Next-Level Time-of-Flight Technology with Nion by IDS

3D ToF Camera with 1.2 MP: High-Resolution Depth Imaging for Industrial and Outdoor Applications

The Nion 3D ToF camera sets a new benchmark in industrial imaging. With a 1.2 megapixel (MP) resolution at 30 fps, it delivers highly accurate, real-time depth data—even under challenging lighting conditions.

Housed in a rugged IP67-rated enclosure, the camera is designed for both indoor industrial environments and outdoor use in direct sunlight. It enables reliable 3D sensing with exceptional detail and flexibility across a wide range of applications.

What Is a 3D ToF Camera and How Does It Work?

A Time-of-Flight (ToF) camera measures distance by emitting light and analyzing its return. The Nion camera uses indirect Time-of-Flight (iToF) technology.

Instead of measuring the direct travel time of individual light pulses, iToF calculates distance based on the phase shift of a modulated light signal between emitter and sensor.

Key advantages of iToF technology:

  • Per-pixel depth measurement in parallel
  • High frame rates for dynamic scenes
  • Compact and efficient 3D camera design

At its core is the 1.2 MP AF0130 sensor from onsemi’s Hyperlux ID family, enabling precise depth acquisition—even for moving objects.

1.2 MP Resolution: More Detail Than VGA ToF Cameras

Compared to conventional VGA ToF cameras, Nion offers up to 4× higher resolution with its 1.2 MP sensor.

Benefits include:

  • Enhanced surface and structure detail
  • Sharper edge definition in 3D images
  • Improved detection of small objects
  • More accurate 3D measurements

This high XY resolution is especially valuable for quality inspection, robotics, and automation.

Reliable Depth Data in Any Lighting Condition

Ambient light is one of the biggest challenges in 3D imaging. The Nion 3D ToF camera is engineered to maintain stable performance across varying lighting conditions.

Ideal for environments such as:

  • Industrial production facilities
  • Logistics centers
  • Outdoor areas with direct sunlight

Whether under low light, artificial lighting, or bright sunlight, the camera consistently delivers reliable depth information.

Motion-Accurate Depth Imaging Without Blur

The camera integrates:

  • Global shutter technology
  • On-pixel memory
  • High-speed readout architecture

This combination ensures distortion-free capture of fast-moving objects without motion blur.

Depth processing is performed directly on the sensor in real time, resulting in:

  • Zero additional latency
  • No need for external processing
  • Increased system efficiency

 

One Camera for Indoor and Outdoor Use

The system uses 940 nm active illumination, optimized for the sensor’s spectral sensitivity. This allows seamless operation in both indoor and outdoor environments.

Key advantages:

  • Single device for multiple environments
  • Reduced system complexity
  • Flexible deployment

 

Easy Integration with GigE Vision and IDS peak

The Nion camera is designed for fast and straightforward integration into existing systems.

Integration features:

  • Support for the GigE Vision standard
  • User-friendly IDS peak SDK/API
  • High compatibility with machine vision systems

This enables rapid deployment in 3D vision, automation, and industrial imaging applications.

 

Typical Applications of 3D ToF Cameras

The Nion is ideal for a wide range of use cases, including:

  • Industrial automation and robotics
  • Quality inspection and metrology
  • Logistics and object detection
  • 3D measurement and volume estimation
  • Outdoor 3D sensing applications

 

Conclusion: High-Resolution 3D ToF Camera for Demanding Applications

The Nion 3D ToF camera with 1.2 MP combines high resolution, robust design, and reliable depth sensing in a single system.

It is the ideal solution for businesses that require:

  • High-precision 3D data
  • Stable performance in changing lighting conditions
  • A single camera for both indoor and outdoor environments

With its advanced iToF technology, Nion sets a new standard in 3D imaging and machine vision.