MATT is a complete testing solution for multitouch devices that incorporate any physical input such as touchscreens or buttons. MATT was designed with the reliability and robustness of an industrial robot, combined with the flexibility and compactness that would make the multitouch testing process easier and faster, in any scenario.
With a custom end effector that emulates any multi-touch gesture, like tapping, pinching, swiping and rotating, two high resolution cameras and an included computer vision API, alongside powerful electronics and robust structure, MATT can perform full automated test cycles for both hardware and software, as a result relieving manual testers of repetitive tasks, providing consistent results and increasing productivity.
MATT comes equipped with a capacitive stylus effector which can move at blazing fast speed. Tap and swipe gestures can be easily mimicked with outstanding accuracy.
Universal Input / Output and communication interfaces allow MATT to easily interact with external hardware components. Adjustable fixtures offer a versatile device mounting solution. Advanced embedded software safely interacts with curved screen devices.
The effector features three capacitive stylus nibs which move independently to replicate natural pinch and rotate interactions. These nibs are serviceable to ensure fitness for any material and capacitance requirements.
MATT has a unique and innovative design suitable for a wide range of testing scenarios. Efficient and simple setup procedures leverage automation to reduce human interaction and eliminate calibration errors.
MATT is a flexible asset, whose potential can be directed towards the specific needs of a company and use case.
MATT’s design is focused on modularity; for this reason, the hardware platform and the API can be seen as different parts. Depending on the application, MATT can be employed either as an embedded tool, performing basic, yet powerful tasks, or as a complete, unified solution.
MATT’s cross-platform software architecture allows it to easily integrate with frameworks dedicated to Machine Learning for image processing. One successful example is Intel’s OpenVINO toolkit, which has enabled MATT to solve captcha tasks, such as selecting the cars from a collection of distinct images. When it comes to integration with AI or Machine Learning Frameworks, MATT’s applications are unlimited.
From detecting production faults and performing calibration processes, to identifying and reporting software inconsistencies, as well as executing more intelligent & challenging tasks, MATT offers all the functionalities underlying physical device testing.
Use case adaptable size (MATT Standard/ MATT Extended)
Advanced users can reference the extensive, low-level serial protocol documentation to obtain maximum control over the system’s movements and trajectories. The embedded, industrial USB3 Vision camera is accessible to third-party computer vision toolkits like NI Vision Builder™, OMRON AutoVision™ and many more.
Every MATT robot can be controlled independently, on the network, using the included software suite. Its powerful and easy-to-use Python API offers adaptability in controlling the testing process in both multi-robot and multi-device scenarios simultaneously, achieving unmatched flexibility.
Being fully conceived, designed and assembled in-house by our dedicated engineers and developers, it enables the adaptability of custom integration requirements, including size and features.