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Rock 4 Model SE 4GB

SKU TPX00205 Barcode 6975225650054 Show more
Original price €0
Original price €77,94 - Original price €77,94
Original price
Current price €77,94
€77,94 - €77,94
Current price €77,94
VAT included

Bulk ROCK 4 Model SE 4GB Single Board Computer

Overview

ROCK 4 SE is a class-leading single-board computer developed by OKdo in collaboration with Radxa. It’s a reliable, robust, low-power and high-performing SBC based on the powerful Rockchip RK3399-T processor, big. LITTLE™ Arm® Dual Cortex-A72® CPU, Arm Mali™ - T860MP4 GPU and 4GB dual channel LPDDR4 RAM. The board benefits from an extensive list of high-quality features, such as an on-board antenna, RTC, Wi-Fi 802.11 b/g/n/ac, Bluetooth 5 and BLE modules, an audio jack with microphone in, a 4K HDMI port 60fps, user configurable USB HOST/OTG mode, M.2 memory expansion, eMMC robust memory slot and much more.


Tech specs

  • Processor: RK3399T, Arm® big.LITTLE™ technology (Dual Cortex®A72 frequency 1.5Ghz, quad CortexA53, frequency 1.0Ghz)
  • GPU: Arm Mali™ T860MP4 GPU, supporting OpenGL ES 1.1/2.0/3.0/3.1/3.2, Vulkan 1.0, Open CL 1.1 1.2, DX11
  • RAM: Dual channel 4GB 64bit LPDDR4
  • Dual display via HDMI and MIPI DSI supporting mirror or extend modes H.265/VP9 (HEVC) hardware decode (up to 4Kp60)
  • H.264 hardware decode (up to 1080p60)
  • WiFi 5/BT 5.0, BLE, Gigabit Ethernet
  • USB TypeC™ PD/QC power input
  • Micro SD, eMMC/M.2 (M key) connectors
  • Real-time clock (RTC)
  • Software: ARMv8 Instruction Set, Debian/Ubuntu Linux support, Android 7.1/Android 9.0/Android 10/Android 11 support, GPU-enabled AI stack such as Caffe, Hardware access /control library for Linux/Android
  • Operation Temperature: 0∼50 ℃/ Storage Temperature: -20∼80 ℃

Get Inspired

PROJECT HUB
MKR WAN 1310 IoT - operating at 0, 92mA
MKR WAN 1310 IoT - operating at 0, 92mA
Project Tutorial by andreas_waldherr

Reducing the current drain is a must especially for the LoRa Version of the MKR Series. But there are some pitfalls which must be avoided.

read more
BLOG
Let’s connect at The Things Conference 2023
Let’s connect at The Things Conference 2023
September 13, 2023

It’s time to catch up on all things LoRaWAN® and low-power IoT! Our team is looking forward to returning to The Things Conference this year, joining all LoRa® key players in Amsterdam on September 21st-22nd. Our experts will be showcasing new products and applications relevant to the technology that is putting the “smart” in smart cities, smart agriculture, smart logistics, and more. Indeed, with IoT’s huge growth potential in both B2B and B2C applications, LoRaWAN® is stepping up as one of the technologies of the future. Already established as the low-power connectivity choice, according to The Things Network it is reaping the benefits of innovations that increase efficiency even further – and is poised to support ESG (environmental, social and governance) goals with reduced energy consumption and secure data transmission. LoRaWAN® novice, or expert? We’ve got you covered Whether you are just realizing the potential of LoRaWAN® or have been a fan of it since day one (like us!), we’ll have something for you to discover at our booth at The Things Conference: Looking for an entry-level option? The Arduino MKR WAN 1310 offers you the renowned versatility of the practical and cost-effective MKR family and adds LoRa® connectivity to projects requiring low power.Ready to take it up a notch? The solution for advanced applications requiring sturdy computational power is to boost Arduino Pro’s Portenta H7 module (in any of its three variants) with the capability to run embedded computer vision applications, connect wirelessly via LoRa® to the Arduino Cloud (or third-party infrastructure), and activate systems upon the detection of sound events. How? With the Portenta Vision Shield LoRa®, of course!Feel the need for high performance? Pair the Portenta Max Carrier with a Portenta X8 module to add LoRa® connectivity to your project, transforming your robust SOM into a single-board computer or reference design enabling edge AI for

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