At Cybord, we recognize the critical role that existing pick-and-place and Automated
Optical Inspection (AOI) machines play in production.
Cybord offers a complementary
Artificial Intelligent software solution that significantly enhances your quality and
productivity.
Our advanced technology integrates seamlessly with your current machinery,
providing an additional layer of precision, efficiency, and reliability.
While traditional machines focus on process control, Cybord specializes in material control, ensuring the
highest quality of materials used in production.
This comparison table illustrates the
features supported by traditional production equipment alongside those offered by Cybord,
showcasing how our AI platform elevates your production capabilities to new heights of
quality and traceability.
By incorporating modern AI-based capabilities into your production
lines, Cybord ensures your operations stay at the forefront of technological advancement.
cybord vs existing tools
Features content supported by Cybord AI platform:
● Crack/Body defect detection – Utilizing an advanced AI deep neural network,
Cybord detects even the smallest cracks on component surfaces.
● Corrosion/Contamination detection – This feature identifies contamination
marks on components and their leads. Any component showing signs of
contamination is flagged for further inspection. The detection threshold is
adjustable, allowing customers to decide the acceptable level of contamination.
● Foreign Object Debris (FOD) Detection – Cybord’s AI algorithms inspect 100%
of components, ensuring no foreign objects, which can cause shorts or weaken
solder joints.
● Manufacturer Authenticity Validation – Cybord uniquely identifies the
manufacturer of each component in real-time by analyzing the bottom-side
image, ensuring no counterfeit or incorrect materials are used in assembly.
● Epidemic behavior Recognition – Cybord tracks material quality by its original
package (reel or tray) and alerts for epidemic failures if multiple similar defects are detected, helping prevent faulty materials from being assembled over whole
batches.
● Board-Level data consolidation – Cybord links each component analyzed to a
specific board serial number, enabling the aggregation of component quality
data and scoring of the assembled board.
● Component Reel Package Data Consolidation – Cybord aggregates the quality
data of components by their original package, essential for identifying and
addressing epidemic behaviors.
● Root cause analysis records – Every component analyzed is recorded for future
root cause analysis. The Cybord portal allows querying by board SN, component
package, MPN, and other criteria, facilitating thorough investigations before the
physical board returns.
● Top Marking Pattern Recognition – Using AI for accurate pattern recognition,
Cybord identifies and interprets all signs and characters on a component’s top
side, continually improving with each new component encountered.
● Date-Code/Lot-Code Recognition – Cybord accurately identifies and reports
the date-code and lot-code information for each component, enhancing the
traceability data used.
● AVL Violation Recognition – Cybord identifies the actual manufacturer part
number of each component, helping customers verify and enforce their
Approved Vendor List (AVL).
● Traceability Visual Verification – Cybord offers enhanced comparison between
collected traceability logs and recognized traceability information, allowing
customers to validate and correct data before usage.