The Defense Microelectronics Activity (DMEA) has awarded CALCE a contract to assess the effectiveness of machine-vision technologies for determining authenticity and security of microelectronics used in weapons systems. CALCE will lead a blinded round-robin test effort to compare advanced and conventional methods for counterfeit detection. CALCE will also evaluate the technical readiness of anti-counterfeit detection systems used in weapons systems, evaluate currently used automated machine-vision and machine-learning systems, and evaluate and recommend solutions to the integrated circuit supply chain.

For assessment of the legal landscape, CALCE has teamed with the UM Law school to review the current applicable laws, regulations, and policies regarding mitigation of counterfeit electronics. This research will focus on laws and policies that support or hinder development of anti-counterfeit solutions, and recommend new laws and regulations that can improve the development and incorporation of anti-counterfeit solutions and machine-vision technologies to mitigate the counterfeit threat.

For more information on this, please contact Dr Diganta Das.