edge ai

Posted on by Debashis Das - No Comments on Vecow ECX-4000 – Intel Core Ultra 200S-powered fanless Edge AI embedded system features up to 9 Ethernet ports

Vecow ECX-4000 – Intel Core Ultra 200S-powered fanless Edge AI embedded system features up to 9 Ethernet ports

Vecow ECX 4000 Intel 200S powred fanless Edge AI system

Taiwan-based company Vecow has recently launched the ECX-4000 series, an Intel Core Ultra 200S-powered fanless Edge AI embedded system with up to nine Ethernet ports including two 10G SFP+ cages, five 2.5GbE ports (with 4 supporting PoE+), and a gigabit Ethernet jack, SUMIT (Stackable Unified Module Interconnect Technology) expansion, and a 9V to 50V DC redundant power input. The ECX-4000 supports the whole line of Intel Core Ultra 200S Series of Processors (Arrow Lake). It comes with W880 PCH which gives access to various I/O options including USB 3.2 Gen 2 ports, RS-232/422/485 serial ports, sixteen isolated digital I/O (8x input, 8x output, optional), DisplayPort, HDMI, and DVI-I video outputs. Additionally, it offers M.2 Key B and Key E sockets for wireless modules, and expansion options including multiple storage interfaces such as SATA III ports and an M.2 Key-M socket. The system also features a range of power and remote […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on M5Stack LLM630 Compute Kit features Axera AX630C Edge AI SoC for on-device LLM and computer vision processing

M5Stack LLM630 Compute Kit features Axera AX630C Edge AI SoC for on-device LLM and computer vision processing

M5Stack LLM630 Compute Kit

M5Stack LLM630 Compute Kit is an Edge AI development platform powered by Axera Tech AX630C AI SoC with a 3.2 TOPS NPU designed to run computer vision (CV) and large language model (LLM) tasks at the edge, in other words, on the device itself without access to the cloud. The LLM630 Compute Kit is also equipped with 4GB LPDDR4 and 32GB eMMC flash and supports both wired and wireless connectivity thanks to a JL2101-N040C Gigabit Ethernet chip and an ESP32-C6 module for 2.4GHz WiFi 6 connectivity. You can also connect a display and a camera through MIPI DSI and CSI connectors. M5Stack LLM630 Compute Kit specifications: SoC – Axera Tech (Aixin in China) AX630C CPU – Dual-core Arm Cortex-A53 @ 1.2 GHz; 32KB I-Cache, 32KB D-Cache, 256KB L2 Cache NPU – 12.8 TOPS @ INT4 (max), 3.2 TOPS @ INT8 ISP – 4K @ 30fps Video – Encoding: 4K; Decoding:1080p […]

Posted on by Debashis Das - No Comments on Intel Core Ultra 200S/200U/200H-powered COM-HPC Client modules support up to 192GB DDR5 memory, PCIe Gen5

Intel Core Ultra 200S/200U/200H-powered COM-HPC Client modules support up to 192GB DDR5 memory, PCIe Gen5

Portwell COM HPC client modules PCOM B887 and PCOM B886

Portwell PCOM-B887 and PCOM-B886 are two new COM-HPC client modules built around Intel Core Ultra 200S/200U/200H processors delivering high-performance computing and AI acceleration for industrial, edge, and AI-driven applications. The Portwell PCOM-B887 (Size C) module is built around the 200S Series, offers up to 36 TOPS, supports 192GB DDR5 memory, and features 42 PCIe lanes up to Gen5. The PCOM-B886 (Size B) module supports 200H/200U Series processors, which deliver up to 99 TOPS, support 96GB DDR5 memory, and include 24 PCIe lanes. Both modules feature various I/O options, including USB4, USB3.2 Gen2, and multiple display outputs. Portwell PCOM-B887 – COM-HPC Client Type Size C module The PCOM-B887 COM-HPC Client Type Size C module is powered by Intel Core Ultra 200S Series processors, which feature up to 36 TOPS of AI performance via an integrated neural processing unit (NPU). It supports up to 192GB of DDR5 memory at 4800MT/s with 42 […]

Posted on by Debashis Das - 1 Comment on Seeed Studio introduces ESP32-C3-based Modbus Vision RS485 and SenseCAP A1102 LoRaWAN outdoor Edge AI cameras

Seeed Studio introduces ESP32-C3-based Modbus Vision RS485 and SenseCAP A1102 LoRaWAN outdoor Edge AI cameras

Seeed Studio's Modbus Vision RS485 and SenseCAP A1102 outdoor Edge AI cameras

Seeed Studio has recently released the Modbus Vision RS485 and SenseCAP A1102 (LoRaWAN) outdoor Edge AI cameras based on ESP32-C3 SoC through the XIAO-ESP32C3 module for WiFi and the Himax WiseEye2 processor for vision AI. Both are IP66-rated AI vision cameras designed for home and industrial applications. The RS485 camera is designed for industrial systems and features a Modbus interface, making it suitable for factory automation and smart buildings. The SenseCAP A1102 uses LoRaWAN for long-range, low-power monitoring in remote locations. Both offer advanced AI for tasks like object detection and facial recognition. Besides its built-in RS485 interface, the Modbus Vision RS485 also supports LoRaWAN and 4G LTE connectivity via external Data Transfer Units (DTUs). With over 300 pre-trained AI models, the camera can do object detection and classification tasks making it suitable for industrial automation, smart agriculture, environmental monitoring, and other AI-driven applications requiring high performance. The SenseCAP A1102 […]

