Quartet Carrier Board for TX2 enables easy integration of up to 4 x USB3 board-level cameras at full bandwidth. The Nvidia Jetson deep learning hardware accelerator allows for a complete decision making system on a single compact board. This custom carrier board provides a fully integrated SOM design which optimizes size and cost by eliminating the need for peripheral hardware and host systems.
Key Specs
- Input Output
- USB 3.0 x 4 (TF-38) / USB 2.0 type A x 1 / USB 3.0 type A x 1 / Power switch x 1 with LED / Micro SD slot x 1 / OTG x 1
TURNKEY Solution: Run up to 4 cameras simultaneously
With its 4x USB3 TF38 connectors, the NVIDIA Jetson TX2 module and pre-integrated Spinnaker SDK, the Quartet enables integration of up to four board-level cameras simultaneously running in a single system.
REDUCE SYSTEM FOOTPRINT
Fully integrated SOM design eliminating the need for peripheral hardware and host systems. It combines power and data transmission over a single cable for a remarkably compact footprint, allowing integrators to easily integrate a powerful single board computer (SBC) into space constrained vision systems.
POWERFUL AND FLEXIBLE HARDWARE
Three system options available depending on your needs. Two options with the module pre-installed with the FLIR Spinnaker SDK, enabling plug and play compatibility with FLIR Blackfly S USB3 board-level cameras. Or the option to buy only the carrier board and build your own system.
Specifications
Electrical
- Input Power
- 10~24Vdc with 2-pin terminal block
General
- Dimensions
- 138mm x 92mm x 18.2mm
Other
- Expansion
- SATA connector x1
Fan connector x1
Physical
- Mass
- 95g
- Operating Temperature
- -4°F ~ 140°F (-20°C ~ 60°C)* w/0.5 m/s air-flow
- Part Number
- ACC-01-6003
- Storage Humidity
- 5~ 95% @ 40°C, non-condensing
- Storage Temperature
- -40°F ~ 158°F (-40°C ~ 70°C)
Physical
- Input_Output
- USB 3.0 x 4 (TF-38)
USB 2.0 type A x 1
USB 3.0 type A x 1
Power switch x 1 with LED
Micro SD slot x 1
OTG x 1