computer vision

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Gemma Translator multilingual interpreter runs locally on Raspberry Pi 5 with the LiteRT runtime

Gemma Translator multilingual interpreter runs locally on Raspberry Pi 5 with the LiteRT runtime

Gemma Translator

Gemma Translator is an open-source project for the Raspberry Pi 5 that acts as a multilingual interpreter running locally without access to the cloud using Google Gemma 4 and LiteRT runtime. It’s a project built by three Google engineers with the help of Google Antigravity. It includes code to run an on-device, fully offline voice translator/interpreter using Gemma 4 E2B (2.3B effective / ~5.1B total parameters with per-layer embeddings) and the LiteRT runtime. The hardware is comprised of a few components: A Raspberry Pi 5 with 8GB of RAM Display – HDMI monitor or touchscreen display such as a 480×320 kiosk display Audio Microphone or USB audio capture interface Speaker or headphone output device Keyboard  – The project demonstrated below appears to use a custom PCB (AX-4LABS-NEW) with a rotary encoder and four mechanical keys (of which only two are used) Optional 3D printed parts for the enclosure Software highlights: […]

Posted on by Debashis Das - No Comments on NXP FRDM-IMX95-PRO i.MX 95 board features 10GbE, faster 6400 MT/s LPDDR5 memory, dual M.2 expansion

NXP FRDM-IMX95-PRO i.MX 95 board features 10GbE, faster 6400 MT/s LPDDR5 memory, dual M.2 expansion

NXP FRDM IMX95 PRO i.MX 95 dev board with larger 19×19 mm package, 10GbE, Wi Fi 6 Tri Radio, and dual M.2 expansion

NXP has introduced the FRDM-IMX95-PRO, a compact development board based on the i.MX 95 application processor in the larger 19×19 mm package. It features a 10GbE interface, Wi-Fi 6, Bluetooth 5.4, and 802.15.4 tri-radio connectivity, and two M.2 Key-M slots for AI accelerator cards or SSDs. The board also comes with 16 GB LPDDR5-6400 memory, a 32 GB eMMC flash, and NXP’s GoPoint demo interface for robotics, industrial networking, and vision processing applications. FRDM-IMX95-PRO board specifications: SoC – NXP i.MX 95 CPU Up to 6x Arm Cortex-A55 application cores clocked at 1.8/2.0 GHz with 32KB I-cache and D-cache, 64KB L2 cache, and 512KB L3 cache 1x Arm Cortex-M7 real-time core clocked at 800 MHz 1x Arm Cortex-M33 safety core clocked at 333 MHz GPU – Arm Mali-G310 V2 GPU for 2D/3D acceleration with support for OpenGL ES 3.2, OpenCL 3.0 VPU 1080p60/4Kp30 H.265 and H.264 encode and decode JPEG Encoder, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on reComputer Mini J501 Edge AI computer features NVIDIA Jetson AGX Orin 64GB/32GB module, two FAKRA camera connectors

reComputer Mini J501 Edge AI computer features NVIDIA Jetson AGX Orin 64GB/32GB module, two FAKRA camera connectors

reComputer Mini J501

Designed for robotics applications, the reComputer Mini J501 is an Edge AI computer powered by an NVIDIA Jetson AGX Orin 64GB or 32GB module, delivering up ot 275 TOPS of AI performance. The computer features 10GbE and GbE RJ45 ports, HDMI 2.1 video output, two USB 3.2 ports, two USB 2.0 Type-C Debug/Recovery ports, a 128 M.2 NVMe SSD, two FAKRA connectors for up to eight GMSL2 cameras, and a range of other I/O connectors. reComputer Mini J501 specifications: System-on-module (one or the other) NVIDIA Jetson AGX Orin 32GB  (reComputer Mini J5011 model) CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache GPU and AI NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 930 MHz DL Accelerator – 2x NVDLA Engines @ up to 1.4 GHz Up to 200 TOPS Video Encode – 1x 4K60 | 3x 4K30 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on $299.99 ASUS UGen300 USB AI accelerator combines 40 TOPS Hailo-10H chip with 8GB LPDDR4

$299.99 ASUS UGen300 USB AI accelerator combines 40 TOPS Hailo-10H chip with 8GB LPDDR4

ASUS UGen300 USB AI Accelerator

ASUS UGen300 USB AI accelerator features a 40 TOPS Hailo-10H AI processor and 8GB of LPDDR4 memory to support large language models (LLMs), vision language models (VLMs), and AI vision workloads while consuming less than 2.5 Watts. In some ways, the hardware is similar to the Raspberry Pi AI HAT+ 2, but in a slim dongle form factor (105 x 50 x 18mm) and a 10 Gbps USB 3.2 Gen1 USB-C Type-C port instead of a 5 or 8 GT/s PCIe interface. ASUS UGen300 USB AI accelerator (UGen300-USB-8G) specifications: AI accelerator – Hailo Hailo-10H delivering up to 40 TOPS (INT4) or 20 TOPS (INT8) inferencing performance Memory – 8GB LPDDR4 @ 4266 MT/s Host interface – USB 3.1 Gen2 (10 Gbps) Type-C port Power Supply – 5V via USB-C port Power Consumption – 2.5 Watts (typical) Dimensions – 105 x 50 x 18 mm Weight – 145 grams ASUS says the […]

