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Microelectronics supply chain provenance

US Air Force (AFWERX) Microelectronics Supply Chain Provenance Challenge 

The team is the Champion of the US Air Force (AFWERX) Microelectronics Supply Chain Provenance Challenge.

The aim of the project was to develop the technology that will allow using low-cost hardware and a minimum of human resources, generate Bill Of Materials (BOM) for microelectronic boards in a timely manner and generate the provenance solution using defined BOM. T

The key features of the technology developed include:

  1. Generation of the static information about the board and components (BOM)
  2. Identification of the operational information about the microelectronic boards
  3. Identification of board tempering at component and operational levels

The unique features for the solution of this problem include:

  1. The efficient use of 3D printer-based rig to generate microscopic level optical images of the circuit board
  2. Generation of 3D model of the circuit board
  3. Efficient OCR system for text recognition printed on the microelectronic board
  4. Identification of Tampering Detection Threshold Using Capsule Neural Networks
  5. Virtual Sensor Network (VSN) developed to model unknown analogue and digital I/O relationships within operational boundaries.
  6. X-ray image analysis

The developed technology will allow to generate board BOM and identify the tampering level at component-based and functional levels.

Virtual Sensor Network (VSN)
Virtual Sensor Network (VSN)
3D-printer based rig for optical image generation
3D-printer based rig for optical image generation
Generation of 3D model of the circuit board
Generation of 3D model of the circuit board
Microelectronics Supply Chain Provenance Challenge 
Microelectronics Supply Chain Provenance Challenge 
Microelectronics Supply Chain Provenance Challenge 
Microelectronics Supply Chain Provenance Challenge 
Microelectronics Supply Chain Provenance Challenge 
Microelectronics Supply Chain Provenance Challenge 
Photo of the team
Photo of the team
Photo of the team
Photo of the team

Meet the Principal Investigator(s) for the project

Dr Tatiana Kalganova
Dr Tatiana Kalganova - DEGREES AWARDED PhD Napier University Research-engineer degree Belarusian State University of Informatics and Radio-electronics, Minsk, Belarus MSc (distinction) Belarusian State University of Informatics and Radio-electronics, Minsk, Belarus ACADEMIC POSTS 2000-present Lecturer Brunel University London 2003-2011 Business Fellow London Technology Network, LTN Link between research activities at Brunel University London and industry 1997-2000 PhD student Napier University 1994-1997 Research Assistant Belarusian State University of Informatics and Radio-electronics

Related Research Group(s)

machine digital (3)

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AI Social and Digital Innovation - Social, economic and strategic effects of AI and associated technologies. Impact of AI and related technologies on societies, organisations and individuals.


Partnering with confidence

Organisations interested in our research can partner with us with confidence backed by an external and independent benchmark: The Knowledge Exchange Framework. Read more.


Project last modified 20/07/2021