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Industrial 3D cameras

ifm develops 3D cameras, based on pmd ToF imagers, for industrial applications. These cameras are characterized by their robust, stable point clouds, repeatable measurements in all environments and flexibility in software interface. If takes advantage of the scalability of the pmd ToF technology by offering two hardware platforms with variations in housing size, range, field of view and cost.

O3D Hardware Platform

The O3D is the “flagship” hardware platform from ifm. Based on the 352 x 288 (100k) pixel imager, the O3D platform calculates the full point cloud onboard through the use of a quad core Imx6 processor. This processor is also available to the user for the calculation of custom algorithms deployed on the camera (via an OEM partition). For more technical details see the O3D camera data sheet.

The key features of the O3D platform are:

O3X

The O3X platform is designed for applications that are push the barriers of both size and cost. Based on the 224 x 172 (38K) pixel imager, the O3X platform calculates the full point cloud onboard through the use of a dual core Imx6 processor. 24V power and Ethernet communication is managed via pigtail cables to reduce the overall size and increase mounting flexibility.

O3D / O3X camera feature comparison

Sensor
Family
Imager FoV Range Accuracy at 2m
(18% Target)
Light
Source
Point Cloud
Processing
Algo
Processing
Power Communication Size (mm)

O3D
352 x 288 40 x 30, 60 x 45, 70 x 54 0.5 - 8m +/- 7mm IR LEDs (4) Onboard Onboard 24V DC Ethernet 72 x 65 x 83

O3X
224 x 172 60 x 45 0.5 - 3m +/- 20mm Vertical Cavity Side Emitting Laser (VCSEL) (1) Onboard Offboard 24V DC Ethernet 80 x 44 x 21

 

Software Interface

Part of our software philosphy is to reduce the level of friction between connecting to the hardware and receiving the point cloud data in the host PC. To this end, all ifm industrial cameras communicate via Ethernet and support both Windows and Linux operating systems. Interfaces and code examples for C++, Python and ROS are also readily available for download from ifm Github. As well as a point cloud visualization tool, called Vision Assistant.