Technology

The Science
Behind Cybord

Cybord technology is based on visual Deep-AI algorithms and big data, adding a new dimension of components visual analytics to the SMT machine metadata created in the production line.

Advanced deep network that learns from diversity

Cybord developed a unique visual Deep-AI algorithm that analyzes each component based on a vast database of billions of electronic components images. This process provides accurate analysis utilizing a high-speed and efficient method.

kingfisher for diagram
Verify Authenticity
Homogeneity
Marking decoding
age repeater
Verify Manufacturer
Homogeneity
Age verification
Identify low-quality/defects
Corrosion identification
osprey 1
Verify traceability
Identify manufacture
Marking decoding

Top Inspection

Reel Incoming

kingfisher for diagram
Verify Authenticity
Homogeneity
Marking decoding

Bottom Inspection

Pick & Place Process

Incoming WarehouseSMT LineSMT LineSMT Line13
age repeater
Verify Manufacturer
Homogeneity
Age verification
Identify low-quality/defects
Corrosion identification

Top Inspection

AOI at SMT Line

Incoming WarehouseSMT LineSMT Line1
osprey 1
Verify traceability
Identify manufacture
Marking decoding

AI and Big Data Analysis in Under 100ms

Homogeneity

A single reel or a batch may have mixed parts within them

Cybord analyzes the external physical characteristics of all components in the reels, using Aquila for verifying all characteristics of the bottom side of the component.

In addition to the physical characteristics, Kingfisher and Osprey implement an AI marking technology to verify they have the same date code, lot code, and batch, and presents alerts on suspected findings.

Identify Manufacturer

The Cybord innovative mechanism has trained a Deep-AI model based on Big Data of images to identify components characteristics and distinguish between them.

The system identifies the original manufacturer and compares it to the documentation. This ensures that the intended component manufacturer is used in accordance with component documentation and AVL (Approved Vendor List).

Corrosion & Age Verification

Leads are soft metals sensitive to humidity and oxidation.

Corrosion occurs as a result of poor storage conditions and humidity. The surface of the soldering leads changes from smooth to rough with time, impacting the board’s life.

Based on the images taken, the smart Cybord algorithm is able to estimate the age level of corrosion on a component, and present alerts, to prevent corrosion and soldering issues.

Defects

Components may have cracks, dents, voids, contaminations, peel-offs, and other types of defects.

Cybord identifies defects that are on the packaging or surface of the items. Most manufacturing defects and leads defects will be found on the bottom view by Aquila, which checks all components bottom and leads, while Kingfisher and Osprey check all top issues, to ensure the material is in mint, intact condition, and presents alerts on defective components.

Marking Decoding

Identifying markings enables traceability of the components.

The Cybord Visual-AI algorithm detects and analyzes the meaning of each marking, which represents different characteristics, such as part number, manufacturer, country code, date code, lot code, for a higher level of traceability.

Electronic Manufacturing Traceability & Counterfeit Standards

IPC-1783
International standard for component-level authentication
IPC-1782B
Standard for Manufacturing / Supply Chain Traceability of Electronic Products
ISO-26262
Is an international standard for functional safety in the automotive industry
AS-6081
Fraudulent/Counterfeit Electronic Parts: Avoidance, Detection, Mitigation, and Disposition - Distributors
AS-6174A
Counterfeit Materiel; Assuring Acquisition of Authentic and Conforming Materiel
AS-5553
Counterfeit Electronic Parts; Avoidance, Detection, Mitigation, and Disposition

Contact Us

info@cybord.ai

Cybord Inc. 247W 30th Street, New York, US

Cybord LTD. Derech Menachem Begin 150, Tel Aviv-Yafo, 6492105 Israel

 

 



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