Alessio Cappello
Development and evaluation of a platform for the automatic extraction and processing of PCB information from schematics and placement files.
Rel. Paolo Bernardi, Giorgio Insinga. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
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Abstract
The invention of the Printed Circuit Board (PCB) led to different breakthroughs in the electronic world. PCBs are the crucial basis for virtually every electronic device and find application in several fields, ranging from medical to automotive and IoT to aerospace. An extensive number of components find a place on the topmost or the bottom layer, and they are connected following an intricate tangle of connections. Two types of files are essential for understanding how a PCB works: placement (describes the layout of components on one layer) and schematic (reports the connections and the pins for each component). Manually testing a PCB requires looking for a specific component or connection in a placement or schematic file, which in turn requires the tester to look alternatively between the board and the manual.
Avoiding looking at the manual for each component and connection would result in an acceleration of the testing phase, apart from reducing human errors: this can be achieved by synthesising all the information required for testing in an Augmented Reality (AR) application
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