Explore depth-sensing solutions for robotics, 3D face recognition, drones, smart spaces, logistics, people counting, and AR/VR—supported by ToF sensors, camera modules, RGBD cameras, and OEM integration expertise.
3D sensing explained
A 3D time-of-flight (ToF) sensing solution measures the return time or phase shift of emitted light to calculate distance. The result can be a single distance measurement or a depth map in which each pixel represents the distance to a point in the scene.
A production-ready system is more than a sensor. It brings together illumination, optics, processing, calibration, software, mechanical design, and application testing. DOMI supplies components and integrated depth cameras, then helps OEM teams match those building blocks to the deployment environment.
Solution directory
Explore how DOMI sensing modules and cameras address movement, measurement, identity, occupancy, and interaction across demanding deployment environments.
Add 3D ToF depth to RGB and AI pipelines for distance-aware subject selection, auto-framing and face tracking. Explore sensor options, calibration and timing requirements for host systems that control digital cropping or PTZ movement.
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Use 3D ToF depth sensing for touchless gesture interfaces in automotive cabins, appliances and wet-area devices. Explore module selection, interaction-zone design and environmental validation for host-side hand tracking, gesture recognition and device control.
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Build bidirectional people-counting and footfall applications using 3D ToF depth data. Explore camera selection, doorway coverage and validation requirements for host-side entry, exit, occupancy and queue analytics in retail spaces, transport hubs and smart buildings.
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Use depth-only 3D ToF sensing to support fall-detection applications in bathrooms, bedrooms and care rooms. Explore module selection, edge processing and room-specific validation for host-side posture and fall-event analysis without RGB video capture.
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Add 3D ToF or RGB-D depth sensing to cleaning and delivery robots for near-field obstacle, overhang and drop-off perception. Compare camera options, mounting geometry and validation methods for integration with the robot’s navigation system.
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Provide autonomous forklifts with 3D depth data for pallet pose estimation, fork-pocket localization and docking alignment. Explore camera selection, mounting and validation requirements for integrating depth sensing into the vehicle’s perception and control loop.
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Use 3D ToF depth data for static and conveyor-based parcel, box and pallet dimensioning. Explore camera selection, calibration and integration requirements for host systems that calculate dimensions and volume and connect results to DWS or WMS workflows.
Explore solutionSelection guide
Start with the scene and the decision your product must make. Range is important, but reliable deployment also depends on optics, ambient light, target properties, latency, power, interfaces, calibration, and mechanical integration.
Identify the target, minimum and maximum distance, movement speed, object reflectivity, and whether the system runs indoors or outdoors.
Prioritize the depth range, field of view, resolution, frame rate, accuracy, and latency that the application actually needs.
Select a ToF sensor for maximum design control, a camera module for compact integration, or an RGBD camera for ready-to-use depth plus color.
Test ambient light, enclosure glass, thermal behavior, multi-device interference, calibration, interfaces, and production tolerances before release.
Use this shortlist to begin the conversation; final hardware selection should be validated against the complete system requirements.
| Application | Depth outcome | Typical hardware starting point | Key integration factors |
|---|---|---|---|
| AI Auto-Framing & Face Following | Depth-aware presenter position, subject distance and target selection | RGBD camera | Working distance, FOV, RGB/depth sync and host tracking latency |
| Touchless Gesture Control | Hand geometry, gesture zones and touchless interaction events | ToF camera module | Working volume, pixel coverage, gesture complexity and end-to-end latency |
| 3D People Counting & Footfall | Anonymous occupancy, direction and footfall events | ToF camera module | Mounting height, doorway coverage, occlusion, ambient IR and camera interference |
| Privacy-Safe Fall Detection | Privacy-first depth geometry, posture changes and fall events | ToF camera module | Mounting height, blind zones, low-light depth, steam and data governance |
| 3D Obstacle Avoidance | Near-field obstacles, floor transitions and drop-off geometry | RGBD camera | Near-field coverage, reflective floors, perception latency and multi-camera interference |
| Pallet Detection & Docking | Pallet geometry, pose, clearance and docking alignment | RGBD camera | Mounting geometry, trigger timing, motion, material reflectivity and occlusion |
| Dynamic / Static Volume Measurement | Length, width, height and volume from calibrated depth | RGBD camera | Calibration, FOV, line speed, target materials and incomplete-scan handling |
We can help evaluate range, field of view, interface, environmental constraints, and volume-production requirements.
