reComputer J1020 Edge AI Device with Jetson Nano module, Aluminium case, pre-installed JetPack System

SKU: 1252360
In Stock

27,999.00

  1.  quad-core ARM Cortex-A57 MPCore processor
  2. 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA cores delivers 5 TFLOPs (FP16)
  3. Support wide range of AI application fast building with our ecosystem partners
  4. Storage: 16 GB eMMC 5.1 Flash
  5. Camera: 12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
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Description

The Jetson Nano module is a small AI computer that has the performance and power efficiency needed to run modern AI workloads, multiple neural networks in parallel and process data from several high-resolution sensors simultaneously. This makes it the perfect entry-level option to add advanced AI to embedded products. While talking about Jetson Nano, Quad Core ARM Cortex-A57 which is 1.43 Ghz powerful 64 bit quad core processor Jetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a (1KU+) module. Get started fast with the comprehensive JetPack SDK with accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. NVIDIA® Jetson Nano™ Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.


Features:

  1. Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits in everywhere.
  2. Powered by the quad-core ARM® Cortex®-A57 MPCore processor.
  3. 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 5 TFLOPs (FP16).
  4. Rich peripherals including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI port and DP port.
  5. Pre-installed NVIDIA official JetPack software, ready for cloud native application .
  6. Able to mount on the wall with mounting holes on the back.
  7. Support wide range of AI application fast building with our ecosystem partners.
  8. Support Allxon to enable efficient remote hardware management services.

Specifications:

  1. Product: reComputer J1010
  2. Module: Nano (production version)
  3. AI Perf: 472 GFLOPS
  4. GPU: 128-core NVIDIA Maxwell
  5. CPU: Quad-core ARM A57  1.43 GHz
  6. Memory: 4GB 64-bit LPDDR4 25.6GB/s
  7. Storages: 16 GB eMMC
  8. Video encoder: 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 & H.264)
  9. Video Decoder: 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264)
  10. Gigabyte Ethernet: 1 x RJ45 Gigabit Ethernet Connector (10/100/1000)

Compression

Product reComputer J1010 reComputer J1020 NVIDIA Jetson

Nano Developer

Kit-B01

Module Nano (production version) Nano

(not production version)

AI Perf 472 GFLOPS
GPU 128-core NVIDIA Maxwell™
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4GB 64-bit LPDDR4 25.6GB/s
Storage 16 GB eMMC MicroSD

(Card not included)

Video Encoder 4K30 | 2x1080p60 | 4x1080p30

| 4x720p60 | 9x720p30
(H.265 & H.264)

4Kp30 | 4x 1080p30 |

9x 720p30

(H.264/H.265)

Video Decoder 4K60 | 2x 4K30 | 4x 1080p60

| 8x 1080p30 | 9x 720p60
(H.265 & H.264)

4Kp60 | 2x 4Kp30

| 8x 1080p30 |

18x 720p30

(H.264/H.265)

Gigabit Ethernet 1*RJ45 Gigabit Ethernet Connector (10/100/1000)
USB 1 * USB 3.0 Type A Connector;
2 * USB 2.0 Type A Connector;
1 * USB Type C for device mode;
1 * USB Type C for 5V power input
4 * USB 3.0 Type

A Connector


1 * Micro-USB port 

for device mode;

4 x USB 3.0 Type

A Connector;

1 x Micro-USB port for

5V power input

or for device mode

CSI Camera Connect 2xCSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Display 1xHDMI Type A 1*HDMI Type A;
1*DP
1*HDMI Type A;
1*DP
FAN 1* FAN (5V PWM)
M.2 KEY E 1*M.2 Key E 1*M.2 Key E (Disabled) 1*M.2 Key E
M.2 KEY M 1*M.2 Key M
RTC 1*RTC Socket
Multifunctional port 1* 40-Pin header
Power USB-Type C 5V3A DC Jack 12V/2A DC Jack 5V3A
Micro-USB 5V
2A
Mechanical 130 mm x 120 mm x 50 mm

(with case)

130mm x120mm x 50mm

(with case)

100 mm x 80 mm x 29 mm

Packages Includes: 

1 x Jetson Nano module
1 x Acrylic Cover
1 x Aluminum Frame
1 x Heatsink
1 x Carrier board
1 x 12V/2A  Power Adapter (with 5 interchangeable adapter plugs)

