ToF camera for Raspberry Pi and Jetson Nano

€59.00
(Price Tax included)
In stock.
  • 38 x 38 mm camera module with Time of Flight technology for real-time point cloud and depth mapping

  • Measures up to 4 meters away and accuracy less than 2cm

  • Equipped with a MIPI-CSI 2 connection

  • Compatible with Raspberry Pi and Jetson Nano boards

Reference :

B0410

Quantity

Contents

  • Camera module Arducam ToF

  • 15 cm FPC cable

  • 2-pin Dupont cable

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Features

  • Viewing angle: 70° diagonal

  • Image size: 1/6

  • Maximum frame rate: 120fps

  • Maximum depth frame rate: 30fps, 4-phase

  • Raspberry Pi OS Bullseye (32-bit/64-bit) - 28/01//2022 or later

  • Compatible with : Pi Zero W/Zero 2W*, Pi 3, Pi 4 and CM3/CM4

  • Modulation frequency: 75MHz / 37.5MHz

  • Built-in 940nm laser for indoor and outdoor use so no external light source required

  • Light source: VCSEL 940nm illuminator

  • Output formats: 4 phase RAW frame, depth frame, grayscale amplitude frame

  • V4L2-based video core device

  • SDK: C/C++/Python for user space depth map output and sample source code

  • ROS ready

  • Dimensions: 38 x 38 mm

*To use the camera on Pi Zero and 2 W, you need this adapter.

TIME OF FLIGHT: for accurate measurements with light

Time of Flight technology is a technique for measuring time of flight. The principle of time of flight is based on the propagation time of a wave in a medium, to go from a transmitter to a detector (sensor, camera, ...). On the basis of this data, the sensor establishes the distance of this object.

This technology works even when there is little or no light. The time of flight is considered as an "active" imaging technique therefore a technique that relies on the projection of its own light. Therefore, it does not need an external light source to scan its environment. However, the technology is sensitive to strong waves emitted by various light sources (shiny surfaces that reflect light, strong energy source).

Useful documentation

First steps with the camera Arducam ToF

SDK on the Arducam ToF camera

Point cloud with Arducam ToF camera

First steps with Nvidia Jetson

Github

Video

B0410
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