Cybord Showcases First Online Visual Electronic Component Analysis Platform at “Electronica 2022” in Munich
Cybord is disrupting the industry with its unique solution for comprehensive analysis of electronic components at the early stages of production. Cybord uses top and bottom component inspection, visual AI and big data.
Cybord, a leader in online visual AI electronic component analysis software that implements AI and big data technology, is on a mission to eliminate counterfeit and defective components
production lines, to significantly increase the reliability, authenticity and quality of products, and provide equipment manufacturers with the highest level of traceability.
Cybord will showcase the visual AI platform and perform live demonstrations at the world’s leading electronics industry trade show “Electronica 2022”, taking place November 15-18, 2022 in Munich. Visitors to the stand will be able to see how electronic components are inspected and analyzed within milliseconds. The Cybord Visual-AI platform aggregates and analyzes images and data from 100% of components at different stages of production:
● Cybord Kingfisher – Allows you to securely purchase electronic components from any source
● Cybord Aquila – Ensures high yields of a product from its earliest stages of assembly
● Cybord Osprey – Verifies visual traceability of marked components assembled on each PCBA
The Cybord platform combines and analyzes existing unused visual data and production metadata, ensuring authenticity, product quality and traceability.
As part of the live demo at Electronica 2022, Cybord will showcase the Cybord Kingfisher solution that inspects incoming spools.
Come visit us and meet the Cybord team! Booth C3.368
We will be happy to arrange individual appointments with you in advance.
Cybord’s innovative online AI component analysis software solution for electronics manufacturing.
The Cybord platform allows 100% analysis of all components placed on PCBA. The solution
implements AI and Big Data technology to ensure productivity, quality, counterfeiting and a unique visual
evidence-based traceability, visit https://www.cybord.ai or follow us on LinkedIn and Twitter.