Quick Comparison

SettingsreComputer J1020 Edge AI Device with Jetson Nano module, Aluminium case, pre-installed JetPack System removeODROID-M1 with 4GByte RAM removereComputer J202 – Dev Kit carrier Board for Jetson Nano/Xavier removeLattePanda Delta 432(Win10 Pro Activated) – Windows / Linux Device 4GB/32GB removeLattePanda Alpha 864s (Win10 Pro activated) – Tiny Ultimate Windows / Linux Device removeLattePanda Delta 432 – Tiny Ultimate Windows / Linux Device 4GB/32GB remove
NamereComputer J1020 Edge AI Device with Jetson Nano module, Aluminium case, pre-installed JetPack System removeODROID-M1 with 4GByte RAM removereComputer J202 – Dev Kit carrier Board for Jetson Nano/Xavier removeLattePanda Delta 432(Win10 Pro Activated) – Windows / Linux Device 4GB/32GB removeLattePanda Alpha 864s (Win10 Pro activated) – Tiny Ultimate Windows / Linux Device removeLattePanda Delta 432 – Tiny Ultimate Windows / Linux Device 4GB/32GB remove
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Description
  1.  quad-core ARM Cortex-A57 MPCore processor
  2. 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA cores delivers 5 TFLOPs (FP16)
  3. Support wide range of AI application fast building with our ecosystem partners
  4. Storage: 16 GB eMMC 5.1 Flash
  5. Camera: 12 lanes (3×4 or 4×2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
  1. An ideal choice for industrial applications due to guaranteed 15-year availability of key component
  2. Wide range of connectivity options
  3. M.2 NVMe for SSDs and PCIe applications
  4. Dual display capability
  5. CSI camera support
  1. Model: reComputer J202
  2. Power supply: 3.3V
  3. PCB Size / Overall Size: 100mm x 80mm
  4. Display; 1 x  HDMI+1 x DP
  5. M.2 Key E: 1 x M.2 Key E
  6. M.2 Key M: 1 x M.2 Key M
  1. Intel Celeron N4100, Quad-Core 1.1-2.4GHz
  2. Intel UHD Graphics 600
  3. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 5.0
  4. USB3.0 x3,USB Type-C x1
  5. Gigabit Ethernet
  6. 2 x M.2 PCIe (Support B&M Key and A&E Key)
  7. Support Windows 10 & Linux OS
  8. Integrated Arduino Coprocessor ATMEL 32U4
  1. Intel Core M3-8100Y,  Dual-Core, 1.1-3.4GHz
  2. Intel UHD Graphics 615
  3. 8GB Memory
  4. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 4.2 & Gigabit Ethernet
  5. USB3.0 x3 USB Type-C x1
  6. 2 x M.2 PCIe (Support B&M Key and A&E Key)
  7. Support Windows 10 & & Linux OS
  8. Integrated Arduino Coprocessor ATMEL 32U4
  9. Powered by PD adapter / 12V DC / 7.4V battery
  1. Intel Celeron N4100, Quad-Core 1.1-2.4GHz
  2. Intel UHD Graphics 600
  3. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 5.0
  4. USB3.0 x3,USB Type-C x1
  5. Gigabit Ethernet
  6. 2 x M.2 PCIe (Support B&M Key and A&E Key)
  7. Support Windows 10 & Linux OS
  8. Integrated Arduino Coprocessor ATMEL 32U4
Content

The Jetson Nano module is a small AI computer that has the performance and power efficiency needed to run modern AI workloads, multiple neural networks in parallel and process data from several high-resolution sensors simultaneously. This makes it the perfect entry-level option to add advanced AI to embedded products. While talking about Jetson Nano, Quad Core ARM Cortex-A57 which is 1.43 Ghz powerful 64 bit quad core processor Jetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a (1KU+) module. Get started fast with the comprehensive JetPack SDK with accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. NVIDIA® Jetson Nano™ Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.


