DSBOX-NX2-XX-P Overview
Quality control stations and attended vision cells often need an operator to power the AI unit on and off at the line, while still running several camera streams through a deep learning model. Forecr covers that with the DSBOX-NX2-XX-P, a fanless embedded PC in the DSBOX-NX2 series that adds the power button option to the NVIDIA Jetson Xavier NX design.
The Jetson Xavier NX combines a six-core NVIDIA Carmel Arm v8.2 64-bit CPU with an NVIDIA Volta GPU with 48 Tensor Cores and 8 GB of 128-bit LPDDR4x memory. It delivers 21 TOPS for deep neural networks and processes up to 32 Full-HD video streams with the DeepStream SDK, while drawing under 18 W. The DSBOX-NX2-XX-P runs Ubuntu Linux 18.04.
Connectivity includes one Gigabit Ethernet port, two USB 3.1 Type-A ports, one CAN Bus port, a software-configurable RS-232/422/485 port, two digital inputs and three digital outputs, plus one HDMI 2.0 output at up to 3840 x 2160 for 4K display. Storage combines 16 GB of eMMC 5.1 flash, a MicroSD slot and an M.2 Key-M SSD socket, and M.2 Key-E and Key-B sockets take WiFi, Bluetooth, LTE or 5G modules, with a SIM slot for the cellular module on Key-B. Power arrives on a 9-28 VDC input.
Forecr rates the DSBOX-NX2-XX-P from -25°C to +65°C ambient, and its fanless 110 x 130 x 60 mm enclosure is designed for 24/7 operation in size and power constrained systems. As a fanless embedded PC for predictive maintenance, quality control and object recognition, it matches the DSBOX-NX2-AA in every respect except the power button, so attended and headless sites can share one software image.
DSBOX-NX2-XX-P Specifications
| Overview | |
|---|---|
| Brand & Model | Forecr DSBOX-NX2-XX-P |
| Features | Compact Embedded GPU Industrial |
| Performance | |
| AI Performance | 21 TOPS |
| System-on-Module | NVIDIA Jetson Xavier NX 16GB: 21 TOPS, 384-core Volta GPU with 48 Tensor Cores, 6-core NVIDIA Carmel Armv8.2 1.9GHz, 16GB 128-bit LPDDR4x, 16GB eMMC, 10-20W NVIDIA Jetson Xavier NX 8GB: 21 TOPS, 384-core Volta GPU with 48 Tensor Cores, 6-core NVIDIA Carmel Armv8.2 1.9GHz, 8GB 128-bit LPDDR4x, 16GB eMMC, 10-20W |
| Operating System | Linux |
| Jetpack Version | JetPack 4.6 |
| Graphics | |
| Display Outputs | 1x HDMI |
| I/O | |
| Ethernet | 1x Ethernet Ports |
| 1x GbE LAN [RJ45] | |
| USB | 2x USB Ports |
| 2x USB 3.1 Gen 1 [Type A] | |
| Serial | 1x Serial Ports |
| 1x RS232/422/485 [Terminal Block] | |
| CANbus | 1x CANbus Ports |
| 1x CANbus [Terminal Block] | |
| Digital I/O | DIO [2-in, 3-out] |
| Expansion | |
| M.2 | 3x M.2 Expansion Slots |
| 1x M.2 B-Key [PCIe x2/USB 3.0/SATA] [2280/3042/3052] 1x M.2 E-Key [PCIe x1/USB 2.0] [2230] 1x M.2 M-Key [PCIe x4/SATA] [2280] | |
| SIM Slots | 1x SIM Slots |
| Wireless Connectivity | Optional 4G Modem Optional 5G Modem Optional WiFi/Bluetooth |
| Storage | |
| Storage | 16GB eMMC 1x M.2 SSD 1x Micro SD |
| NVMe | NVMe SSD Support |
| Power | |
| Power Input | 9-28V DC [Terminal Block] |
| Environmental Conditions | |
| Thermal Dissipation | Fanless Passively Cooled Chassis |
| Operating Temperature | -25°C to 65°C [-13°F to 149°F] |
| Certification | CE FCC |
| Mechanical Properties | |
| Dimensions | 110mm x 130mm x 60mm (4.33" x 5.12" x 2.36") |
| Mounting Options | Desktop DIN Mount |
Official Forecr USA Distributor
Things Embedded is an official Forecr USA distributor, and the DSBOX-NX2-XX-P is the power button model in Forecr's compact Xavier NX range, built for attended vision and inspection installs. In the same enclosure size, the DSBOX-TX2NX offers Jetson TX2 NX for lighter workloads and the DSBOX-N2 a cost-effective Jetson Nano build for simpler analytics. The DSBOX-ORNX moves up to Jetson Orin NX and Orin Nano modules for current Orin-generation compute in a fanless industrial box with a similar I/O set.
Within our catalog, the DSBOX-NX2-XX-P belongs with our Jetson Xavier NX computers and our AI edge computers for on-device vision beside the line it inspects. With CAN Bus and serial on board alongside digital I/O, it is also listed among our CAN bus Jetson computers, which link AI directly to vehicle networks, drives and machine controllers without an extra interface module in the cabinet or on the bench, keeping wiring short.
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