī)器視覺和工廠自動化能力

The cooperation between Basler and Siemens will bring significant benefits to customers. System integrators, machine builders, and professional end users looking to use computer vision will have easy access to innovative, automated, and easy-to-integrate solutions through this partnership. This will allow them to streamline their production process, increase efficiency, lower costs, as well as improving transparency and quality control—all aimed at maximizing overall productivity.

Basler與西門子的合作將為客戶帶來顯著利益。通過這種合作關(guān)系，希望使用計(jì)算機(jī)視覺的系統(tǒng)集成商、機(jī)器制造商和專業(yè)最終用戶將可以輕松獲得創(chuàng)新、自動化且易于集成的解決方案。這將使他們能夠簡化生產(chǎn)流程、提高效率、降低成本以及提高透明度和質(zhì)量控制——所有這些都旨在最大限度地提高整體生產(chǎn)力。

Basler Vision Connector: The interface between camera and automation portfolios
Basler Vision Connector：相機(jī)和自動化產(chǎn)品組合之間的接口

The first result of this alliance is the Basler Vision Connector—a powerful, easy-to-use app that allows Basler's vision components to be easily integrated into Siemens' Industrial Edge ecosystem.  "The Vision Connector is a game changer for our customers," explains Dr. Dietmar Ley, CEO of Basler AG. "By being an integral part of the ecosystem, it significantly lowers the bar for our customers to integrate computer vision into an existing automation system." In addition, the Basler Vision Connector will also be integrated into Siemens’ SIMATIC TIA ecosystem, enabling customers to freely choose the best-fitting solution for their applications.

該合作的第一個(gè)成果是Basler Vision Connector，這是一款功能強(qiáng)大、易用的應(yīng)用程序，可讓Basler的視覺組件輕松集成到西門子的工業(yè)邊緣生態(tài)系統(tǒng)中。Basler公司首席執(zhí)行官Dietmar Ley博士解釋說:“對于我們的客戶來說，Vision Connector是一個(gè)游戲規(guī)則的改變者。作為生態(tài)系統(tǒng)不可或缺的一部分，它大大降低了我們的客戶將計(jì)算機(jī)視覺集成到現(xiàn)有自動化系統(tǒng)的門檻。”此外，Basler Vision Connector還將集成到西門子的SIMATIC TIA生態(tài)系統(tǒng)中，使客戶能夠自由選擇最適合其應(yīng)用的解決方案。

This connectivity represents a significant improvement in the use of machine vision. "We are very excited about our new partnership with Siemens", said Ley. "By combining our expertise in machine vision with Siemens' strong background in the automation and digitalization market, our collaboration will allow us to offer pre-tested application scenarios and aligned product portfolio options for customers to choose from. We are able to develop solutions that can help them significantly reduce their time-to-market."

這種連接代表了機(jī)器視覺應(yīng)用的重大進(jìn)步。“我們對與西門子的新合作伙伴關(guān)系感到非常興奮，”Ley說道。“通過將我們在機(jī)器視覺方面的專業(yè)知識與西門子在自動化和數(shù)字化市場的強(qiáng)大背景相結(jié)合，我們的合作將使我們能夠提供預(yù)測試的應(yīng)用場景和一致的產(chǎn)品組合選項(xiàng)供客戶選擇。我們能夠開發(fā)能夠幫助他們顯著縮短上市時(shí)間的解決方案。”

This is only the initial phase of the partnership; plans are in place to broaden its scope to encompass a wider array of computer vision applications by offering Basler's pylon SDK on Siemens’ automation devices. This will allow customers to easily and seamlessly integrate vision applications into their automation processes, including conventional computer vision functionality as well as performing evaluations based on machine learning. The partnership also includes aligning customer support between the two companies to ensure that customers have a single point of contact for information and advice.

這只是伙伴關(guān)系的初始階段；通過在西門子的自動化設(shè)備上提供Basler的pylon SDK，計(jì)劃將其范圍擴(kuò)大到更廣泛的計(jì)算機(jī)視覺應(yīng)用。這將允許客戶輕松無縫地將視覺應(yīng)用集成到他們的自動化流程中，包括傳統(tǒng)的計(jì)算機(jī)視覺功能以及基于機(jī)器學(xué)習(xí)的評估。此次合作還包括協(xié)調(diào)兩家公司之間的客戶支持，以確保客戶可以通過單一聯(lián)系點(diǎn)獲取信息和建議。

“Together we’re integrating machine vision into automation," said Rainer Brehm, CEO Factory Automation at Siemens. "This helps with many tasks, for example when it comes to difficult quality control or to reduce errors and thus defects in industrial production, or to react to the shortage of skilled workers. In doing so, we are taking an important step towards an adaptable, sustainable production and increasingly autonomous production processes."

西門子工廠自動化首席執(zhí)行官Rainer Brehm表示：“我們正攜手將機(jī)器視覺融入自動化。這有助于完成許多任務(wù)，例如當(dāng)涉及到困難的質(zhì)量控制或減少工業(yè)生產(chǎn)中的錯(cuò)誤和缺陷，或應(yīng)對熟練工人的短缺時(shí)。在此過程中，我們朝著適應(yīng)性強(qiáng)、可持續(xù)的生產(chǎn)和日益自主的生產(chǎn)流程邁出了重要一步。”