Features:

  1. Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits in everywhere.
  2. Powered by the quad-core ARM® Cortex®-A57 MPCore processor.
  3. 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 5 TFLOPs (FP16).
  4. Rich peripherals including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI port and DP port.
  5. Pre-installed NVIDIA official JetPack software, ready for cloud native application .
  6. Able to mount on the wall with mounting holes on the back.
  7. Support wide range of AI application fast building with our ecosystem partners.
  8. Support Allxon to enable efficient remote hardware management services.

Specifications:

  1. Product: reComputer J1010
  2. Module: Nano (production version)
  3. AI Perf: 472 GFLOPS
  4. GPU: 128-core NVIDIA Maxwell
  5. CPU: Quad-core ARM A57  1.43 GHz
  6. Memory: 4GB 64-bit LPDDR4 25.6GB/s
  7. Storages: 16 GB eMMC
  8. Video encoder: 4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 (H.265 & H.264)
  9. Video Decoder: 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264)
  10. Gigabyte Ethernet: 1 x RJ45 Gigabit Ethernet Connector (10/100/1000)

Compression

Product reComputer J1010 reComputer J1020 NVIDIA Jetson

Nano Developer

Kit-B01

Module Nano (production version) Nano

(not production version)

AI Perf 472 GFLOPS
GPU 128-core NVIDIA Maxwell™
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4GB 64-bit LPDDR4 25.6GB/s
Storage 16 GB eMMC MicroSD

(Card not included)

Video Encoder 4K30 | 2x1080p60 | 4x1080p30

| 4x720p60 | 9x720p30
(H.265 & H.264)

4Kp30 | 4x 1080p30 |

9x 720p30

(H.264/H.265)

Video Decoder 4K60 | 2x 4K30 | 4x 1080p60

| 8x 1080p30 | 9x 720p60
(H.265 & H.264)

4Kp60 | 2x 4Kp30

| 8x 1080p30 |

18x 720p30

(H.264/H.265)

Gigabit Ethernet 1*RJ45 Gigabit Ethernet Connector (10/100/1000)
USB 1 * USB 3.0 Type A Connector;
2 * USB 2.0 Type A Connector;
1 * USB Type C for device mode;
1 * USB Type C for 5V power input
4 * USB 3.0 Type

A Connector


1 * Micro-USB port 

for device mode;

4 x USB 3.0 Type

A Connector;

1 x Micro-USB port for

5V power input

or for device mode

CSI Camera Connect 2xCSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )
Display 1xHDMI Type A 1*HDMI Type A;
1*DP
1*HDMI Type A;
1*DP
FAN 1* FAN (5V PWM)
M.2 KEY E 1*M.2 Key E 1*M.2 Key E (Disabled) 1*M.2 Key E
M.2 KEY M 1*M.2 Key M
RTC 1*RTC Socket
Multifunctional port 1* 40-Pin header
Power USB-Type C 5V3A DC Jack 12V/2A DC Jack 5V3A
Micro-USB 5V
2A
Mechanical 130 mm x 120 mm x 50 mm

(with case)

130mm x120mm x 50mm

(with case)

100 mm x 80 mm x 29 mm

Packages Includes: 

1 x Jetson Nano module
1 x Acrylic Cover
1 x Aluminum Frame
1 x Heatsink
1 x Carrier board
1 x 12V/2A  Power Adapter (with 5 interchangeable adapter plugs)

The ODROID-M1 is a single-board computer with a wide range of useful peripherals developed for use in a variety of embedded system applications. To achieve this goal, we have developed various hardware accessories and device driver software over the past 10 months. In addition, RK3568B2, the core brain of ODROID-M1, is considered suitable for embedded application use as the SoC manufacturer (Rockchip) guarantees supply for the next 15 years. Therefore, we expect we can supply the ODROID-M1 boards to our important B2B customers until the year 2036 or beyond.

Note that RK3568B2 is a slightly modified version of the RK3568 to overcome the IC supply chain problem these days. The previous RK3568 metal-can type packaging lead time is much longer than the more common plastic package of the RK3568B2.

Let’s take a look at the main features and peripherals of ODROID-M1.

