MATT Robot alongside the MATT software ecosystem can be used to characterize and measure the latency of any type of touch screen. This kind of measurement requires repeatability and high accuracy, which is achieved through the integration with a high-speed camera. The industries which benefit from touch screen latency measurement vary significantly, from Automotive, to Manufacturing, Performance Testing or Software Development. In the following section we cover what is MATT’s role in the mentioned industries.
MATT can be included in any step of the product development cycle. This varies from the R&D phase, where changes need to be validated, to the end of line verification of the entire system, both from a hardware and software perspective. At the same time, in the growing world of OTA (over-the-air) updates, MATT proves to be a reliable tool in stability and regression testing in the context of newly introduced features.
There are use cases where a component’s performance needs to be compared over various devices- that include either touchscreen or buttons to determine its functionality in different scenarios. MATT is an objective benchmarking tool as it can reproduce the same testing conditions over all DUTs, generating results defined only by touch characteristics. For this reason, MATT can be used in certification procedures as part of a specialized laboratory or by independent benchmarking companies on the market. A revelatory example is MATT being used in a battery benchmarking use case by DXOMARK.
Representative for MATT’s capabilities in the automotive industry is a study case defined by latency measurements of an infotainment system while running Android Auto/ Apple Car Play. This task is carried throughout the development phase when, after certain performed actions, the response time of the screen needs to be considered. For instance, when an app icon is tapped on the infotainment system, the app needs to load on the screen in at least X milliseconds. MATT can measure the touch response latency by triggering a high-speed camera from the moment the app icon location is touched. The high-speed camera, being oriented towards the tested screen, starts recording and storing the footage either in its internal memory, or on the PC, depending on the used camera model. The screen response time is later determined by analyzing the video footage, either automatically through computer vision algorithms, or manually, by a human operator, depending on the number of measurements and use case requirements.
In the device manufacturing industry, MATT can perform compliance, latency, and calibration procedures. The integration with a high-speed camera enables touch latency and touch response to be measured with high accuracy. At the same time, MATT’s software suite is easy to integrate with any touch controller software to access the raw data upon a touch gesture, which can provide valuable information for the calibration process.