May 5–7, 2026 | Santa Clara, California, USA
Booth 739
E-TECH joined Sensors Converge 2026 in Santa Clara, California, bringing together sensor technology, engineering and manufacturing professionals from across the industry.
For us, the exhibition was more than an opportunity to showcase our automotive sensor components. It was also a chance to see how sensing technology is evolving alongside AI, robotics and intelligent automation.

From Sensors to Intelligent Systems
One of the most noticeable trends at the show was the growing connection between sensors, AI and robotics.
Technologies such as robotics, AI agents, machine vision and intelligent automation are pushing sensors beyond simple data collection. Sensors are increasingly becoming part of systems that can perceive their surroundings, make decisions and respond in real time.
This shift is creating new demands for reliable, compact and precisely manufactured components across a wide range of applications.

Where Precision Components Fit In
At the E-TECH booth, we showcased automotive sensor components, sensor housings, precision metal parts, connectors and custom plastic components.
Behind these products is a manufacturing system covering mold design, injection molding, CNC machining, turning, insert molding and overmolding. This allows us to support customers as their designs move from development and prototyping into production.
With experience supporting Tier 1 sensor programs and an IATF 16949-certified quality system, we understand the importance of consistency and reliability in demanding applications.

Looking Ahead
Sensors Converge 2026 gave us a broader view of where the industry is heading—from traditional sensing to AI-powered, connected and increasingly autonomous systems.
As these technologies continue to develop, E-TECH will keep focusing on what we do best: turning demanding designs into reliable, production-ready components.
We look forward to continuing the conversation with engineers, technology companies and sensor manufacturers building the next generation of intelligent systems.