ISSN 2594-5335
27º Seminário de Automação e TI — Vol. 27, Num. 27 (2025)
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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
Palavras-chave
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
Como citar
Pereira, Edson Jose Valentim; Cristófaro, Mariano Alberto de; Gonzalez, Ariel; Silva, Saulo Leandro Faria da.
APPLIED AI : A NEW VISION LAYER FOR INDUSTRIAL TRACKING AND PROCESS INTELLIGENCE,
p. 764-774.
In: 27º Seminário de Automação e TI,
São Paulo, Brasil,
2025.
ISSN: 2594-5335, DOI 10.5151/2594-5335-42636
