Quality control automation system
Cybord

February 2021 - Ongoing
Overview
Cybord removes counterfeit and defective components from production lines. Its technology uses AI and big data to identify counterfeit, defective and tampered components, including hardware-based cybersecurity threats. Defects are detected during component placement and before reflow, which makes rework simpler and products more reliable. Integration with manufacturing execution systems quarantines nonconforming materials so they cannot be used.

Services Provided for This Case
Challenge
Many factories build electronic boards from components bought from different suppliers. Some dishonest vendors sell used or counterfeit parts as new, so damaged or defective components end up in production. The task was to build a solution that uses artificial intelligence and supervised machine learning to detect counterfeit, damaged or used components quickly and keep them out of the final products.

Solution
We trained neural networks to recognise components and their manufacturers and to detect defects such as soldering issues. This lets factories spot counterfeit or low-quality components before they are used in production. The system scans and analyses every part installed on an electronic board and checks component reels before they enter the production line.

Technology stack
Backend:
Other:
Result
We developed an AI system that checks the quality of SMT components from the supply chain to the customer. It records where each component came from and where it was installed. Initially a proof of concept, it has grown into a complete product that integrates all software components. Manufacturers get a dashboard with all assembled components, assembled boards and traceability data from multiple production sites and contract manufacturers.
Beyond inspection, the system allows early repair and prevention. It combines material inspection, documentation and images to trace where every component was placed, which helps manufacturers establish material provenance and manage recalls.
The system currently processes a few million images per day and gives Cybord clients component-level traceability, more reliable products and better cybersecurity.

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