Robot perception platform O3R
for camerasfor LIDAR

Robot perception platform - O3R - ifm electronic - for cameras / for LIDAR
Robot perception platform - O3R - ifm electronic - for cameras / for LIDAR
Robot perception platform - O3R - ifm electronic - for cameras / for LIDAR - image - 2
Robot perception platform - O3R - ifm electronic - for cameras / for LIDAR - image - 3
Robot perception platform - O3R - ifm electronic - for cameras / for LIDAR - image - 4
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Characteristics

Applications
for robots
Sensor type
for cameras, for LIDAR

Description

Unites all senses: the new O3R camera platform • - Central processing of image and sensor information • - Synchronisation of several cameras for 360° coverage • - Flexibility through different camera versions • - Standardised SDKs for Docker architecture as well as Python, C++, CUDA and ROS • - Latest time-of-flight imager with high extraneous light stability Integrated and upgradeable vision system The O3R platform is the comprehensive solution for centralised, synchronised processing of image and sensor information in autonomous mobile robots such as AGVs. The simplified integration and reliable interaction of cameras and sensors enables the robust implementation of relevant functions such as collision avoidance, navigation and positioning. In addition, analysis and dimensioning of stationary objects can be implemented, and is handled more effectively by means of several cameras. Examples include the measurement of pallets, logs, packages or suitcases. Powerful and open: the central unit for sensory processing The core of the system is a powerful computing unit called a Video Processing Unit (VPU), which uses a yocto Linux on an NVIDIA Jetson TX2 embedded hardware. Based on a Docker architecture, open development environments such as Python, C++, CUDA and ROS are supported. Up to six camera heads can be connected to the computing unit. Additional sensors, such as for distance detection, can be connected via a Gigabit Ethernet interface. All relevant “senses” that an AGV needs for safe autonomous navigation are thus available at a central point.

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