ARM Single Board Computer

RSC-IMX8M is a 3.5-inch single-board computer that supports NXP® i.MX8M Quad ARM Cortex A53 Quad Core Up to 1.5GHz; Cortex-M4 core processor, providing an ultra-low power consumption with the TDP is less than 3.5W. Supports 2GB Onboard LPDDR4 Memory (expandable up to 4GB Max) for industry application, and 1GB Onboard LPDDR4 Memory (expandable up to 4GB Max) for consumer application. RSC-IMX8M is equipped with a wide array of I/O interfaces, including OTG USB 3.0 Type C (Data only), USB 3.0 Type-A, USB 3.0 Pin Header, HDMI, LVDS, and MIPI DSI, giving it high expandability. RSC-IMX8M also supports M.2 Key E Socket (For WIFI/BT), M.2 Key B Socket + SIM Socket (For LTE), Dual GLAN for multi-connection for IoT and AIOT related applications. RSC-IMX8M is providing Board Support Package (BSP) for Android 10 and Yocto Linux v2.5 operating systems to help customers quickly build Android and Linux solutions.

Features

NXP® i.MX8M Quad ARM Cortex A53 Quad Core Up to 1.5GHz; Cortex-M4 core processor System Memory 2GB RAM Storage Storage eMMC 8GB I/O USB Port OTG USB 3.0 Type C (Data only) USB 3.0 Type A USB 3.0 Pin Header COM Port Extend Board-1 (4 x RS232/485) Extend Board-2 (2 x RS232/485 , 1 x CAN Bus , 1 x GPIO) External I/O Connector 1 x USB 3.0 Type A(Vertical type) 2x RJ45 connector with indicate LED Industry Version:2pcs(Default) , Consumer Version:1pcs 1 x HDMI connector (Vertical type) 1 x USB 3.0 Type C 1 x Micro SD socket 1 x Hand Phone 1 x Reset 1 x Power LED (Green) Internal I/O Connector 1 x Front Panel connector 2 x MIPI CSI connector 1 x DC connector with lock Header 1 x TAG connector 1 x MIPI DSI connector 1 x LVDS connector 1 x Back Light connector 1 x I2C connector 1 x USB connector 1 x 2230 M.2 for WiFi/BT (PCIe& USB Channel) 1 x 3042 M.2 for 3G/4G Module (USB Only) 1 x SIM Socket connector 1 x 2x20P Header connector 1 x 1x2P Header (R) connector 1 x 1x2P Header (L) connector 1 x Line-Out Header with 12V out 1 x Mic-In Header connector Display Multiple Display Display (HDMI / LVDS / MIPI DSI) Certifications Certification Information CE FCC Class B Ethernet LAN Chipset LAN 1: Intel I210 LAN 2: AR8033 Ethernet Interface 2 x RJ45 Connectors for Dual Gigabit LAN Industry Version:2pcs(Default) Consumer Version:1pcs Mechanical & Environmental Operating Temperature Industry Operating temperature:-40~85 Degree (Default) Consumer Operating temperature:0~85 Degree Storage Temperature -40°C ~ 85°C Operating Humidity 0% ~ 90% Relative Humidity, Non-condensing Weight 0.16kg Power Requirement DC 12 ~ 24V Power Input Power Mode Terminal Block 2P power input connector Dimension (L x W) (146.05mm x 101.6mm) Software Support OS Information Linux Yocto Version 3.0 Android Version 10

Overview coming soon - Call 01527 830800 for information

Digi ConnectCore 8M Nano SOM based on NXP i.MX 8M Nano

Embedded system-on-module based on the NXP i.MX 8M Nano processor; designed for longevity and scalability in industrial IoT applications Industrial i.MX 8M Nano quad/dual-core System-on-Module Digi SMTplus® form factor (40 mm x 45 mm) for ultimate reliability and design freedom Power management with both hardware and software support for low-power designs Multi-display and camera capabilities with hardware acceleration Pre-certified dual-band 802.11a/b/g/n/ac 1x1 and Bluetooth® 5 connectivity Seamless cellular modem and Digi XBee® integration Cloud and edge-compute services integration Built-in device security, identity and privacy with Digi TrustFence® Remote monitoring and management with Digi Remote Manager® Yocto Project Linux support

Features

The kit includes: Digi ConnectCore® 8M Nano development board Console port cable Dual-band antenna Power supply and accessories Reference designs for LVDS, HDMI and CAN-FD

Tinker Board - OS: Linux 4.4.0+ armv7l l Image Version: V20170113 l Memory Type: 2GB l CPU Type, Speed[GHz]: Cortex-A17 Quad-core 1.8GHz l GPU Type, Speed[MHz]: Mali™ T-764

