QC Platform automates quality control at Amphenol

QC Platform automates quality control at Amphenol

Case with
Amphenol Phoenix

Nordbo Robotics’ AI solution for quality control proves itself powerful as Amphenol Phoenix’ daily capacity per worker increases by 1,134.25 %.

What challenges
did the customer face?

Amphenol Phoenix needed a software solution to improve their quality control processes. This included a wish to improve the stability in terms of the workforce, inspection time, and the quality level.

The previous manual process gave the company following challenges:

How did Nordbo Robotics
address these challenges?

To solve these challenges, Nordbo Robotics made use of the powerful software solution for quality inspection, QC. After the initial setup, the AI was taught how to detect, classify, and segment various types of errors and defects. Hereafter, the Phoenix model was integrated into the production line. The AI monitors the operating performance and collects and evaluates data, giving continuous real-time feedback on the quality control process.

Based on deep learning algorithms, Nordbo Robotics’ QC Platform ensured an improvement in Amphenol Phoenix’ quality control process and facilitated the following results:

About Amphenol Phoenix

Amphenol was founded in 2001 and is one of the largest manufacturers of interconnect products in the world with several Forbes500 customers such as Google, Apple, and Microsoft.

Go to company website

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