GelSight, a pioneer in tactile intelligence technology, announced the release of its GelSight Mobile 3.2 software package, bringing significant new capabilities to GelSight Mobile systems. GelSight Mobile 3.2 digitizes tactile sensing for many new applications with an innovative set of new features that bring outdated, manual processes into the digital age.
Recommended AI News: LZG International, Inc. (FatBrain AI) Announces Plans to Uplist to OTCQB Venture Market
“About 3 million inspectors work on production and maintenance lines performing manual touch inspections every day to make critical decisions about whether a plane is fit to fly, or an automotive part meets quality standards to keep drivers safe”
GelSight Mobile 3.2 takes the capabilities of the portable GelSight Mobile systems beyond quantitative metrology by enabling non-dimensional inspection and measurement with a first-of-its-kind tactile artificial intelligence toolbox. This new software also features Operator Mode, which streamlines the user interface and allows for the customization of analysis features. Additionally, for line workers who need to continually improve productivity, GelSight has made substantial structural improvements to the core analysis algorithm, reducing analysis compute time by 2-10x in batch mode analysis routines compared to GelSight Mobile 3.0. Furthermore, GelSight Mobile 3.2 adds surface roughness analysis, a feature that is a game changer in the world of portable surface metrology and texture understanding.
Billions of manual tactile interactions occur every day. With this software release, GelSight is enabling the digitization of many of these previously manual, qualitative measurements performed with the inspector’s eye or fingernail. Millions of Industry 1.0 inspections have resisted quantification, but now with GelSight Mobile 3.2, these inspections are advancing to Industry 4.0, with major benefits to production quality and velocity. For the first time, using artificial intelligence, engineers can train the Gelsight Mobile system to replicate assessments that previously required touching and feeling a surface, enabling them to digitally quantify these assessments in a repeatable, user agnostic process. For example, GelSight Mobile 3.2 users can now digitally characterize the texture of polished metals on consumer products or dashboards in a car, thanks to this new software release pairing tactile sensing and AI for the first time.
Recommended AI: Microsoft 365 Security Features Protect Business Data from Evolving Threats
“About 3 million inspectors work on production and maintenance lines performing manual touch inspections every day to make critical decisions about whether a plane is fit to fly, or an automotive part meets quality standards to keep drivers safe,” said Dennis Lang, Chief Business Officer at GelSight. “Together with the new AI platform, GelSight Mobile’s superhuman touch sensor with micron-level resolution is helping to automate and standardize these processes, mitigating human error in these crucial situations.”
Key features of the GelSight 3.2 software update include:
- AI Toolbox for Non-Dimensional Measurement – Users of GelSight Mobile 3.2’s AI Toolbox can create their own AI models to apply touch sensing to many tasks which previously had no simple path to digitization. The AI Toolbox supports three types of tasks: classification, detection, and segmentation. Each type of task has various applications, such as quality grading of the materials of an automotive interior, which is a classification problem, corrosion detection, which is a detection problem, and scratch recognition, which can be treated as a segmentation problem.
- Operator Mode – Allows any user to access GelSight Mobile’s capabilities with a streamlined user interface that gives customers the ability to customize routines and select pass/fail criteria.Operator Mode is password protected and simplifies repeated measurement in a clean and structured way with preset configurations.
- Surface Roughness Analysis – GelSight Mobile systems natively capture area data within milliseconds. Adding surface roughness, an area measurement, is a natural extension of the GelSight solution portfolio. With GelSight Mobile 3.2, surface roughness analysis is now available in addition to the previously released profile roughness capabilities. With the click of a button, customers can now perform repeated digital Sa and Ra measurements, revolutionizing the way roughness measurements are currently done.
Recommended AI News: Prisma Cloud Delivers Context-Aware Software Composition Analysis to Secure Deployment of Open Source Software
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.