AAEON ACP-1078 – A Rockchip RK3568-powered 7-inch touchscreen panel PC for manufacturing and logistics

AAEON ACP-1078 Rockchip RK3568 7-inch Panel PC

AAEON ACP-1078 is a 7-inch touchscreen panel PC powered by a Rockchip RK3568 quad-core Cortex-A55 AI SoC with 12V to 24V DC input, and an IP65-compliant aluminum front bezel suitable for manufacturing and logistics use cases. The fanless panel PC ships with up to 4GB RAM and 16GB eMMC flash and offers dual GbE networking, HDMI output, five USB ports, two COM ports, a microSD card slot, and a 3.5mm audio jack. AAEON ACP-1078 panel PC specifications: SoC – Rockchip RK3568 CPU – Quad-core Cortex A55 processor at up to 2.0 GHz GPU – Mali G52 GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1 VPU 4Kp60 H.264, H.265, VP9, 1080p60 MPEG-4/-2/-1, VP8, and VC1 video decoder 1080p60 H.264/H.265 video encoder AI accelerator – 0.8 TOPS NPU System Memory – 2GB or 4GB LPDDR4 Storage 16GB eMMC flash MicroSD card socket mSATA socket Display 7-inch WSVGA (1024 x […]

ASRock DSF-A6000 embedded box PC offers AMD Ryzen Embedded R2314, 2.5GbE, and quad 4K display support

ASRock DSF A6000 embedded box PC

ASRock DSF-A6000 embedded box PC is built around the AMD Ryzen Embedded R2314 processor with support for up to 64GB of dual-channel DDR4 memory, three RJ45 ports (two 1GbE LAN, and one 2.5GbE LAN with optional PoE+) for connectivity. For storage, it features an M.2 M-Key slot for NVMe SSD and I/O options include USB 3.2 Gen2 and RS232. In terms of display capabilities, this PC supports up to four 4K displays simultaneously via HDMI 2.0b. Additionally, it supports out-of-band management through an optional MPU-OOB card and features EDID emulation for seamless display setup across various technologies. Previously we have written about similar embedded box PCs like the Distec BoxPC Pro, the AAEON ARES-500AI embedded box PC, the BOXER-8256AI NVIDIA Jetson Xavier NX fanless embedded box PC, and many more feel free to check those out if you are interested in the topic. ASRock DSF-A6000 embedded box PC specifications: SoC […]

SagireEdge AI 600 SMARC SoM and devkit feature Qualcomm QCS6490 AIoT processor for Edge AI applications

Qualcomm QCS6490 SMARC SoM

Sagire AI’s SagireEdge AI 600 is a SMARC-compliant system-on-module (SoM) and a development kit based on Qualcomm QCS6490 octa-core Cortex-A78/A55 IoT processor and designed for Edge AI applications. The module comes with 8GB LPDDR5 and 128GB UFS storage, a WiFi 6E and Bluetooth 5.5 wireless module, a CAN Bus controller, and on-module camera and audio input connectors. Its MXM 3.0 edge connector exposes additional camera interfaces, a MIPI DSI display interface, PCIe Gen3 x2, gigabit Ethernet, a few USB interfaces, and a range of low-speed I/Os. SagireEdge AI 600 SoM specifications: SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – […]

ASRock IMB-A8000 industrial Ryzen Embedded 8000 mini-ITX motherboard takes up to 96GB DDR5 RAM

ASRockI MB A8000 Mini ITX Industrial Motherboard

ASRock Industrial recently launched the IMB-A8000, an industrial and embedded motherboard in a mini-ITX form factor. As an embedded motherboard, it is powered by AMD Ryzen Embedded 8000 series APU which features 8 cores and 16 threads, built with 4nm technology, and including a 16 TOPS AI accelerator. The motherboard supports up to 96GB of dual-channel DDR5-5600MHz memory and includes one 2.5GbE LAN port and one GbE LAN port. With a wide temperature range of -20ºC to 70ºC this motherboard can be used in applications like manufacturing, robotics, machine vision, and more. Previously we have seen SolidRun introduce the Bedrock R8000 industrial PC built around the Ryzen Embedded 8000 APU family. Other than that we have written about other Ryzen Embedded mini-ITX motherboards/SBCs such as the Flex Logic InferX Hawk combining an AMD Ryzen Embedded R2314 SoC with AI accelerators, the DFI RNO171 with Ryzen Embedded V2000 family, or more […]

