How is AI Revolutionising Quality Control in Electronic Product Manufacturing?

According to the World Intellectual Property Organization, counterfeit electronics was a $100 billion industry in 2013, and the figure is only rising. Given that up to 10% of electronic components are potentially counterfeit, industries are seeking new solutions to vanquish this growing problem. The startup in the spotlight today is Cybord, a company localized in Tel Aviv, Israel, that has a unique and innovative approach to tackling this issue.

Cybord leverages artificial intelligence (AI), big data, and machine learning to diagnose and prevent counterfeit, defective, and malicious electronic components from getting assembled into products at the manufacturing stage. The company’s technology integrates with electronic product manufacturing equipment to scan each component before placement, with deep learning algorithms rating each piece per Cybord’s expansive global component database.

Key Takeaways

  • Cybord uses deep tech AI and big data to prevent counterfeit and defective electronic components from entering the manufacturing process
  • The startup integrates its technology with manufacturing equipment for pre-placement scanning.
  • Deep learning algorithms rate components based on Cybord’s vast global database.
  • Cybord is positively impacting the electronics hardware and manufacturing industry.

The differentiating factor for Cybord lies in the effectiveness of its deep tech AI and big data capabilities. By integrating directly with electronic product manufacturing equipment, Cybord ensures that no counterfeit or defective component goes undetected. The inclusion of deep learning algorithms escalates the efficiency of this process, creating a robust classification system for each scanned component.

This distinct methodology by Cybord does not only result in eliminating counterfeit components but also enhances overall product quality. Furthermore, the prevention of potential hardware-cyber threats gives Cybord an even stronger standing in the market.

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Looking ahead, the future of Cybord seems quite promising. The rapid adoption of AI across all fronts of life commands that industries be vigilant against counterfeit and defective electronic components. With continuous development and innovation, Cybord is well underway to cement its position in the AI, big data, consumer electronics, electronics, hardware, machine learning, and manufacturing industry.

The company’s strong commitment to ensuring product integrity, coupled with its robust technological approach, gives it a competitive edge in the market and prospects a bright future for its expansion. For more information, visit their website and follow them on LinkedIn.


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