A Rockchip RK3568B2 CPU N 1 x Mono Speaker Output (1.3W at 8Ω load)
B LPDDR4 RAM O 1 x SPI recovery Switch
C 1 x Micro USB2.0 Device only P 1 x SPI Flash 16MiB
D 1 x RJ45 Ethernet Port (10/100/1000) Q 1 x eMMC Module Socket
E 1 x HDMI 2.0 R 1 x IR Receiver
F 2 x USB 2.0 S 1 x RTC Backup Battery Holder
G 2 x USB 3.0 T 1 x Reset jumper
1 x Power jumper
H 1 x DC Power Jack U 1 x Micro SD Slot
I 1 x M.2 NVMe M-Key PCIe3.0 2-Lane V 1 x SATA3
J 40 x GPIO Pins W 1 x SATA Power (5volt only)
K 1 x MIPI CSI 2Lane X 1 x UART for System Console
L 1 x MIPI DSI 4Lane Y 2 x System LED Indicators
M 1 x 3.5mm Headphone Jack Z 1 x M.2 LED Indicator

The CPU has four ARM Cortex-A55 processors with low power consumption and high-efficiency operation at 2 GHz. The CPU and GPU performance is quite similar to our ODROID-C4.

A larger 8GB of LPDDR4 DRAM Memory is available while there is also a 4GB model for a reduced cost.

Petitboot pre-installed into the onboard 16MiB of SPI-Flash Memory helps manage various OS and kernel versions easily and supports booting from microSD, eMMC, NVMe, SATA, and USB storage devices. In addition, since online OS installation using a network is possible, the cumbersome procedure of downloading and flashing an OS image is dramatically reduced.

A standard size 22mm x 80mm M.2 NVMe storage device can be directly installed on the ODROID-M1 board. The M.2 connector has a PCIe 3.0 2-lane configuration which can deliver a blazing fast 1600MB/sec of sequential access performance. Note that M.2 SATA storage devices can not be used. The M.2 slot supports only a PCIe interface (M-Key).


Features:

  1. An ideal choice for industrial applications due to the guaranteed 15-year availability of key component
  2. Wide range of connectivity options
  3. M.2 NVMe for SSDs and PCIe applications
  4. Dual display capability
  5. CSI camera support
  6. USB3 ports are on their own individual controllers (not shared)
  7. Built-in SATA support
  8. 3 different audio-out options for a variety of applications
  9. IR receiver for remote controller
  10. RTC and backup battery holder (to keep time and date for several months without main power input)
  11. System LED Indicators:
    – Red (POWER) – Solid light when DC power is connected
    – Blue (ALIVE) – Flashing “heartbeat” while Kernel is running. Solid On when in the u-boot stage.

Package Includes:

1 x ODROID-M1 with 4GByte RAM

reComputer J202 – Dev Kit carrier Board for Jetson Nano/Xavier NX/TX2 NX, with 4xUSB, M.2 Key M,E same size of NVIDIA Jetson Xavier NX carrier board

The reComputer J202 carrier board has nearly the same design and function as NVIDIA Jetson Xavier NX carrier board, perfectly works with Jetson Nano/Xavier NX/TX2 NX module, and consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.

The carrier board can work as NVIDIA Jetson Xavier NX Dev Kit carrier board alternative, accelerating your next AI application development and deployment.

reComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano / Xavier NX / TX2 NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi / BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of NVIDIA Jetson Xavier NX DEVELOPER KIT.

Applications:

  1. Pedestrian detection by Edge Impulse
  2. Hard hat detection and build custom PPE detection
  3. Pose Estimation with always AI
  4. Visual anomaly detection using NVIDIA Deep-stream IoT
  5. Retail store items detection
  6. Wildfire detection
  7. Animal detection

Note: For more info refer to Datasheet

 

Product Overview


Features:

  1. Perfectly suited: Design for Jetson Nano/Xavier NX/TX2 NX (260-pin SODIMM)
  2. Developer Kit carrier board alternative: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Jetson Xavier NX Developer Kit.
  3. Rich peripherals: Higher performance stability consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.
  4. High versatility: Suitable for complicated AI graphical applications.
  5. Comprehensive certificates: FCC, CE, RoHS(Certification received in early Sept)

Packages Includes:

1 x reComputer J202

1 x 12V/5A power adapter

LattePanda 2 Delta is a high-performance, pocket-sized SBC (single board computer) with low power consumption that runs full Windows 10 or Linux operation systems. It is widely used in edge computing, vending, advertising machine, industrial automation, etc. Whether you’re a DIY maker, IoT (Internet of Things) developer, system integrator, or solution provider, LattePanda is your powerful development board that can empower creation and accelerates your productivity.

