We are releasing the full source of the robot-vision demo we built for MWC Barcelona 2026: a web-based controller for the Dobot Magician arm paired with an Intel RealSense depth camera.
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Rosepetal AI will be exhibiting at VISION 2026 — the world's leading trade fair for machine vision — in Stuttgart, Germany, October 6–8, 2026. Visit us at the Startup Area to discover our proprietary Deep Learning solutions for industrial inspection.
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Connect and control Basler GigE cameras directly from the Visual Workflow Builder with three dedicated nodes for streaming, configuration, and triggering.
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Connect and control Irayple GigE cameras directly from the Visual Workflow Builder with three dedicated nodes for streaming, configuration, and triggering.
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Connect and control Omron GigE cameras directly from the Visual Workflow Builder with three dedicated nodes for streaming, configuration, and triggering.
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A practical guide to deploying ML models with NVIDIA Triton Inference Server, TensorRT, and custom backends for industrial vision.
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Thank you for visiting Rosepetal AI at 4YFN MWC Barcelona 2026! Read our event recap, watch the highlight video, and explore the future of industrial AI Vision from the Tech Barcelona stand at Talent Arena.
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Experience innovation live from MWC Barcelona 2026 with Rosepetal! Discover our Applied AI & Vision Software live demos and meet our team at the Talent Arena.
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Rosepetal AI will be showcasing its industrial computer vision platform at 4YFN, MWC Barcelona 2026. Join us at Stand 8.1B23, Hall 8 (North) – Talent Arena, March 2–5, 2026 to see real-time AI Vision in action.
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Learn how to optimize AI inference performance through batching, multi-model strategies, and TensorRT conversion for industrial vision applications.
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Efficient fine-tuning: Leveraging legacy models to maintain performance with fewer images.
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Our comprehensive benchmarking platform compares leading detection models—revealing that systematic testing delivers 97.9% accuracy versus marketing claims.
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Benchmarking PyTorch YOLOv8, ONNX, TensorRT FP32/FP16/INT8, and TorchScript runtimes with accuracy, latency, and throughput measurements.
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PaddleOCR and VLM results on faint text etched on curved orthodontic appliances, plus what it takes to deploy robust OCR on the line.
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A four-camera vision system for real-time inspection of cables, detecting geometric, surface, and conductor defects with AI precision in high-speed manufacturing lines.
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An 8-camera 360º computer vision system for the inspection of metal containers, detecting curling and triple-seam defects, and verifying the presence of ear tabs in real time.
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A computer vision solution for pharmaceutical packaging lines, verifying label presence, position, and quality, cap integrity, and barcode readability in real time.
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A deep learning vision system designed to inspect and classify weld quality in real time, detecting displacement, projections, perforations, undercut, and porosity with unmatched precision.
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A computer vision system designed to inspect bread loaves in real time, ensuring perfect size, shape, scoring, and structure consistency across production lines.
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Discover how Barcelona has become a leading hub for industrial innovation, combining manufacturing heritage with cutting-edge AI and automation technologies.
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An advanced deep learning vision system for tuna can analysis—detecting contaminants, foreign materials, and production defects with near-perfect accuracy.
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We continue our journey in Shanghai, where each event opens new doors to innovation and knowledge sharing. Rosepetal AI took part in Spain Innovation Night 2025, organized by ICEX.
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We continue our journey through Shanghai, a city that has become a global hub for industrial and technological innovation. Our CEO Jose Racionero joined Alysia Lee Asp's podcast to discuss AI in manufacturing.
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Rosepetal AI continues its journey through Shanghai, exploring new opportunities for industrial innovation. During the Startup Pitch Competition at S-Tron 2025, we presented our AI-powered quality control solution.
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An AI-driven robotic guidance system for precise laser marking and verification in the food industry, ensuring consistent branding and full traceability in production lines.
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Learn about common pitfalls when implementing AI in industrial settings and how to avoid them.
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Learn how Edge AI is transforming industrial processes with real-time intelligent processing at the edge.
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In the Industry 4.0 era, Edge AI is gaining prominence for its ability to process data locally, in real time, and with high reliability.
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A real case of zero tolerance for error in food industry label accuracy using AI vision technology.
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Argirella Nervosa optimized its seed production line with computer vision and deep learning, achieving fully automated quality control thanks to Rosepetal.
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