igusGO vs TrainVision

igusGo: A revolutionary product search platform to improve the technology of your application and save costs to boot. igusGo is a revolutionary cloud platform that redefines product search and machine optimisation through the use of AI. It provides users with a simple, intuitive and efficient way to improve their applications and save costs at the same time. Image-based product search: With igusGo, users can take a picture of their existing application and the surrounding environment. The integrated AI intelligence then analyses the image and displays suitable igus products that can contribute to the lubrication-free design of the application. Optimisation potential: Away from simple product identification, the app also shows optimisation potential. It points out opportunities to improve the user's technology or machines while reducing costs. Solution-based suggestions: igusGo provides users with information about applications that have already been solved involving comparable machines or components. This gives users valuable insight into proven solutions that have worked in similar situations. Direct link to the shop: Once the user has found the right products or solutions, igusGo provides a seamless link to the igus shop. There, users can view further product details, place orders or make enquiries. Advantages of igusGo: Time efficiency: By quickly identifying products and solutions, users can save valuable time they would otherwise spend on manual searches or research. Cost savings: By highlighting optimisation potential, the app helps companies reduce costs by suggesting more efficient and cost-effective solutions. Ease of use: The ease of use of the app by uploading a photo and the automatic product and solution search makes it a user-friendly tool accessible to experts and laymen alike. Direct access to solutions: By integrating case studies and proven solution approaches, users have direct access to best practices and can make better decisions.

Collect the machine learning datasets that don't exist yet. TrainVision turns any iPhone or iPad into a field tool for building domain-specific ML training data — capture images, annotate them on the spot, and export straight to your pipeline. General-purpose models perform well on common objects in controlled settings. They fail wherever their training data runs out — regional crop varieties, low-resource scripts, machinery and environments no web-scale dataset ever captured. TrainVision is built to collect exactly that data, in the real world where it lives. Instead of gathering images now and annotating them later at a desk, your team captures and labels in one step. Every image is automatically tagged with GPS location, timestamp, and device info. On iPad, annotate precisely with Apple Pencil. And it all works offline — data is stored on the device and syncs to the cloud automatically when a connection returns, so you can work in fields, archives, or remote sites with no signal. Because it runs on the devices people already carry, collection scales across distributed teams. Students, field workers, technicians, and researchers gather data naturally during their day — walking a vineyard, inspecting equipment, digitizing a manuscript. Coordinate hundreds of collectors across multiple sites from a single dashboard. Collected data syncs to a central web dashboard, where admins manage projects, review and curate the incoming data, and export in standard formats — COCO, YOLO, Pascal VOC, and CSV — ready for any ML pipeline or platform. KEY FEATURES - Offline-first capture and annotation — no connection required - Automatic metadata: GPS, timestamp, device - Apple Pencil annotation on iPad - Automatic cloud sync when you're back online - Roles for admins and contributors — collect in the field, manage centrally - Web dashboard for review, curation, and project management - Export to COCO, YOLO, Pascal VOC, and CSV - Built for distributed teams collecting at scale BUILT FOR - Archives & cultural heritage — handwritten documents, low-resource scripts - Agriculture & environmental monitoring — crop disease, regional cultivars - Robotics & autonomous systems — deployment-specific perception data - Research labs — proprietary, domain-specific datasets If the dataset you need doesn't exist yet, TrainVision helps you build it — from the field to your model.