The LattePanda 2 Delta, based on Intel Celeron N4100, is a Quad-Core 1.1GHz CPU that bursts up to 2.4GHz, Intel UHD Graphics 600 integrated into the processor delivers enhanced media conversion, fast frame rates, and 4K Ultra HD (UHD) video. All of this computing power dissipates only 6W power, which is the perfect choice in terms of features and price as the main robotics controller, interactive project core, IoT edge device, or AI brain.

The LattePanda is perfect for makers alike who need a small, portable, and light SBC for their ultimate project! DIY project running Windows or Linux, LattePanda SBC has been a popular hit and choice for many people who wish to enjoy playing all of their old and new favorites from one small, powerful system. Given its incredibly small size, it can be easily hidden, functioning as the secretly powerful brains behind your coolest project ever.


Features:

  1. Intel Celeron N4100, Quad-Core 1.1-2.4GHz
  2. Intel UHD Graphics 600
  3. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 5.0
  4. USB3.0 x3,USB Type-C x1
  5. Gigabit Ethernet
  6. 2 x M.2 PCIe (Support B&M Key and A&E Key)
  7. Support Windows 10 & Linux OS
  8. Integrated Arduino Coprocessor ATMEL 32U4

Specifications:

  1. CPU: Intel Celeron N4100
  2. Core: 1.1-2.4GHz Quad-Core, Four-Thread
  3. Graphics: Intel HD Graphics 600, 200-700MHz
  4. RAM: 4G LPDDR4 2400MHz
  5. External Memory:
    1. 1x M.2 M Key, PCIe 2x, Supports NVMe and PCIe SSD
    2. 1x M.2 E Key, PCIe 2x, Supports USB2.0, UART
  6. Connectivity:
    1. WIFI 802.11 AC, 2.4G & 5G
    2. Dual-Band Bluetooth 5.0
    3. Gigabit Ethernet
  7. USB Ports:
    1. 3x USB 3.0 Type A
    2. 1x USB Type C, supports PD, DP, USB 3.0
  8. Display:
    1. HDMI Output
    2. Type-C DP Support
    3. Extendable eDP touch displays
  9. Co-processor: Arduino Leonardo
  10. GPIO & Other Features: 2x 50p GPIOs including I2C, I2S, USB, TTL, UART, RTC, Power Management, Extendable power button, everything you need
  11. OS Support: Windows 10 Pro, Linux, Ubuntu
  12. Dimension: 115 x 78 x 14 mm

Useful Links:

  1. LattePanda official community
  2. LattePanda Documentation
  3. FCC/CE Certifications
  4. Tutorial: Install Linux
  5. Tutorial: Adjust Cooling Fan

Package Includes:

1 x LattePanda Delta 432 (Win10 Pro Activated)

1 x Active Cooling Fan (Assembled)

1 x 45w PD Power Adapter (with EU & US Standard Power Cord)

2 x Dual-band Antenna

1 x RTC Battery (Assembled)

1 x User Manual

The LattePanda 2 Alpha based on Intel Core m3-8100Y, is a Dual-Core 1.1GHz CPU that bursts up to 3.4GHz, Intel UHD Graphics 615 integrated into the processor delivers enhanced media conversion, fast frame rates, and 4K Ultra HD (UHD) video. All of this computing power dissipates only 8W power, which is the perfect choice in terms of features and price as the main robotics controller, interactive project core, IoT edge device, or AI brain.

The LattePanda 2 Alpha is perfect for makers alike who need a small, portable, and light SBC for their ultimate project! DIY project running Windows or Linux, LattePanda SBC has been a popular hit and choice for many people who wish to enjoy playing all of their old and new favorites from one small, powerful system. Given its incredibly small size, it can be easily hidden, functioning as the secretly powerful brains behind your coolest project ever.


