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This paper approaches the use of machine vision as an automation tool for verification tests in automotive Instrument Panel Cluster (IPC). A computer integrated with PXI modular instruments, machine vision software and Integrated Development Environment (IDE) composes the test system. The IPC is verified in closed-loop using the Hardware-in-the-Loop (HiL) technique in which the HiL system simulates all Electronic Control Units (ECUs) that interact with the IPC. Every simulated ECUs signals are sent to the IPC over CAN (Controller Area Network) bus or hardwired I/O using PXI modules integrated with IDE and its responses are captured by cameras. Using machine vision such images are subjected to Digital Image Processing (DIP) techniques as pattern matching, edge detection and Optical Character Recognition (OCR), which can be applied to interpret speedometer, tachometer, fuel gauges, display and warning lights.

As the development of in-vehicle infotainment systems increases, center stack display, digital instrument panels and heads-up displays become much more common in modern vehicles. Several of these screens are touch displays and in order to execute automated test in those displays against new iterations of software two solutions are possible: embedded touch simulators or physically touch the screens with external actuators. Although simulators can be more practical and easier to setup, its availability depends on the parts suppliers, not being always the same software and setup for the same test cases. External actuators have advantage to test the software and physical components and have a constant setup, but usually commercial options are expensive and need specialized professionals to configure it as needed.