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Tale of 3 sensors operating in smart factory environments

Sensors—on the front lines of the technological revolution in factory automation—are embedding microprocessors, memory, and communication protocols within the ASIC to offer multiple functions in a single chip, facilitating a new generation of smart factory applications spanning from asset monitoring to industrial robots to manufacturing quality control.

Here is a sneak peek at three sensor designs that enable factory automation applications while ensuring productivity and safety in industrial environments. These sensor designs also incorporate a variety of interfaces to support a wide range of smart factory capabilities.

  1. Depth sensor for automation and robotics

This real-time, indirect time-of-flight (iToF) sensor delivers high precision for long-distance measurements and 3D imaging of fast-moving objects. The Hyperlux ID family of depth sensors from onsemi can capture an entire scene and simultaneously process depth measurements in real time.

The sensor combines global shutter architecture with iToF technology to deliver precise, rapid depth sensing. The iToF technology enables it to measure depth by detecting the phase shift of the reflected light from one or multiple vertical-cavity surface-emitting lasers (VCSELs). And the global shutter technology aligns all sensor pixels with the VCSEL, significantly reducing ambient infrared noise from other lighting sources.

Figure 1 The iToF device further extends depth sensing under dynamic scene conditions while capturing fast-moving objects. Source: onsemi

The company claims that the device’s depth-sensing capability of up to 30 meters is 4 times that of standard iToF sensors. Moreover, the sensor can produce both monochrome (black-and-white) images and depth information simultaneously.

That’s vital in factory automation, where the ability to obtain highly accurate depth information quickly and efficiently is becoming critical to improve productivity and safety. So far, iToF sensors have been limited in their use due to minimal range, poor performance in harsh light, and inability to calculate depth on moving objects.

By providing precision measurements of moving objects and high-resolution images, the Hyperlux ID sensors can help reduce errors and downtime and optimize mission-critical processes in a smart factory. In factory automation and robotics, it facilitates object detection to improve navigation and collision avoidance, enhancing safety on factory floors.

Next, in manufacturing and quality control, this depth sensor can measure the volume and shape of objects, detect defects, and ensure that products meet quality standards. In logistics and material handling, the sensor can measure the positions, sizes, and content ratios of pallets and cargo to optimize storage and transportation processes.

  1. The AI-enabled IMU

An inertial measurement unit (IMU) with two MEMS accelerometers and a gyroscope tunes this sensing device for activity tracking and high-g impact measurement in smart factory applications such as asset monitoring and event data recorders. The IMU also embeds AI processing—a machine learning core—to perform inference directly in the sensor, continuously registering movements and impacts.

STMicroelectronics’ LSM6DSV320X sensor module, available in a single package, comprises three MEMS sensors. One accelerometer, featuring a maximum range of ±16g, is optimized for robust resolution in activity tracking. The second accelerometer, measuring up to ±320g, quantifies severe shocks such as collisions or high-impact events. Then there is a gyroscope with a ±4000dps range.

Figure 2 The sensor module for industrial safety comprises two accelerometers and one gyroscope. Source: STMicroelectronics

The 3-mm x 2.5-mm sensor module enables smart factory applications—such as personal protection devices for workers in hazardous environments—to fully reconstruct events with high accuracy and assess the severity of factory-floor incidents. The inertial module with dual-sensing capability could also be used to accurately assess the health of factory equipment.

  1. Sensor signal conditioner

This signal conditioning IC ensures high accuracy, sensitivity, and flexibility for sensor applications in industrial pressure transmitters, HVAC systems, weight scales, factory automation devices, and smart meters. The ZSSC3240 sensor IC’s flexible configuration makes it highly suitable for smart sensor-based devices for smart factory environments.

Figure 3 The signal conditioner provides higher flexibility for sensor adaptation in smart factory applications. Source: Renesas

Generally, micro-machined and silicon-based sensing elements produce mostly nonlinear, very small signals. And that calls for special technologies to convert the sensor signal into a linearized output.

Renesas’ ZSSC3240 signal conditioning IC facilitates both the design and production of sensor interfaces by providing programmable, highly accurate, wide-gain, and quantization functions, combined with powerful, high-order digital correction and linearization algorithms. So, with a flexible sensor front-end and a broad range of output interfaces, it allows design engineers to develop complete sensing platforms from a single signal conditioning chip.

Special Section: Smart Factory

  • Rethinking machine vision in industrial automation
  • Smart factory: The rise of PoE in industrial environments
  • Precision lasers boost safety and efficiency in smart factories

The post Tale of 3 sensors operating in smart factory environments appeared first on EDN.

1 May 2026
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