Ubuntu enables faster go to market for ADLINK and Funcode’s AI-powered industrial cameras

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Industrial quality control is an industry where time is of the essence. Barcode scanning is a core component, ensuring that every item forming part of a delicate supply chain is accounted for. However, quality control is thorough and laborious, with a delicate balance between speed and quality. ADLINK and Funcode partnered up to create a solution that could revolutionize the pace of industrial quality control: an AI-powered smart camera that can scan multiple barcodes at once.

This required selecting an OS that could work seamlessly with the highly specialized hardware chip, and was stable enough to function performantly in time-sensitive environments. By choosing Ubuntu, ADLINK and Funcode were able to build at speed, due to Ubuntu being optimized for ADLINK’s NVIDIA hardware. In addition, the well-established Ubuntu ecosystem allowed Funcode to build a software system that ran smoothly for extended periods of time - with the smart camera running 24/7 for one month as part of a testing period.

“The stability is excellent. We have run the system continuously for over a month without any crashes, allowing us to present long-term testing data to our customers smoothly.” - Colin Yeh, General Manager, Funcode

Read the case study to discover how ADLINK and Funcode:

• Reduced their time to build by harnessing NVIDIA’s support for Ubuntu.
• Achieved a speedier go-to-market by drawing on the open source ecosystem.
• Created a proof-of-concept that stood up to the challenges of industrial time pressures and ran seamlessly for a whole month.

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