-Arm® big.LITTLE™ A72+A53 Hexa-core SoC -Machine-Learning capability with Rockchip NPU -Multiple MIPI-CSI & DSI / HDMI / Type-C (DP) -40-pin GPIOs & mPCIe for multiple expansions -12V~19V DC-in offers stable power delivery -Linux & Android* supported

With its powerful and modern quad-core ARM-based processor — the Rockchip RK3288 — Tinker Board S offers significantly improved performance versus other popular SBC boards. Powered by an ARM-based Mali™-T764 GPU, Tinker Board S's GPU and fixed-function processors allow for a wide range of uses, including high-quality media playback, gaming, computer vision, gesture recognition, image stabilization and processing, as well as computational photography and more

Tinker Board S - OS: Linux 4.4.0+ armv7l l Image Version: V20170113 l Memory Type: 2GB l CPU Type, Speed[GHz]: Cortex-A17 Quad-core 1.8GHz l GPU Type, Speed[MHz]: Mali™ T-764

Outstanding performance for IoT devices: Powered by 6-core Rockchip RK3399 system on a chip (SoC) with the new 64-bit Armv8 architecture, plus multi-core Mali-T860. Easy setup tool: Intuitive software for performance tweaking, with simple three-step initial configuration. Pro-grade admin: ASUS IoT Cloud Console for data management and analysis, plus support for firmware over-the-air (FOTA) roll-out. Android 10 support: Benefit from better 3D computing performance, support for the Android Neural Networks API 1.2 and Adiantum encryption with 5X-better efficiency

Specifications

SoC Rockchip RK3399 CPU Dual-core Arm® Cortex®-A72 @ 2.0 GHz Quad-core Arm® Cortex®-A53 @ 1.5 GHz GPU Arm® Mali™-T860 MP4 GPU @ 800 MHz Display 1 x HDMI™ with CEC hardware ready 1 x USB Type-C® (DP Alt Mode) 1 x 22-pin MIPI DSI (4 lane) Memory Size Dual-CH LPDDR4 2GB / 4GB Storage 16GB eMMC Micro SD(TF) card slot (push/pull) Connectivity 1 x RTL8211F-CG GbE LAN 1 x M.2 - 802.11 a/b/g/n/ac wireless & BT 5.0 (2T2R) Audio 1 x HDMI™ audio output 1 x S/PDIF TX pin (from GPIO) 1 x PCM/I2S pins (from GPIO) USB 3 x USB 3.2 Gen1 Type-A ports 1 x USB 3.2 Gen1 Type-C® OTG port Camera Interface 1 x 15-pin MIPI CSI-2 (2 lane) Internal Headers 1 x 40-pin headers includes: - up to 28 x GPIO pins - up to 2 x SPI bus - up to 2 x I2C bus - up to 2 x UART - up to 3 x PWM - up to 1 x PCM/I2S - up to 1 x S/PDIF TX - 2 x 5V power pins - 2 x 3.3V power pins - 8 x ground pins 1 x 2-pin Recovery header 1 x 2-pin Power-on header 1 x 2-pin Reset header 1 x 2-pin Debug UART header 1 x 2-pin DC Fan header 1 x 2-pin RTC Battery header Power Connector (up to 45W) 1 x 12~19V DC Power Input Jack (5.5/2.5 mm) OS Support Debian 9 / Android 10 Dimension 3.37 inch x 2.125 inch (85 x 56 mm) Environment Operation temperature: 0? ~ 60? Non operation temperature: -40? ~ 85? Non operation humidity: 0% ~ 85% (Non condensing)

Outstanding performance for IoT devices: Powered by 6-core Rockchip RK3399 system on a chip (SoC) with the new 64-bit Armv8 architecture, plus multi-core Mali-T860. Easy setup tool: Intuitive software for performance tweaking, with simple three-step initial configuration. Pro-grade admin: ASUS IoT Cloud Console for data management and analysis, plus support for firmware over-the-air (FOTA) roll-out. Android 10 support: Benefit from better 3D computing performance, support for the Android Neural Networks API 1.2 and Adiantum encryption with 5X-better efficiency

Tinker Board S is equipped with an HD codec that supports up to 24-bit/192kHz audio. Its integrated audio jack supports audio output and a microphone in, without an extension module. The audio jack also offers hassle-free plug-in detection so it automatically switches the audio output to an audio jack when the speaker or headset is connected.

Tinker Board S is equipped with an HD codec that supports up to 24-bit/192kHz audio. Its integrated audio jack supports audio output and a microphone in, without an extension module.

With its powerful and modern quad-core ARM-based processor — the Rockchip RK3288 — Tinker Board S offers significantly improved performance versus other popular SBC boards. Powered by an ARM-based Mali™-T764 GPU, Tinker Board S's GPU and fixed-function processors allow for a wide range of uses, including high-quality media playback, gaming, computer vision, gesture recognition, image stabilization and processing, as well as computational photography and more