Detect Component-Level Anomalies

Cybord Visual AI leverages deep learning models to analyze images of components—captured during pick-and-place, AOI, or final assembly stages. These images are compared against extensive databases of known-good components to detect discrepancies in top markings, physical wear, probe marks, and other indicators of tampering or inauthenticity.

Ensure Component Authenticity

By leveraging component imaging, deep machine learning algorithms, and data-driven forensic analysis, Cybord enables manufacturers to systematically verify the authenticity to assure safety and security of every product. 

Achieve Unmatched Micro Traceability

Cybord’s powerful AI pattern recognition engine extracts key traceability parameters from component top markings—including date code, lot code, manufacturer part number, country of origin, and more.
By visually verifying each component, OEMs gain powerful visibility into their installed base, and for the first time ever, physically enforce AVL.

Visual AI PCBA Inspection

Cybord's ShieldScan, is a breakthrough visual AI PCBA inspection solution. Ensuring complete board integrity and cyber-physical security, it delivers unmatched anomaly detection and 100% component verification. 

ShieldScan employs AI models to learn natural board-level variations, ensuring highly accurate results and eliminating false positives typically associated with "golden-unit" approaches. ShieldScan automatically detects anomalies, rogue components, and compliance risks with no human intervention.