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SINTRONES Empowers Smart Manufacturing at Automation Expo 2026
The company will showcase Edge AI platforms designed to help manufacturers deploy AI-powered automation across production lines, robotics, machine vision, and industrial vehicles.
www.sintrones.com
SINTRONES Technology is showcasing its industrial Edge AI computing platforms at Automation Expo 2026, taking place July 22–25 at the Bombay Exhibition Centre (BEC) in Mumbai. The company is exhibiting specialized hardware systems engineered to deploy AI-driven automation across production lines, industrial robotics, machine vision networks, and mobile industrial vehicles.
Edge AI Integration in Industrial Manufacturing
Modern manufacturing facilities are shifting processing architectures away from centralized cloud servers and deploying AI inference engines directly onto equipment on the plant floor. Moving AI workloads to the edge addresses operational constraints such as labor shortages, product assembly complexity, and quality control requirements. Edge intelligence enables real-time response times, synchronized machine control, and production flexibility without compromising system uptime.
Purpose-Built Hardware Platform Configurations
The company is highlighting three edge computing platforms designed for specific factory automation and mobility workloads:
- ABOX-5221 Platform: Engineered for high-throughput, compute-intensive industrial applications requiring rapid AI execution. The architecture supports concurrent AI processing for tasks including robotic guidance, semiconductor wafer handling, inline optical quality inspection, and process optimization. Its modular configuration allows system integrators to scale automation features as production parameters change.
- IBOX-604-G2 Unit: Designed for space-constrained machine enclosures, collaborative robots (cobots), and embedded vision systems. The compact footprint enables direct integration into existing factory equipment to execute real-time AI inference.
- VBOX-3631-(M12X) Mobile Platform: Extends edge AI capability into industrial transport and logistics machinery. Built for Autonomous Mobile Robots (AMRs), Automated Guided Vehicles (AGVs), material handling systems, and outdoor logistics fleets, the rugged unit features locking industrial interfaces to maintain continuous computing, fleet coordination, and asset traceability.
Cybersecurity and Secure Development Standards
Beyond processing performance, the computing platforms integrate hardware and software security controls to safeguard connected industrial networks. Developed in accordance with the IEC 62443-4-1 Secure Development Lifecycle standard, the system design incorporates cybersecurity protection throughout the product engineering phase, assisting manufacturers in securing networked automation systems against cyber vulnerabilities while complying with industrial security standards.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
Beyond processing performance, the computing platforms integrate hardware and software security controls to safeguard connected industrial networks. Developed in accordance with the IEC 62443-4-1 Secure Development Lifecycle standard, the system design incorporates cybersecurity protection throughout the product engineering phase, assisting manufacturers in securing networked automation systems against cyber vulnerabilities while complying with industrial security standards.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
