Stereo cameras mimic human vision by using two lenses separated by a fixed distance. Each camera captures the same scene from a slightly different angle, and software analyzes how objects shift between the two views to calculate distance. This approach offers relatively standard camera hardware, keeping costs reasonable, but requires distinct visual features to match between images and suffers accuracy degradation with distance.

Time-of-Flight sensors abandon triangulation entirely, instead measuring how long light takes to travel to an object and back. Because each pixel independently measures distance, these sensors generate dense depth maps without requiring texture or suffering mechanical alignment issues. The compact, monolithic design proves more robust than systems requiring precise baseline maintenance.

Time-of-Flight sensors abandon triangulation entirely, instead measuring how long light takes to travel to an object and back. Because each pixel independently measures distance, these sensors generate dense depth maps without requiring texture or suffering mechanical alignment issues. The compact, monolithic design proves more robust than systems requiring precise baseline maintenance.

Uses laser pulses with precision timing circuits to measure absolute travel time. The timing accuracy required limits pixel density, but these systems excel at long-range outdoor applications. Mechanical scanning mechanisms in traditional lidar add cost and complexity, though solid-state variants are emerging. Autonomous vehicles rely heavily on direct ToF for obstacle detection at extended ranges.

Modulates emitted light at high frequency and measures phase differences between outgoing and returning waves rather than absolute time. This phase-detection approach enables much denser pixel arrays because the circuits are simpler than precision timing systems, producing high-resolution depth maps suitable for detailed object recognition. However, traditional iToF implementations struggle in bright ambient light, where continuous-wave modulation becomes overwhelmed by sunlight.

We would like to thank EBV Elektronik and Onsemi for providing us with the Hyperlux ID sensor for evaluation and testing. This opportunity allowed us to thoroughly assess the technology’s real-world performance in industrial conditions.

onsemi’s Hyperlux ID family addresses specific limitations that have constrained iToF adoption in demanding industrial applications. The sensor delivers several key advantages:

• Higher resolution depth mapping: 1280×960 pixel resolution (1.2MP) provides significantly more detailed depth information compared to standard VGA resolution (640×480) ToF sensors, enabling better object detection and finer feature recognition
• Motion artifact elimination: Global shutter operation captures the entire frame simultaneously, preventing distortion in dynamic scenes such as fast-moving conveyor systems or robotic pick-and-place operations
• Extended depth range: Dual-frequency modulation architecture balances precision and range, enabling depth measurements up to 30 meters while maintaining sub-centimeter accuracy at closer distances
• Compact optical format: 1/3.2″ form factor allows integration into space-constrained industrial equipment

The family consists of two variants that differ in their processing architecture and operating modes:

Our evaluation focused on the AF0130 variant, testing its dual-frequency architecture and onboard depth processing across typical industrial scenarios.

The AF0130 operates on the indirect Time-of-Flight principle, where the sensor illuminates the scene with modulated infrared light and measures the phase shift of reflected light at each pixel to calculate distance. This approach enables the 1280×960 pixel array to simultaneously capture depth information across the entire field of view.

The dual-frequency modulation represents the sensor’s key architectural innovation. Lower modulation frequencies extend unambiguous range, while higher frequencies improve depth precision. The sensor can capture both frequencies sequentially in a single frame cycle, delivering both long-range capability and high precision without requiring separate captures or interpolation. The onboard depth processing converts raw phase measurements into calibrated distance values, reducing latency and simplifying integration.

The sensor offers multiple operating modes optimized for different scenarios. Single-frequency modes prioritize either maximum range or maximum precision depending on application requirements. The dual-frequency mode captures both modulation frequencies sequentially, enabling the system to detect objects at extended range while maintaining high precision for nearby features.

Evaluation testing with the AF0130 focused on quantifying real-world performance across the operating conditions typical in industrial automation. The results demonstrated impressive capabilities and practical considerations that integrators should understand for optimal deployment.

Testing confirmed sub-centimeter precision when properly calibrated, with measurements taken at approximately 1.4 meters distance. The sensor’s modulation frequencies provide different unambiguous range windows: the 75 MHz mode offers approximately 2 meters unambiguous range, while the 100 MHz mode extends this to approximately 7.5 meters. Dual-frequency operation successfully resolved depth aliasing artifacts that would corrupt measurements from objects at mixed distances.

Testing in an office environment with sunlight through glass windows revealed the expected vulnerability of continuous-wave iToF operation. The confidence rejection algorithm successfully identified pixels contaminated by ambient light, marking them as invalid. Direct sunlight created characteristic black stripes in the confidence map where the beam entered through windows, and window glass itself appeared black in depth measurements. The desk surface in sunlit areas appeared very dark in the intensity map.

The confidence-based rejection prevented corrupted depth measurements from appearing as valid data, a significant achievement given that traditional ToF and iToF sensors typically fail in direct sunlight conditions. The sensor worked reliably out of the box even in these challenging lighting scenarios.

The AF0131’s Hybrid mode sensor feature can further enhance performance by combining pulsed and phased operation for improved ambient light handling, enabling true outdoor operation and extended range capabilities. This hybrid approach provides higher dynamic range through different threshold parameters for various distances, preventing saturation while maintaining measurement accuracy.

The AF0130 exhibited visible vertical striping in depth maps, with groups of columns showing slight but consistent depth bias compared to their neighbors. This behavior underscores that factory defaults serve as starting points, and proper calibration tailored to the specific application is necessary to achieve optimal performance.

The standard calibration process, while documented, requires careful attention to achieve optimal results. Calibration effectiveness varied across different frequency presets, with some configurations responding better than others. Successful deployment requires understanding which operating modes will work reliably for specific applications, making it valuable to work with experienced integrators who understand the nuances of different operating configurations.

The transition from two-dimensional to three-dimensional sensing enables fundamentally different capabilities in industrial automation. Robots that understand spatial relationships can manipulate objects in unstructured environments. Security systems that measure depth can distinguish genuine subjects from photographs. Automated systems that perceive volume can optimize resource usage in ways that flat images never enabled.

The Onsemi Hyperlux ID sensor family addresses real limitations in industrial depth sensing: the AF0130’s dual-frequency approach with onboard depth processing solves the range-precision trade-off that has constrained single-frequency iToF systems, while the AF0131’s Hybrid mode sensor feature promises to expand iToF capabilities into high-ambient-light environments where continuous-wave systems fail.

However, bridging sensor capability to production deployment requires expertise beyond hardware selection. Successfully integrating the Hyperlux ID demands attention to calibration procedures tailored to specific operating modes and applications, sensor tuning, and understanding which configurations deliver reliable performance for particular use cases. Achieving optimal results requires hands-on experience with the technology’s practical nuances.