Posted on by Debashis Das - No Comments on Luxonis M8 Controller Box adds industrial I/Os, CAN Bus, and relay control to OAK4 AI vision cameras

Luxonis M8 Controller Box adds industrial I/Os, CAN Bus, and relay control to OAK4 AI vision cameras

OAK4 AI camera M8 Controller Box

Luxonis has introduced a prototype of the M8 Controller Box, an industrial I/O expansion module for OAK4 AI vision edge AI cameras powered by a Qualcomm DragonWing QCS8550. Connected through the camera’s M8 interface, it adds GPIO, relay, CAN, serial, and USB connectivity, allowing OAK4-based systems to interface directly with sensors, actuators, PLCs, motors, and other industrial equipment for machine vision and automation applications. The prototype module features 16 GPIOs, four 16A relays, CAN 2.0, RS232, two USB 2.0 Type-A ports, an isolated strobe output, onboard audio, three buttons, and three status LEDs. It is powered directly from the OAK4 M8 connector, and supports DIN rail and VESA mounting. Luxonis M8 Controller Box specifications: MCU – Raspberry Pi RP2040 dual-core Arm Cortex M0+ @ 133 MHz with 264KB SRAM Host interface M8 connector for connecting Luxonis OAK4 cameras (standalone mode only) M8 passthrough port Audio 3.5mm headphone/AUX jack with mic input Onboard […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Credit card-sized Edge AI single board computers are powered by TI AM62A (2 TOPS) or AM68A (8 TOPS) SoC

Credit card-sized Edge AI single board computers are powered by TI AM62A (2 TOPS) or AM68A (8 TOPS) SoC

InHand Mo 62A SBC

InHand Mo 62A and Mo 68A are two credit card-sized Edge AI single board computers (SBCs) powered by Texas Instruments AM62A and AM68A processors, delivering respectively 2 TOPS and 8 TOPS of AI performance. Designed for AI Vision applications, the Mo 62A and Mo 68A SBCs support MIPI CSI camera input, Raspberry Pi HAT expansion boards, integrate 7th-generation ISP image processing capabilities, and handle H.264 / H.265 video encoding and decoding. However, they offer a different range of ports, as you’ll see in the specifications below. Target applications include industrial equipment, access control systems, robots, smart cameras, and visual inspection terminals. InHand Mo 62A Mo 62A specifications: SoC – Texas Instruments AM62A74 SoC Application processor – Up to four Arm Cortex- A53 cores @ 1.4GHz Real-time cores 1x Cortex-R5F @ 800MHz (MPU Channel with FFI) 1x Cortex-R5F @ 800MHz to support Device Management 3D GPU – None VPU – 4Kp30 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 9 Comments on AMD launches Ryzen AI Embedded X100 processors, Kria AI SoM, and physical AI/robotics developer platform

AMD launches Ryzen AI Embedded X100 processors, Kria AI SoM, and physical AI/robotics developer platform

AMD Ryzen AI Embedded X100

AMD has announced a range of new AI solutions at Advanced AI 2026, including 6th Gen AMD EPYC CPUs, AMD Instinct MI400 Series GPUs, and AMD Helios AI rackscale solutions designed for data centers. In this article, we’ll focus instead on embedded and physical AI solutions like the new Ryzen AI Embedded X100 processor family and a new Kria AI SoM integrated into the Kria AI Robotics Developer Platform pairing an X100 embedded CPU with a Kria FPGA. AMD Ryzen AI Embedded X100 AMD first introduced the Ryzen AI Embedded X100 family when it launched the Ryzen AI Embedded P100 family in January 2026, delivering up to 50 TOPS of AI performance. However, at the time there were very few details about the X100 family, just that it would offer higher CPU core counts and AI TOPS performance, and this latest announcement fixes that. AMD claims the new X100 series […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on AIS-1000 AI Surveillance Station – A $3,640 NDAA and TAA-compliant AI box based on Raspberry Pi 5 and Hailo-8L

AIS-1000 AI Surveillance Station – A $3,640 NDAA and TAA-compliant AI box based on Raspberry Pi 5 and Hailo-8L

AIS-1000 AI Surveillance Station

If you feel like a cheapskate when purchasing a Raspberry Pi 5 16GB for only $305, there’s now a solution to avoid embarrassment. Meet the $3,640 AIS-1000 AI Surveillance Station, pairing a Raspberry Pi 5 with a Hailo-8L AI accelerator and a 1TB NVMe SSD, all housed in a metal enclosure. Jokes aside, the device from Planet Technology is real, and users mostly pay for NDAA (National Defense Authorization Act) and TAA (Trade Agreements Act) compliance for use in AI-enhanced surveillance applications for government, critical infrastructure, or other high-security applications. Planet AIS-1000 hardware specifications: SBC – Raspberry Pi 5 (only advertised features listed) SoC – Broadcom BCM2712 CPU – Quad-core Arm Cortex-A76 processor @ 2.4 GHz GPU – VideoCore VII GPU @ 800 MHz with support for OpenGL ES 3.1, Vulkan 1.2, 4Kp60 HEVC decoder System Memory – 8GB LPDDR4X-4267 SDRAM Networking – Gigabit Ethernet RJ45 port via Broadcom BCM54213PE transceiver […]

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