reComputer J101 Carrier Board

Name: reComputer J101 Carrier Board
Brand: Seeed Studio
SKU: SEEED-102991694
Price: 94.77 EUR
Availability: InStock

In stock under 5 pcs

SKU#: SEEED-102991694

reComputer J101 Carrier Board

In stock under 5 pcs

SKU#: SEEED-102991694

Seeed Studio 102991694 - reComputer J101 - Carrier Board for Jetson Nano, same size of NVIDIA® Jetson Nano™ Dev Kit carrier board, micro SD card slot, HDMI2.0, USB, CSI, M.2 key E, GPIO

94,77 €

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Product Description

PRODUCT DETAILS

Features

Perfectly suited: Design for Jetson Nano Module (260-pin SODIMM).
Dev Kit carrier board alternative: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Nano Developer kit.
Expandable storage: SD card slot for storage expansion of Nano module (16GB eMMC).
Rich peripherals: Higher performance stability consists of USB 3.0, USB 2.0 ports, M.2 key E for WIFI, RTC, Raspberry Pi GPIO 40-pin, and so on.
Super cost-effective: Suitable for the good start and quick evaluation of AI applications.
Comprehensive certificates: FCC, CE, RoHS(Certification received in early Sept)

Note:

Seeed Studio provide SD card function on reComputer J101 carrier board, which supports CLK Frequency 48MHz. The CLK here is designed to achieve certificates (such as CE/FCC). If you want to increase CLK by yourself, you can use the instructions here.
The later reComputer J1010 carrier board version are all supported SD card function.

Functionality

Working with NVIDIA Jetson Nano module, powered by NVIDIA Maxwell with 128 NVIDIA CUDA® cores, it's ready to bring the power of modern AI to everyone: makers, learners, and embedded developers.

With the NVIDIA Jetson Nano module assembled, it could support NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. With its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing.

Edge AI Applications

Working with Jetson Nano module, reComputer J101 is ready to bring modern AI power to real-world applications such as image recognition, object detection, pose estimation, video processing, and many more. Check out the following application example with tutorials!

Pedestrian detection by Edge Impulse
Hard hat detection and build custom PPE detection
Pose Estimation with alwaysAI
Visual anomaly detection using NVIDIA Deepstream IoT
Retail store items detection
Wildfire detection
Animal detection

Specifications

Feature	reComputer J101
Module Compatibility	Jetson Nano series
PCB Size / Overall Size	100mm*80mm
Display	1* HDMI
CSI Camera	2* CSI
Ethernet	1* Gigabit Ethernet (10/100/1000M)
USB	1* USB Type-C (Power In);
USB	1* USB 3.0 Type-A (5 Gbps);
USB	2* USB 2.0 Type-A;
USB	1* USB Type-C (Device mode)
M.2 Key M	-
Micro SD card	1* Micro SD card slot (48MHz CLK Frequency)
M.2 Key E	1*M.2 Key E
FAN	1* Fan Connector
CAN	-
Multifunctional port	1* 40-Pin
Multifunctional port	1* 12-PIn
RTC	RTC 2-pin
RTC	RTC socket (reserved)
Power supply	5V/3A (USB Type C)
Power supply	Not included

Note:

If you want to use SSDs with reComputer Jetson, we only recommend you choose 128GB, 256GB, and 512GB versions from Seeed, because some of the SSDs in the market will not work with this product.

Part List

1 x reComputer J101 Carrier Board

Product Information

Availability In stock
Manufacturer Seeed Studio
Product path Home Development Cards Miscellaneous Development Cards reComputer J101 Carrier Board
SKU SEEED-102991694
Attributes
- Manufacturer's model 102991694
- Click for more details https://www.seeedstudio.com/reComputer-J101-v2-Carrier-Board-for-Jetson-Nano-p-5396.html
- Dimensions 100 x 80 x 29mm

reComputer J101 Carrier Board

reComputer J101 Carrier Board

Product Description

PRODUCT DETAILS

Features

Functionality

Edge AI Applications

Specifications

Part List

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Product Information

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