Explore how automating smartphone testing improves accuracy, and quality assurance during device refurbishment processes.

Discussion with Zebra Technologies on challenges & limitations of conventional device testing & advantages of automated device commissioning.

Deep dive into device response time measurement using a black-box approach that replicates real-world touchscreen usage. Detecting inconsistencies in device behavior offers insights into how to improve user experience.

Further improving the functionality of the MATT software, the latest update refers to adding Python control to MATT Framework and implementing bidirectional code translation with JSON.

Deep dive into device response time measurement using a black-box approach that replicates real-world touchscreen usage. Detecting inconsistencies in device behavior offers insights into how to improve user experience.

Smart retail — those retail outlets that use data and automation for better decision-making and store operations — can provide retail managers with insights and help them unlock efficiencies that enable better customer service and improve revenue potential.  Smart retail uses data and technology to upgrade customer service and achieve operational excellence in supplier and […]

Robotics is the natural language for Adapta. This is why we are excited to bring our smart retail robot ERIS to the Start-up Hub at EuroShop 2023!  Held in Düsseldorf, Germany from February 26 to March 02, EuroShop 2023 is a world-leading retail trade show. Retailers from all over the world and industry service providers […]

Authored by Ionut Preda and originally published on 09.11.2022 in Mindcraft Stories, a publication on emerging technology ERIS, a robot specialized in scanning shelf labels created by Adapta Robotics, will soon be seen in supermarkets all across Romania If you've ever been annoyed about a supermarket purchase that cost more at the checkout than the […]

For today’s retail industry necessities, between a hand-held scanning solution and an autonomous robot, there is a middle ground option, less daunting and more budget friendly.

Training robust AI models can be challenging when using crowdsourced or publicly available datasets. The most useful neural networks are ones that replace expert knowledge to solve real problems.