ToF Depth Camera
| Cat | Products Name | Price |
|---|---|---|
| AIMRSE-RV-VS-096 | ToF 3D Volume Measuring Camera | |
| AIMRSE-RV-VS-097 | ToF 3D Positioning Camera | |
| AIMRSE-RV-VS-098 | ToF 3D Mapping Camera | |
| AIMRSE-RV-VS-099 | Slim 3D Depth Camera | |
| AIMRSE-RV-VS-100 | ToF 3D People Counting Camera | |
| AIMRSE-RV-VS-101 | IP67 3D Obstacle Avoidance Camera | |
| AIMRSE-RV-VS-102 | Embedded 3D Vision Camera | |
| AIMRSE-RV-VS-103 | ToF 3D Gesture Recognition Camera | |
| AIMRSE-RV-VS-104 | dToF 3D Industrial Scanner | |
| AIMRSE-RV-VS-105 | 3D Defect Detection Camera |
Introduction
A ToF (Time-of-Flight) Depth Camera is an active imaging sensor that measures the distance between the camera and the object for every pixel in the image. By emitting modulated infrared light pulses and measuring the "time of flight" it takes for the light to reflect back to the sensor, the camera generates a high-resolution 3D point cloud and depth map in real-time. Unlike traditional stereo vision, ToF technology offers a compact form factor, high frame rates, and exceptional performance in low-contrast environments, making it a cornerstone for autonomous robotics, logistics, and human-machine interaction.
Working Principle
1. Signal Emission
The camera's integrated illumination unit emits synchronized pulses of near-infrared (NIR) light across the entire scene simultaneously.
2. Reflection Capture
The light bounces off targets and returns to the high-speed CMOS sensor, which captures the reflected photons with nanosecond precision.
3. Phase Shift Analysis
Onboard processors calculate the phase shift or time delay between emission and reception to determine the exact distance (Z-axis) for each pixel.
4. 3D Map Output
The data is converted into a calibrated 3D point cloud or depth map, ready for navigation, volume analysis, or object recognition.
Key Technical Specifications
-
Real-Time 3D Acquisition
Capable of high frame rates (up to 60-120 FPS), enabling the capture of fast-moving objects and dynamic scenes without motion artifacts. -
Ambient Light Suppression
Equipped with advanced NIR filters and pulsed modulation technology to ensure stable depth performance even in indoor environments with varying light. -
Millimeter-Level Accuracy
Optimized for precision within defined working ranges, providing sub-centimeter accuracy for logistics sorting and robotic picking. -
Wide Field of View (FOV)
Designed with specialized wide-angle optics to cover large areas at close range, ideal for obstacle avoidance and room mapping. -
Low Computational Overhead
Depth processing is performed on the camera hardware, reducing the CPU load on the host controller compared to stereo vision algorithms.
Typical Applications
Mobile Robots (AMR/AGV)
Enabling real-time obstacle detection and SLAM (Simultaneous Localization and Mapping) for autonomous navigation in warehouses.
Logistics & Palletizing
Fast volume measurement of parcels and precise coordinate positioning for robotic palletizing and de-palletizing systems.
Safety & Interaction
Creating "safety zones" around industrial robots and enabling gesture control for intuitive human-machine collaboration.
Engineering Excellence
Our ToF depth cameras are engineered to deliver instantaneous 3D perception with minimal computational drag. By integrating high-speed pulse modulation with advanced noise-filtering algorithms, we provide robots with the real-time spatial awareness needed for safe and efficient operation in dynamic environments.
Reliability & Standards
Our ToF cameras are built to withstand the rigors of industrial motion and environmental variability:
- Eye Safety: Class 1 Laser Safety compliant NIR emitters for safe operation in human-populated areas.
- Multi-Camera Sync: Hardware triggering and frequency hopping to prevent crosstalk in multi-camera environments.
- Durability: Vibration and shock testing according to industrial standards (IEC 60068).
- Interface Versatility: Native support for GigE Vision (PoE), USB 3.0 Type-C, and MIPI CSI-2 for direct integration with ARM-based embedded platforms.
Software Ecosystem
Seamlessly bridge the gap between raw depth data and intelligent robotic action with our comprehensive software tools:
- Full support for ROS (Robot Operating System) and ROS2 drivers.
- Open-source SDKs for PCL (Point Cloud Library), OpenCV, and Python.
- Embedded support for NVIDIA Jetson and Raspberry Pi platforms.
- 3D visualization tools and noise-filtering algorithms included.
Related Products
Technical data represent typical values. As applications vary, we recommend consulting our technical team to ensure the best fit for your specific requirements.
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