Inference Optimizations: Maximizing GPU Utilization in Industrial AI

Learn how to optimize AI inference performance through batching, multi-model strategies, and TensorRT conversion for industrial vision applications.

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Train From Existing Model

Efficient fine-tuning: Leveraging legacy models to maintain performance with fewer images.

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Don't Trust the Hype, Trust the Data: Inside Our AI Model Benchmark Platform

Our comprehensive benchmarking platform compares leading detection models—revealing that systematic testing delivers 97.9% accuracy versus marketing claims.

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Model Conversion Times for Edge AI Deployment

Benchmarking PyTorch YOLOv8, ONNX, TensorRT FP32/FP16/INT8, and TorchScript runtimes with accuracy, latency, and throughput measurements.

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Benchmarking OCR for Dental Components

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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360º AI Vision System for Cable Quality Inspection

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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360º AI Vision System for Metal Container and Ear Tab Inspection

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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AI Vision System for Pharmaceutical Bottle Inspection

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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AI Vision System for Weld Defect Detection in Automotive Manufacturing

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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AI Vision System for Bread Loaf Formation Verification

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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Exploring Industrial Innovation in Barcelona

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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AI-Based Tuna Can Classification and Defect Detection

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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Rosepetal AI at Spain Innovation Night 2025: Showcasing Spanish Innovation in Shanghai

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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Rosepetal AI in Shanghai: Innovation and Leadership on Alysia Lee Asp's Podcast

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 at S-Tron Shanghai: Showcasing Innovation in Industrial Quality Control

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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Robotic Laser Marking and Reading System

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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Common Mistakes When Implementing AI in Industry

Learn about common pitfalls when implementing AI in industrial settings and how to avoid them.

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Edge AI in Industry: Real-Time Intelligent Processing

Learn how Edge AI is transforming industrial processes with real-time intelligent processing at the edge.

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Edge AI in Industry: Real-Time Intelligent Processing

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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Ensuring Label Accuracy in the Food Industry

A real case of zero tolerance for error in food industry label accuracy using AI vision technology.

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Seed Classification with Deep Learning for Argirella Nervosa

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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