e-con Systems®, a global leader in embedded vision solutions, launches DepthVista Helix 3D Continuous Wave iToF Camera, a high-performance depth camera engineered to deliver reliable and accurate 3D perception for wide range of industrial robotics applications, including Autonomous Mobile Robots (AMRs), pick-and-place, bin-picking, palletization and depalletization robots, industrial safety and automation, and smart agriculture.
This new camera is based on a 1.2MP onsemi Hyperlux ID AF0130 global shutter depth sensor, delivering simultaneous high-resolution depth, confidence, and IR grayscale streams using Continuous-Wave indirect Time of Flight (CW-iTOF) technology. It is designed for seamless integration with NVIDIA® Jetson™ Orin platforms.
A key differentiator of the DepthVista Helix is its dual VCSEL illumination architecture, engineered to strike the optimal balance between performance, cost, and mechanical design. To simplify deployment, e-con Systems provides the DepthVista SDK, which includes V4L2-based Linux camera drivers, Depth visualization and control tools, reference applications for Static box dimensioning and Pose estimation. This software framework significantly reduces development time and enables faster evaluation, prototyping, and production deployment.
Key Capabilities of the DepthVista Helix 3D CW iToF Camera include:
- On-camera depth computation with integrated on-chip depth processing ensures exceptional depth precision with <1% deviation over 0.2m–2m and 0.5m–6m ranges.
- High-resolution depth sensing delivering 1.2MP @ 60 fps
- IP67 rated camera design with GMSL2 cable support
- Multi-camera interference mitigation to ensure stable depth performance when multiple cameras deployed on robots or in multi-robot environments
- Compatibility with NVIDIA Jetson platforms, including Orin NX and Orin AGX
- Dual-frequency Continuous Wave iToF operation supporting long-range, high-precision depth measurement with improved multipath suppression.
- Advanced depth confidence filtering to suppress reflections, edge noise, and unstable depth pixels
- Narrow field of view (NFOV) of the depth camera enables precise distance measurement with dense point-cloud data and reduced multipath interference
- GMSL, MIPI and USB interface options to support flexible system integration
- Optional RGB sensor support for simultaneous capture of visual and depth data.
- DepthVista SDK with Linux drivers, sample applications, and depth visualization tools.
“For industrial robotics, depth sensing must deliver metric accuracy with predictable and repeatable behavior under real operating conditions, not just favorable lab performance. With the DepthVista Helix 3D CW indirect Time-of-Flight camera, we provide 1.2MP per-pixel depth measurement based on phase-shift analysis of modulated illumination, enabling robots to reconstruct true scene geometry rather than relying on appearance-based or inferred depth cues. This system-level approach enables reliable detection of fine and low-profile obstacles, improved grasp localization accuracy, and stable navigation even in low ambient light, reflective environments, and optically complex multi-robot warehouse deployments,” said Prabu Kumar Kesavan, CTO at e-con Systems.
“onsemi’s AF0130, part of the Hyperlux ID iToF family, is engineered for precise real‑time 3D sensing in industrial environments. Its global shutter and unique pixel architecture capture and store all phases simultaneously, minimizing motion artifacts. Combined with integrated on‑chip depth processing, the sensor outputs depth, confidence, and intensity data, making it ideal for robotic applications including autonomous mobile robots, material handling systems, and access control systems,” said Steve Harris, senior director of marketing, Industrial and Commercial Sensing Division, onsemi.
e-con Systems | e-consystems.com
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Kirsten Campbell is a Marketing Tornado and junk robot of information. Analytical and creative, she has been in marketing and communications since 2008 and worked with everyone from small businesses to your favorite household names.
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