How to install
Radxa-Nio-12L uses EFI Boot via Grub with DeviceTree. To make use of it follow this Guide from Collabora to flash Uboot onto the UFS storage. Then you can flash one of the provided images onto a SD Card and power on the SBC which will automatically boot into Armbian. Keep in mind the Boot order has UFS at first place so you need to erase any OS you have on on UFS to boot from a SD Card.
Q&A for Genio-Family:
- Can I boot from UFS?
- Regarding Armbian this is currently not possible as we cannot utilize 4096 sector sizes for our partitions. Follow this issue to see what the current status is.
- Can I make use of UFS as a Data Partition inside of Linux?
- Yes.
- Which kernels are available?
- We’re making use of Collabora’s mediatek-next branch which is based on mainline Linux.
- There is also a highly experimental BSP branch from Canonical’s Ubuntu on Genio available. This one is lacking support for various important features like GPU acceleration on Desktop and therefore is meant for developers only.
- XYZ is not working.
- Check this support matrix to see if that feature has been implemented already.
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The SK-AM69 Starter Kit/Evaluation Module (EVM) is based on the AM69x AI vision processor which includes an image signal processor (ISP) supporting up to 1440MP/s, 32 tera-operations-per-second (TOPS) AI accelerator, eight 64-bit Arm®-Cortex® A72 microprocessor, and H.264/H.265 video encode/decode. The SK-AM69x is an ideal choice for machine vision, traffic monitoring, retail automation, and factory automation.
The starter kit also includes two RPI 22-Pin CSI connector and two MIPI CSI-2 40-Pin expansion connectors for up to 12 cameras, making it suitable for a variety of embedded vision and AI applications on the edge. Our ISP can handle different lighting conditions in video streams by using HDR encoding for camera support. The TI deep-learning accelerator enables classification and object detection at low latency and high frame rate.
Features
- Performance: AM69 processor enables 32 TOPS deep-learning performance and hardware-accelerated edge AI at low power
- Camera interfaces: three CSI-2 ports compatible with Raspberry Pi or a high-speed 40-pin Samtec camera connector allowing up to twelve cameras (requires multi camera hub)
- Connectivity: three SuperSpeed USB Type A ports, one SuperSpeed USB Type C port, one ethernet port, one M.2 key E connector and one M.2 key M connector, four CAN-FD interfaces, four UART terminals over one USB bridge
- Memoy: four DRAM, LPDDR4‐4266, 32 gigabytes total memory, support for inline ECC
- Display: DisplayPort with up to 4K resolution with MST support and 1080 HDMI
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Next-gen pocket-size single-board computer!
PocketBeagle 2 is an upgraded version of the popular PocketBeagle, designed as an ultra-compact, low-cost, and powerful single-board computer (SBC). Targeted at developers, students, and hobbyists, PocketBeagle 2 retains the simplicity and flexibility of its predecessor while delivering enhanced performance and expanded features to support modern development needs. PocketBeagle 2 is ideal for creating IoT devices, robotics projects, and educational applications. Its small form factor and low power consumption make it a versatile platform for embedded development, whether prototyping or deploying at scale.
PocketBeagle 2 is based on Texas Instruments AM6232 SoC. Its dual A53 cores can provide higher performance than classic PocketBeagle. The new design comes with pre-soldered headers, a 3-pin JST-SH 1.00mm UART debug port, a USB-C port, Texas Instruments MSPM0L1105 Cortex-M0+ MCU for ADC, 512MB RAM, and a LiPo Battery charger.
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BeaglePlay is Linux computing made simple and fun with 1,000s of available off-the-shelf sensors, actuators, indicators and connectivity options over mikroBUS, Grove, and QWIIC connections, a TI Sitara AM625 system-on-chip with 1.4GHz quad-core Arm Cortex-A53, PRU and M4 microcontrollers, Gigabit Ethernet, full-size HDMI, USB, 5GHz, 2.4GHz and sub-1GHz wireless, and single-pair Ethernet with power-over-data-line. Camera and touchscreen display ribbon-cable connectors also included.
No breadboarding expertise needed to expand this system, just connect, power, and leverage the massive ecosystem of Linux drivers. Want a remote sensor? Utilize BeagleConnect® technology over the sub-1GHz IEEE 802.15.4 wireless network to a BeagleConnect® Freedom up to 1km away.
