Industrial-grade depth sensing platform brings sub-1% accuracy, multi-camera stability and Jetson-ready integration for warehouse and automation deployments.
A new 1.2MP continuous-wave indirect Time-of-Flight (iToF) camera by E-con Systems is entering the industrial robotics market, promising high-precision 3D perception for autonomous mobile robots (AMRs), pick-and-place systems, palletization lines and smart agriculture platforms.
The key features:
- 1.2MP depth sensing at up to 60 fps with on-chip depth processing
- <1% depth deviation across short and mid-range distances
- Dual-frequency CW-iToF with multipath suppression
- IP67 enclosure with GMSL2 support for industrial environments
- Multi-camera interference mitigation for fleet deployments
Built around the Hyperlux ID AF0130, the camera delivers simultaneous depth, confidence and IR grayscale streams using CW-iToF technology. It is engineered for tight integration with NVIDIA Jetson Orin platforms, including Orin NX and Orin AGX, positioning it for edge AI-driven robotics and automation workloads.
The system performs on-chip depth computation, reducing host processing overhead while maintaining sub-1% depth deviation across 0.2m–2m and 0.5m–6m ranges. A dual VCSEL illumination architecture balances performance, cost and mechanical constraints, while dual-frequency operation enhances multipath suppression and long-range accuracy.
Designed for real-world warehouse and factory floors, the IP67-rated unit supports GMSL2 cabling for robust, long-distance connectivity. It also incorporates multi-camera interference mitigation, enabling stable operation when several depth cameras are deployed on a single robot or across multi-robot fleets.
A Linux-based SDK with V4L2 drivers, visualization tools and reference applications for box dimensioning and pose estimation is available to accelerate prototyping and production deployment. Interface options include GMSL, MIPI and USB, with optional RGB sensor support for synchronized color and depth capture.
The camera’s global shutter architecture captures and stores all modulation phases simultaneously, minimizing motion artifacts in dynamic scenes. Advanced depth confidence filtering further suppresses reflections, edge noise and unstable pixels critical for reliable obstacle detection, grasp planning and navigation in reflective or low-light industrial settings.
With hardware-level depth processing and Jetson compatibility, the platform targets system integrators seeking deterministic, metric 3D sensing rather than appearance-based depth estimation in robotics and autonomous mobility applications.
