reServer Industrial Fanless NVIDIA Jetson Orin Edge AI NVR with extensive I/Os
reServer Industrial Fanless NVIDIA Jetson Orin Edge AI NVR with extensive I/Os
Features
Fanless Compact Edge AI Server: Powered by NVIDIA Jetson Orin NX with 4 options:
1) Jetson Orin NX 16GB SoM with 100 TOPS AI performance.
2) Jetson Orin NX 8GB SoM with 70 TOPS AI performance.
3) Jetson Orin Nano 8GB SoM with 40 TOPS AI performance
4) Jetson Orin Nano 4GB SoM with 20 TOPS AI performance
Multi-Stream Processing: 5* GbE RJ45(4 for 802.3af PSE ), handles multiple streams with real-time processing.
Expandable Storage: 2 drive bays for 2.5" SATA HDD/SSD, plus an M.2 2280 socket for NVMe SSD.
Industrial Interfaces: Includes COM port, DI/DO ports, CAN port, USB 3.1, and optional TPM2.0 module.
Hybrid Connectivity: Supports 5G/4G/LTE/LoRaWAN® (module optional) with Nano SIM card slot.
Introducing reServer Industrial, a powerful edge Inference server for intelligent video analytics. Upgrade legacy cameras effortlessly with the reServer, which can also perform on-site video analytics tasks, reducing the need for constant human monitoring. Consolidate your analytics requirements and unlock AI capabilities for existing cameras and Video Management Systems (VMS).
Smart Storage Solutions
Store and upload only noteworthy recordings for further processing. With two 2.5-inch hard drive bays, the reServer Industrial provides ample storage capacity, ensuring you have the space needed for expanding data requirements.
Create custom analytics made it easy
Out-of-box tailor AI solution
CVEDIA-RT comes with various AI models for face detection, vehicle and people detection, crowd estimation, and more.
Build video analytics workflow in a no-code way.
Effortlessly create custom video analytics solutions using Lumeo's innovative drag and drop tools.
End to end Computer Vision Development
Seeed wiki helps you start with the computer vision software and development tools during each step of your application.
- obtain data for training
- label data for dataset preparation
- train AI models
- optimize models to run the best on the edge device
- deploy the model on the edge
- remote management
Comparison among reServer Industrial Boards
|
Product Name |
reServer Industrial J4012 |
reServer Industrial J4011 |
reServer Industrial J3011 |
reServer Industrial J3010 |
|
|
NVIDIA Jetson Module |
Orin NX 16GB |
Orin NX 8GB |
Orin Nano 8GB |
Orin Nano 4GB |
|
|
SKU |
114110247 |
114110248 |
114110249 |
114110250 |
|
|
Processor System |
AI Performance |
100 TOPS |
70 TOPS |
40 TOPS |
20 TOPS |
|
GPU |
1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores |
512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores |
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|
CPU |
8-core Arm® Cortex®-A78AE v8.2 64- bit CPU; 2MB L2 + 4MB L3 |
6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 |
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|
Memory |
16GB 128-bit LPDDR5 102.4GB/s |
8GB 128-bit LPDDR5 102.4GB/s |
8GB 128-bit LPDDR5 68 GB/s |
4GB 64-bit LPDDR5 34 GB/s |
|
|
Video Encode |
Standards supported: H.265 (HEVC), H.264, AV1 1*4K60 (H.265) | 3*4K30 (H.265) | 6*1080p60 (H.265) | 12*1080p30 (H.265) |
1080p30 supported by 1-2 CPU cores |
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|
Video Decode |
Standards supported: H.265 (HEVC), H.264, VP9, AV1 1*8K30 (H.265) | 2*4K60 (H.265) | 4*4K30 (H.265) | 9*1080p60 (H.265) | 18*1080p30 (H.265) |
Standards supported: H.265 (HEVC), H.264, VP9, AV1 1*4K60 (H.265) | 2*4K30 (H.265) | 5*1080p60 (H.265) | 11*1080p30 (H.265) |
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|
Storage |
eMMC |
- |
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|
Expansion |
M.2 Key M (2280) PCIe Gen4.0 SSD (M.2 NVMe SSD 128G included) |
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|
I/O |
Ethernet |
1* LAN0 RJ45 GbE (10/100/1000Mbps) |
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|
4* LAN RJ45 GbE PoE(PSE 802.3 af 15 W, 10/100/1000Mbps) |