Features:

  1. Intel Core M3-8100Y,  Dual-Core, 1.1-3.4GHz
  2. Intel UHD Graphics 615
  3. 8GB Memory
  4. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 4.2 & Gigabit Ethernet
  5. USB3.0 x3 USB Type-C x1
  6. 2 x M.2 PCIe (Support B&M Key and A&E Key)
  7. Support Windows 10 & & Linux OS
  8. Integrated Arduino Coprocessor ATMEL 32U4
  9. Powered by PD adapter / 12V DC / 7.4V battery

Specifications:

  1. CPU: Intel Core m3-8100y
  2. Core: 1.1-3.4GHz Dual-Core, Four-Thread
  3. Benchmark (PassMark): Up to 4128, double computing power compared with same price range products in the market
  4. Graphics: Intel HD Graphics 615, 300-900MHz
  5. RAM: 8GB LPDDR3
  6. External Memory:
  7. 1x M.2 M Key, PCIe 4x, Supports NVMe SSD and SATA SDD
  8. 1x M.2 E Key, PCIe 2x, Supports USB2.0, UART, PCM
  9. Connectivity:
    1. WIFI 802.11 AC, 2.4G & 5G
    2. Dual-Band Bluetooth 4.2
    3. Gigabit Ethernet
  10. USB Ports:
    1. 3x USB 3.0 Type A
    2. 1x USB Type C, supports PD, DP, USB 3.0
  11. Display:
    1. HDMI Output
    2. Type-C DP Support
    3. Extendable eDP touch display
  12. Co-processor: Arduino Leonardo
  13. GPIO & Other Features: 2x 50p GPIOs including I2C, I2S, USB, RS232, UART, RTC, Power Management, Extendable power button, everything you need
  14. OS Support: Windows 10 Pro, Linux Ubuntu
  15. Dimension: 115mm  x  78mm x 14 mm

Useful Links:


Package Includes:

1 x LattePanda Alpha 864s (Win10 Pro activated)

1 x Active cooling fan (Assembled)

1 x 45w PD Power adapter (with EU & US standard power cord)

1 x Dual-band antenna

1 x RTC Battery (Assembled)

1 x User Manual

LattePanda 2 Delta is a high-performance, pocket-sized SBC (single board computer) with low power consumption that runs full Windows 10 or Linux operation systems. It is widely used in edge computing, vending, advertising machine, industrial automation, etc. Whether you’re a DIY maker, IoT (Internet of Things) developer, system integrator, or solution provider, LattePanda is your powerful development board that can empower creation and accelerates your productivity.

The LattePanda 2 Delta, based on Intel Celeron N4100, is a Quad-Core 1.1GHz CPU that bursts up to 2.4GHz, Intel UHD Graphics 600 integrated into the processor delivers enhanced media conversion, fast frame rates, and 4K Ultra HD (UHD) video. All of this computing power dissipates only 6W power, which is the perfect choice in terms of features and price as the main robotics controller, interactive project core, IoT edge device, or AI brain.

The LattePanda is perfect for makers alike who need a small, portable, and light SBC for their ultimate project! DIY project running Windows or Linux, LattePanda SBC has been a popular hit and choice for many people who wish to enjoy playing all of their old and new favorites from one small, powerful system. Given its incredibly small size, it can be easily hidden, functioning as the secretly powerful brains behind your coolest project ever.


Features:

  1. Intel Celeron N4100, Quad-Core 1.1-2.4GHz
  2. Intel UHD Graphics 600
  3. Dual-Band 2.5GHz/5GHz Wi-Fi & Bluetooth 5.0
  4. USB3.0 x3,USB Type-C x1
  5. Gigabit Ethernet
  6. 2 x M.2 PCIe (Support B&M Key and A&E Key)
  7. Support Windows 10 & Linux OS
  8. Integrated Arduino Coprocessor ATMEL 32U4

Specifications:

  1. CPU: Intel Celeron N4100
  2. Core: 1.1-2.4GHz Quad-Core, Four-Thread
  3. Graphics: Intel HD Graphics 600, 200-700MHz
  4. RAM: 4G LPDDR4 2400MHz
  5. External Memory:
    1. 1x M.2 M Key, PCIe 2x, Supports NVMe and PCIe SSD
    2. 1x M.2 E Key, PCIe 2x, Supports USB2.0, UART
  6. Connectivity:
    1. WIFI 802.11 AC, 2.4G & 5G
    2. Dual-Band Bluetooth 5.0
    3. Gigabit Ethernet
  7. USB Ports:
    1. 3x USB 3.0 Type A
    2. 1x USB Type C, supports PD, DP, USB 3.0
  8. Display:
    1. HDMI Output
    2. Type-C DP Support
    3. Extendable eDP touch displays
  9. Co-processor: Arduino Leonardo
  10. GPIO & Other Features: 2x 50p GPIOs including I2C, I2S, USB, TTL, UART, RTC, Power Management, Extendable power button, everything you need
  11. OS Support: Windows 10 Pro, Linux, Ubuntu
  12. Dimension: 115 x 78 x 14 mm