RK3568-based MYC-LR3568 system-on-module comes with up to 8GB RAM, 32GB storage for cost-sensitive Edge AI applications

MYIR MYD-LR3568 development board

MYIR Tech has announced the release of the Rockchip RK3568-based MYC-LR3568 Edge AI system-on-module (SoM) offered in a compact 381-pin expansion LGA package design. It features up to 8GB LPDDR4 RAM, 32GB eMMC flash storage, a power management integrated circuit, and various connectivity options. The base configuration of the MYC-LR3568 system-on-module offers only 2GB RAM and 16GB storage but the module supports up to 8GB RAM and 32GB eMMC storage. It supports several video codecs, including 4K 60fps H.265/H.264/VP9 decoding and 1080P 60fps H.265/H.264 encoding, for high-quality video playback and recording. The MYC-LR3568 SoM works with Debian and Linux operating systems. It is designed for cost-sensitive industrial applications including but not limited to IoT gateways, NVR storage, industrial control, human-machine interface (HMI), cloud terminals, and facial recognition systems. MYIR Tech’s MYC-LR3568 specifications: SoC – Rockchip RK3568 (B2 or J variant) CPU RK3568B2 – Quad-core processor with four Cortex-A55 cores @ 2.0 […]

Rockchip RKLLM toolkit released for NPU-accelerated large language models on RK3588, RK3588S, RK3576 SoCs

Rockchip RK3588 RKLLM

Rockchip RKLLM toolkit (also known as rknn-llm) is a software stack used to deploy generative AI models to Rockchip RK3588, RK3588S, or RK3576 SoC using the built-in NPU with 6 TOPS of AI performance. We previously tested LLM’s on Rockchip RK3588 SBC using the Mali G610 GPU, and expected NPU support to come soon. A post on X by Orange Pi notified us that the RKLLM software stack had been released and worked on Orange Pi 5 family of single board computers and the Orange Pi CM5 system-on-module. The Orange Pi 5 Pro‘s user manual provides instructions on page 433 of the 616-page document, but Radxa has similar instructions on their wiki explaining how to use RKLLM and deploy LLM to Rockchip RK3588(S) boards. The stable version of the RKNN-LLM was released in May 2024 and currently supports the following models: TinyLLAMA 1.1B Qwen 1.8B Qwen2 0.5B Phi-2 2.7B Phi-3 […]

Khadas Mind Graphics NVIDIA RTX 4060 Ti GPU dock for the Mind mini PC is now available for $999

Khadas Mind Graphics Dock

The Khadas Mind Graphics is a dock for the Khadas Mind Raptor Lake mini PC that integrates an NVIDIA Geforce RTX 4060 Ti GPU and enables users to run high-end games, edit videos, design graphics, and experiment with AI while keeping the portability and small size of a mini PC. As we’ve seen in our reviews, mini PCs now match the performance of larger machines in almost all aspects with tools like PassMark Performance showing higher-end models’ CPU, memory bandwidth, and storage in the top 10% or 20% of systems. The exception is 3D graphics performance because integrated GPUs can’t match the performance of higher-end graphics cards. The Khadas Mind Graphics solves that by adding an NVIDIA Geforce RTX 40601 Ti GPU to the Khadas Mind mini PC through its Mind Link connector also bringing out other connectors such as 2.5GbE, USB, SD card, etc… Khadas Mind Graphics specifications: Graphics […]

Mixtile Edge AI boxes work with ONVIF cameras to deploy video analytics solutions (Sponsored)

Mixile Ege AI Box

Mixtile Edge AI solution supports ONVIF cameras and leverages object detection, object classification, real-time analysis, and intelligent monitoring to create IoT video analytics applications across the security, transportation, logistics, retail, industry, and agriculture sectors. The hardware is based on the time-tested Mixtile Edge 2 Kit IoT gateway powered by a Rockchip RK3568 SoC with a 1 TOPS NPU and 1080p60 VPU, or Mixtile Blade 3 SBC featuring the more powerful Rockchip RK3588 octa-core SoC with a 6 TOPS AI accelerator and an 8Kp60 VPU. The former can analyze up to 10 streams in real-time, and the latter up to a whopping 40 streams. So the novelty here is on the software side that has been developed by Mixtile and works the following way: The ONVIF cameras transmit video streams to a Mixtile Edge AI Box over the network. The Edge AI Box then runs pre-trained AI models to analyze the […]

EmbeddedTS embedded systems design