Title

APPLIED AI : A NEW VISION LAYER FOR INDUSTRIAL TRACKING AND PROCESS INTELLIGENCE

APPLIED AI : A NEW VISION LAYER FOR INDUSTRIAL TRACKING AND PROCESS INTELLIGENCE

Authorship

PEREIRA, EDSON JOSE VALENTIM; CRISTÓFARO, MARIANO ALBERTO DE; GONZALEZ, ARIEL; SILVA, SAULO LEANDRO FARIA DA

PEREIRA, EDSON JOSE VALENTIM

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CRISTÓFARO, MARIANO ALBERTO DE

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GONZALEZ, ARIEL

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SILVA, SAULO LEANDRO FARIA DA

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DOI

10.5151/2594-5335-42636

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Abstract

This paper presents the evolution of Rodeo AI from a basic video analytics device focused on common object detections to a specialized industrial tracking platform. Initially used for identifying the presence of people or vehicles in camera scenes, Rodeo AI has evolved into a robust and scalable system designed for the real-time tracking of assets, materials, and equipment across industrial operations. By combining edge AI, deep learning, and integration with factory systems, Rodeo AI enables the digitalization of critical workflows such as material flow, loading and unloading operations, and inventory validation. The platform has been successfully deployed in steel plants, yards, and logistics centers to track coils, slabs, trucks, and cranes, contributing to productivity gains, traceability, and decision-making. This article explores the technological journey, use cases, and architecture behind Rodeo AI’s transformation into a core solution for industrial tracking

THIS PAPER PRESENTS THE EVOLUTION OF RODEO AI FROM A BASIC VIDEO ANALYTICS DEVICE FOCUSED ON COMMON OBJECT DETECTIONS TO A SPECIALIZED INDUSTRIAL TRACKING PLATFORM. INITIALLY USED FOR IDENTIFYING THE PRESENCE OF PEOPLE OR VEHICLES IN CAMERA SCENES, RODEO AI HAS EVOLVED INTO A ROBUST AND SCALABLE SYSTEM DESIGNED FOR THE REAL-TIME TRACKING OF ASSETS, MATERIALS, AND EQUIPMENT ACROSS INDUSTRIAL OPERATIONS. BY COMBINING EDGE AI, DEEP LEARNING, AND INTEGRATION WITH FACTORY SYSTEMS, RODEO AI ENABLES THE DIGITALIZATION OF CRITICAL WORKFLOWS SUCH AS MATERIAL FLOW, LOADING AND UNLOADING OPERATIONS, AND INVENTORY VALIDATION. THE PLATFORM HAS BEEN SUCCESSFULLY DEPLOYED IN STEEL PLANTS, YARDS, AND LOGISTICS CENTERS TO TRACK COILS, SLABS, TRUCKS, AND CRANES, CONTRIBUTING TO PRODUCTIVITY GAINS, TRACEABILITY, AND DECISION-MAKING. THIS ARTICLE EXPLORES THE TECHNOLOGICAL JOURNEY, USE CASES, AND ARCHITECTURE BEHIND RODEO AI’S TRANSFORMATION INTO A CORE SOLUTION FOR INDUSTRIAL TRACKING

Keywords

Industrial Tracking, Computer Vision, Material Flow, Video Analytics, Edge AI, Traceability, Rodeo A

Industrial Tracking, Computer Vision, Material Flow, Video Analytics, Edge AI, Traceability, Smart Operations