Useful Links:

  1. LattePanda official community
  2. LattePanda Documentation
  3. FCC/CE Certifications
  4. Tutorial: Install Linux
  5. Tutorial: Adjust Cooling Fan

Package Includes:

1 x LattePanda Delta 432

1 x Active Cooling Fan (Assembled)

1 x 45w PD Power Adapter (with EU & US Standard Power Cord)

2 x Dual-band Antenna

1 x RTC Battery (Assembled)

1 x User Manual

Weight
DimensionsN/AN/AN/AN/AN/AN/A
Additional information
POWER

1 x DC jack : outer (negative) diameter 5.5mm, inner (positive) diameter 2.1mm DC input : 7.5V ~ 15.5V – DC 12V/2A power adapter is recommended – IDLE : ≃ 1.25W – CPU Stress : ≃ 4.44W (Performance governor) – Power Off : ≃ 0W

FORM FACTOR

Board Dimensions: 90mm x 122mm x 16mm Heatsink Dimensions: 100mm x 123mm x 19mm Weight: 253 g including heatsink

PROCESSOR

Rockchip RK3568 Processor L1 instruction cache: 32 KB, 4-way set associative (128 sets), 64 byte lines, shared by 1 processor L1 data cache: 32 KB, 4-way set associative (128 sets), 64 byte lines, shared by 1 processor L3 data cache: 512KB, 16-way set associative (512 sets), 64 byte lines, shared by 4 processorsQuad-Core Cortex-A55 (1.992GHz) ARMv8-A architecture with Neon and Crypto extensions Mali-G52 MP2 GPU with 4 x Execution Engines (650Mhz)

NPU

0.8Tops@INT8, integrated high-performance AI accelerator RKNN NPU Supports one-click switching of Caffe/TensorFlow/TFLite/ONNX/PyTorch/Keras/Darknet

MEMORY

4 or 8GiB LPDDR4 with 32-bit bus width Data rate: 3120 MT/s, up to 1, 560MHz

STORAGE

1 x eMMC slot 1 x Micro SD slot (DS/HS mode up to UHS-I SDR104) 1 x NVME M.2 SSD (PCIe 3.0 x 2) 1 x SATA3.0

NETWORKING

1 x GbE LAN ports (RJ45, supports 10/100/1000 Mbps) – Realtek RTL8211F (Ethernet transceiver) – LED indicators * Green LED: Flashing by data traffics at 100Mbps connection * Amber LED: Flashing by data traffics at 1000Mbps connection

VIDEO

1 x HDMI 2.0 (up to 4K@60Hz with HDR, EDID) 1 x MIPI-DSI (works with 800 x 1280 LCD)

AUDIO

1 x 3.5mm phone jack 1 x mono speaker output 1 x HDMI sound

EXTERNAL I/O

2 x USB 2.0 host port 2 x USB 3.0 host port (or 1 x USB 3.0 host + 1 x USB 2.0 OTG port) 1 x Debug serial console (UART, 1.5Mbps N81) 1 x SATA Connector 1 x MIPI-CSI Camera Interface (15 pin) 1 x MIPI-DSI LCD Interface (31 pin) 1 x 40pin GPIO header

Model

reComputer J202

Power supply

3.3V

PCB Size / Overall Size

100mm x 80mm

Display

1 x HDMI+1 x DP

M.2 Key E

1 x M.2 Key E

M.2 Key M

1 x M.2 Key M

Ethernet

1 x Gigabit Ethernet (10/100/1000M)

CSI Camera

2 x CSI

USB

4 x USB 3.1 Type-A  (10Gbps for NX, 5Gbps for Nano) 1 x USB Type-C (Device mode)