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|
USB |
4* USB3.1, 1* USB2.0 Type C(Device mode), 1* USB2.0 Type C For Debug UART & RP2040 |
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|
DI/DO |
4*DI,4*DO,3*GND_DI,2*GND_DO,1*GND_ISO,1*CAN |
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|
COM |
1* DB9 (RS232/RS422/RS485) |
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Display |
1*HDMI 2.1 Type A 7680x4320 at 30 Hz |
1*HDMI 1.4 Type A 3840x2160 at 30 Hz |
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SATA |
2 Drive Bays to support 2.5" SATA HDD/SSD(SATA III 6.0Gbps) |
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|
SIM |
1* Nano SIM card slot |
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|
Button |
Reset Button, Recovery Button |
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|
Expansion |
Mini PCIe |
Mini PCIe for LoRaWAN®/4G/Series Wireless (Module optional) |
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|
M.2 Key B |
M.2 Key B (3042/3052) support 4G/5G (Module optional) |
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|
Fan |
Fanless, passive heatsink; 1*Fan connectors(5V PWM) |
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TPM |
1* TPM 2.0 connector (Module optional) |
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|
RTC |
1* RTC socket (CR1220 included),*RTC 2-pin |
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|
Power |
Power Supply |
DC 12V-36V Terminal block 2 pin |
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|
Power Adapter |
24V /5A Power Adapter(Without power cord) |
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|
Mechanical |
Dimensions (W x D x H) |
194.33mm*187mm*95.5mm |
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|
Weight |
2.8kg |
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Installation |
Desk, DIN rail, VESA |
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|
Operating Temperature |
-20 ~ 60°C with 0.7m/s |
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|
Operating Humidity |
95% @ 40 °C (Non-condensing) |
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|
Storage temperature |
-40 ~ 85°C |
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|
Storage humidity |
60°C@ 95% RH(Non-condensing) |
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|
Vibration |
3 Grms @ 5 ~ 500 Hz, random, 1 hr/axis |
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|
Shock |
50G peak acceleration (11 msec. duration,eMMC,microSD, or mSATA) |
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|
OS |
Pre-installed Jetpack 5.1.1 (above) (provide Linux OS with board support package) |
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|
Certification |
FCC, CE, RoHS, UKCA, KC |
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|
Warranty |
2 Years |
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Hardware Overview
Full System
Carrier Board
Part List
|
reServer Industrial |
x 1 |
|
DIN rail bracket |
x 1 |
|
Bracket screw |
x 10 |
|
16-Pin Terminal block for DIO |
x1 |
|
24V/5A Power adapter (without power cord) |
x 1 |
|
2-Pin Terminal block power connector |
x 1 |
Accessories Information
Please kindly know that the accessories below are not included in the package. We provide the information here to help you choose the appropriate accessories.
|
Type |
Product Name |
|
GPS |
EC25EUXGA-MINIPCIE |
|
4G |
EC25EUXGA-MINIPCIE; EC20CEHCLG-MINIPCIE |
|
5G |
SIM8202G-M2 |
|
LoRaWAN |
Wio-WM1302 LoRaWAN Gateway Module (SPI) - US915 - M |
|
TPM |
TPM2.0 module with Infineon SLB9670 |
FAQ
Q: Can I use Mini PCIe for 4G/LoRaWAN® and M.2 Key B for 4G/5G at the same time?
A: No, Only one of these can be used at a time.
Q： How long is the warranty period?
A: The warranty is two years, for extended warranty service, please contact us.
Q: How long is the product life cycle?
A: Please refer to the NVIDIA® Jetson™ module life cycle at https://developer.nvidia.com/embedded/lifecycle.
Q: How to flash the system?
A: Please refer to Wiki.
