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ESP Spares

SOUTHWEST Exhibitor: ESP supports high-tech industries by providing precision machined and fabricated products, mechanical assemblies, and refurbishment services.

SOUTHWEST Exhibitor: 4D Technology designs and manufactures optical surface gauges and surface roughness profilers for accurate 3D, non-contact, high-resolution measurement of precision surfaces. 4D's gauges measure in < 1 second with one-button operation, and can be used anywhere in the factory or lab - either handheld, combined with collaborative robots for high-volume automation, or in-situ applications. Measure critical components with our industrial portfolio which includes: •4D InSpec®: the first handheld, precision instrument for non-contact surface defect measurement, with a measurement area of 8mm x 8mm. Now with improved resolution down to 2um! •4D InSpec XL®: a surface defect gauge with expanded measurement area of 16mm x 16mm and improved resolution down to 5um! •4Di InSpec AMS: a fully automated 3D, optical inspection system to measure hundreds of callouts in minutes! Quantify features such as chamfer, radius, edge break, and thread geometries and defects such as pits, dings and scratches. •New! 4D InSpec SR: the industry’s first handheld, nm-level resolution surface roughness system for precision machined surfaces, enabling high-resolution 3D (areal) roughness of hard-to-reach areas and large samples right on the shop floor.

Hillary Machinery Inc

SOUTHWEST Exhibitor: Founded in 1984 with multiple sales and service awards to their credit, Hillary Machinery has become one of the largest machine tool distributors in the State of Texas growing its annual sales to over $50 Million, employing 30+ sales, technical support and administrative personnel throughout the state with offices in Dallas,Houston and Tulsa, Oklahoma.

Edge AI: The Future of Industrial Machine Health Monitoring

SOUTHWEST Session: Driven by the rise of Edge AI, industrial machine health monitoring is undergoing a transformative shift—enabling smarter, faster, and more autonomous decision-making at the edge. In this session, we’ll explore how edge computing and artificial intelligence are converging to deliver real-time insights directly at the source of data generation, minimizing latency and enhancing responsiveness. We'll examine traditional Condition-based Monitoring (CbM) methods and their limitations in dynamic industrial environments, then dive into how predictive and prescriptive maintenance strategies—utilizing Edge AI—are anticipating failures, optimizing performance, and reducing costly downtime. This evolution is reshaping the future of industrial reliability, operational efficiency, and long-term asset sustainability.