Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Embedded_Systems
|
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:has |
gptkb:Gigabit_Ethernet
HDMI output PCIe interface USB 3.0 ports Dual camera support Multiple GPIO pins 256 CUDA cores 1 NVIDIA Denver 2 core 32 GB e MMC storage 4 ARM Cortex-A57 cores Form factor of 87mm x 50mm Operating temperature range of -25 to 80 ° C Power consumption of 7.5 W Supports 1080p video input Supports 4 K video output Supports I2 C, SPI, and UART interfaces Supports multiple neural network frameworks Video decoding support for H.264 and H.265 Video encoding support for H.264 and H.265 Weight of 100 grams 8 GB LPDDR4 memory MIPI CSI camera interface |
| https://www.w3.org/2000/01/rdf-schema#label |
Jetson TX2
|
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:Jet_Pack_SDK gptkb:ROS_(Robot_Operating_System) gptkb:gymnasium gptkb:Py_Torch |
| gptkbp:is_part_of |
gptkb:NVIDIA_Jetson_family
|
| gptkbp:is_used_for |
AI applications
Real-time processing Edge computing Autonomous machines |
| gptkbp:is_used_in |
gptkb:Io_T_devices
gptkb:Agriculture gptkb:drones gptkb:robotics Industrial automation Education and research Smart cities Transportation systems Surveillance systems Healthcare applications Smart cameras Retail technology |
| gptkbp:operating_system |
gptkb:Linux
|
| gptkbp:released_in |
gptkb:2017
|
| gptkbp:supports |
gptkb:Computer_Vision
gptkb:Open_CV gptkb:Tensor_RT gptkb:Deep_Learning gptkb:CUDA |
| gptkbp:uses |
gptkb:NVIDIA_Pascal_architecture
|
| gptkbp:bfsParent |
gptkb:NVIDIA_Jetson
|
| gptkbp:bfsLayer |
5
|