Posted on by Debashis Das - 5 Comments on ESP32-AIVoice-Z01 is an ESP32-S3 AI voice kit with dual microphones, wake word detection, noise reduction and echo cancellation

ESP32-AIVoice-Z01 is an ESP32-S3 AI voice kit with dual microphones, wake word detection, noise reduction and echo cancellation

ESP32 AIVoice Z01 Development Kit

The ESP32-AIVoice-Z01 is an affordable ESP32-S3-powered AI voice kit designed for creating voice-controlled AI applications. It features Wi-Fi and Bluetooth connectivity through the ESP32-S3 SoC, a dual digital microphone array for accurate voice recognition, and an onboard amplifier. The system also implements audio algorithms for noise reduction and echo cancellation. The ESP32-AIVoice-Z01 board supports Espressif’s WakeNet voice wake-up framework and integrates with the AiLinker open-source backend service framework to enable the connection to various large AI model services like OpenAI, ZhiPu QingYan, TongYi QianWen, and DouBao. These features make this device suitable for developing AI-powered toys, IoT devices, mobile devices, and smart home applications. ESP32-AIVoice-Z01 ESP32 AI voice kit specifications Wireless module – ESP32-S3-WROOM-1U SoC – Espressif Systems ESP32-S3 dual-core Xtensa LX7 processor Memory – 8MB PSRAM Storage – 16MB flash Wireless – WiFi 4 and Bluetooth 5.0 connectivity with external antenna Storage – MicroSD card slot Audio Dual digital microphone array […]

Posted on by Debashis Das - No Comments on SO-ARM100 is an open-source AI robotic arm kit with LeRobot integration and NVIDIA Jetson support

SO-ARM100 is an open-source AI robotic arm kit with LeRobot integration and NVIDIA Jetson support

SO ARM100 AI Arm Kit

Seeed Studio has recently started selling the SO-ARM100 AI Robotic Arm kit, a low-cost AI arm designed for real-world robotics applications. This open-source hardware device features a 6-degree-of-freedom design with high-torque STS3215 bus servos, a 12-bit magnetic encoder for precise angle sensing, and UART for communication. The arm comes with motors, driver boards, power adapters, and other 3D-printed parts like arm segments, base, grippers, and motor mounts. Designed to work with the NVIDIA Jetson edge platform, it is ideal for grasping and placing. All these features make this device suitable for education, research, and AI-driven robotics projects. SO-ARM100 AI robotic arm kit specifications Degrees of Freedom (DOF) – 6 Motor control Total servo – 12x STS3215 bus servos Servo torque Arm kit Standard – 19.5 kg.cm @ 7.4V Arm kit pro – 30 kg.cm @ 12V (Pro) Angle Sensor – 12-bit magnetic encoder USB – USB-C for programming and testing […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 8 Comments on $249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge

$249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge

NVIDIA Jetson Orin Nano Super Development Kit

NVIDIA Jetson Orin Nano Super Developer Kit is an upgrade to the Jetson Orin Nano Developer Kit with 1.7 times more generative AI performance, a 70% increase in performance to 67 INT8 TOPS, and about half the price, making it a great development platform for generative AI at the edge, mostly robotics. We’ve seen several AI boxes and boards in the last year capable of offline generative AI applications like the Firefly AIO-1684XQ motherboard or Radxa Fogwise Airbox which I reviewed with Llama3, Stable diffusion, Imgsearch, etc… A product like the Fogwise Airbox delivers up to 32 TOPS (INT8) and sells for around $330 which was very competitive then (June 2024). However, the Jetson Orin Nano Super Developer Kit will certainly disrupt the market with over twice the performance, a lower price, and a larger developer community. NVIDIA Jetson Orin Nano Super specifications: NVIDIA Jetson Orin Nano 8GB Module CPU […]

Posted on by Tomisin Olujinmi - No Comments on STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STM32N6 AI Demo

STMicro has announced the availability of the STM32N6 microcontroller series based on the 800MHz ARM Cortex-M55 and the 600 GOPS-capable Neural-ART Accelerator. The STM32N6 is the company’s “newest and most powerful STM32 series,” bringing MPU-level performance to MCUs. It is the first STM32 to feature the Arm Cortex-M55 and offer up to 4.2MB of embedded RAM. Additionally, the chip includes ST’s NeoChrom GPU and an H.264 hardware encoder. According to Remi El-Quazzane, MDRF (Microcontrollers, Digital ICs, and RF Products) President at STMicro, the STM32N6 “marks the beginning of a long journey of AI hardware-accelerated STM32, which will enable innovations in applications and products in ways not possible with any other embedded processing solution.” STMicro offers two versions of the STM32N6 MCU: the STM32N6x7 AI line featuring the Neural-ART accelerator and the STM32N6x5 GP (general-purpose) product line without an NPU. The microcontroller series is primarily targeted at computer vision and audio […]

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