Capture the world in 3D, with your Raspberry Pi.
Depth sensing for the masses.
You are not just getting another camera module, you are getting an entire solution exclusively built and optimized for Raspberry Pi (30 fps on Pi 4 & CM4.*), a dedicated package deal that will give you a head start for computer vision at the edge, a small yet powerful tool ready to take on some big jobs.
ToF stands for “Time of Flight”.
A ToF Camera emits modulated lights (CW method) and uses the time it takes for the said lights to be reflected back to measure the distance/depth info of any given object/scene, and you can obtain depth data (X,Y & Z coordinate position) in every pixel.
Light travel is calculated with d=C/2f, where C is the speed of light and f is the modulation frequency.
Getting ToF tech affordable is our top priority.
We are not dropping names, we only want you to know that a decent ToF camera starts at $29.99. And it’s not about pumping the specs, it’s about making “Raspberry Pi for industry” more “robust” and “scalable” than ever before.
The right hit at the sweet spot.
Here’re the facts behind the specs: 4m is a good enough operation range for good enough amount of applications. And if you pair the camera with our cable extension kit, you will have a ToF module with a 4m/2m working range and a 10-meter cable to move around!
Yes, you can use it under sunlight too.
With some trial-and-errors, and through innumerable experiments, we gave the camera a laser (VCSEL) that operates at the 940nm wavelength, which can well suppress interferences from ambient light in outdoor environments. So yes, it’s not just a ToF camera limited to indoor uses.
C, C++, or Python? Pick your pick.
The camera can work as a standard V4L2 device and it’s available in all three languages, so you can use it with your preferred machine vision libraries (OpenCV/TensorFlow/etc.) without breaking a sweat.
More applications will be inspired.
Your “hello world” of depth sensing starts with raw, depth, and amplitude frames. Being able to acquire depth data will produce better/more accurate results for CV algos designed for a wide range of 3D, tracking, recognition, estimation, reconstruction, navigation, localization, and classification tasks.
The camera can also be calibrated with RAW frame data for improved precisions. Please get in touch with us if you want the camera to be customized.
In real-time, on your Raspberry Pi.
Mapping, 3D, and photogrammetric (etc.) applications that require point coulds generated from a ToF camera’s captured 3D depth data can be easily achieved on a low-power, RPi-based system, with less than 100 bucks.
|Specification||Arducam ToF Camera|
|Price||$29.99 – Kickstarter|
$50 – MSRP
|Number of Effective Pixels||240×180|
|Max. Frame Rate|
|Max. Depth Frame Rate|
|Raspberry Pi OS||Bullseye (32-bit/64-bit)|
01/28/22 or later releases
Power supply for Pi should be at least 5V/4A
|Supported Platforms||Pi 2/3/CM3/4B|
Zero W/Zero 2 W/CM4
|Viewing Angle||70° Diagonal|
|Measurement Distance||Far Mode: 4m|
Near Mode: 2m
|Light Source||940nm VCSEL illuminator|
|Board Size||38mm x 38mm|
|Output Formats||4-phases RAW Frame, |
Grayscale Amplitude Frame
Getting embedded systems ready for the future of computer vision.