computer vision

Posted on by Tomisin Olujinmi - No Comments on M5Stack releases AX630C-powered offline “Module LLM” for local smart home and AI applications

M5Stack releases AX630C-powered offline “Module LLM” for local smart home and AI applications

M5Stack Module LLM

The M5Stack Module LLM is yet another box-shaped device from the company that provides artificially intelligent control without internet access. It is described as an “integrated offline Large Language Model (LLM) inference module” which can be used to implement local LLM-based solutions in smart homes, voice assistants, and industrial control. Module LLM is powered by the AX630C SoC, equipped with 4GB LPDDR4 memory, 32GB storage, and a 3.2 TOPS (INT8) or 12.8 TOPS (INT4) NPU. M5Stack says the main chip has an average runtime power consumption of 1.5W, making it suitable for long-term operation. It has a built-in microphone, speaker, microSD card slot, and USB OTG. The USB port can connect peripherals such as cameras and debuggers, and the microSD card slot supports cold and hot firmware updates. The M5Stack Module LLM joins the list of other offline, on-device LLM-based solutions, such as the SenseCAP Watcher, Useful Sensors’ AI in […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on UP Squared Pro 710H SBC combines Alder Lake-N CPU with Hailo-8 AI accelerator for the machine vision market

UP Squared Pro 710H SBC combines Alder Lake-N CPU with Hailo-8 AI accelerator for the machine vision market

UP Squared Pro 710H

AAEON UP Squared Pro 710H is a 4×4-inch SBC and developer board designed for machine vision applications with an Intel Processor N97 or Core i3-N305 Alder Lake-N CPU and a 26 TOPS Hailo-8 Edge AI processor. The single board computer supports up to two MIPI CSI cameras via a 61-pin connector and offers expansion capabilities through a 40-pin Raspberry Pi-compatible header and three M.2 sockets for 5G, Wi-Fi, and NVMe storage support. While it’s only designed to operate in the 0 to 60°C temperature range, it does have industrial features such as 12V to 36V DC input and two RS-232/422/485 connectors. UP Squared Pro 710H specifications: Alder Lake N-series SoC (one or the other) Intel Processor N97 quad-core processor up to 3.6 GHz with 6MB cache, 24EU Intel UHD Graphics Gen 12 @ 1.2 GHz; TDP: 12W Intel Core i3-N305 octa-core processor up to 3.8 GHz with 6MB cache, 32EU Intel […]

Posted on by Debashis Das - 2 Comments on OpenUC2 10x is an ESP32-S3 portable microscope with AI-powered real-time image analysis

OpenUC2 10x is an ESP32-S3 portable microscope with AI-powered real-time image analysis

Seeed Studio OpenUC2 10x AI Microscope

Seeed Studio has recently launched the OpenUC2 10x AI portable microscope built around the XIAO ESP32-S3 Sense module. Designed for educational, environmental research, health monitoring, and prototyping applications this microscope features an OV2640 camera with a 10x magnification with precise motorized focusing, high-resolution imaging, and real-time TinyML processing for image handling. The microscope is modular and open-source making it easy to customize and expand its features using 3D-printed parts, motorized stages, and additional sensors. It supports Wi-Fi connectivity with a durable body, uses USB-C for power and swappable objectives make it usable in various applications. Previously we have written about similar portable microscopes like the ioLight microscope and the KoPa W5 Wi-Fi Microscope, and Jean-Luc also tested a cheap USB microscope to read part number of components. Feel free to check those out if you are looking for a cheap microscope. OpenUC2 10x specifications: Wireless MCU – Espressif Systems ESP32-S3 CPU […]

Posted on by Sayantan Nandy - No Comments on Microchip PIC64HX1000 64-bit RISC-V AI MPU delivers post-quantum security for aerospace, defense, and automotive applications

Microchip PIC64HX1000 64-bit RISC-V AI MPU delivers post-quantum security for aerospace, defense, and automotive applications

Microchip PIC64HX1000 64 bit AI MPU

Microchip recently unveiled the PIC64HX1000 64-bit RISC-V AI microprocessor (MPU) family designed for mission-critical intelligent edge applications in the aerospace, defense, industrial, and medical sectors thanks to a quantum-resistant design. These new MPUs feature eight SiFive’s Intelligence X280 cores, each clocked at 1 GHz. The MPUs are engineered with a decoupled vector pipeline enabling 512-bit operations enabling the PIC64HX1000 to achieve up to 2 TOPS for AI/ML processing and come equipped with integrated Time-Sensitive Networking (TSN) Ethernet connectivity. This new microprocessor includes a dedicated system controller for runtime monitoring and fault management, WorldGuard architecture for workload isolation, and post-quantum defense-grade cryptography, which includes the NIST-standardized FIPS 203 and FIPS 204 cryptographic algorithms, ensuring protection against future quantum computing threats. PIC64HX1000 64-bit AI MPU specification MPU variants PIC64HX1000 – IN (Industrial) PIC64HX1000 – AV (Aviation) PIC64HX1000 – MI (Military) CPU – 8x 64-bit RISC-V cores (SiFive X280), up to 1 GHz, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Raspberry Pi AI HAT+ features Hailo-8L or Hailo-8 AI accelerator with up to 26 TOPS of performance

Raspberry Pi AI HAT+ features Hailo-8L or Hailo-8 AI accelerator with up to 26 TOPS of performance

Raspberry Pi AI HAT+ 26 TOPS

The Raspberry Pi AI HAT+ is a PCIe expansion board for the Raspberry Pi 5 with either a 13 TOPS Hailo-8L or 26 TOPS Hailo-8 AI accelerator. You may remember the Raspberry Pi AI Kit was introduced last June with an official M.2 Key M HAT+ and a 13 TOPS Hailo-8L M.2 AI accelerator module, The new Raspberry Pi AI HAT+ is quite similar except the chip is soldered on the expansion board and offered with either Hailo-8L or the more powerful Hailo-8 variant. Raspberry Pi AI HAT+ specifications: Supported SBC – Raspberry Pi 5 AI accelerator Hailo-8L AI accelerator with up to 13 TOPS of performance Hailo-8 AI accelerator with up to 26 TOPS of performance Host Interface – PCIe Gen3 interface 16mm stacking GPIO header PCIe FPC cable Spacers and screws enabling fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler Dimensions – 65 x 56.5 mm […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Qualcomm introduces IQ9, IQ8, and IQ6 industrial IoT SoC families with up to 100 TOPS of AI performance

Qualcomm introduces IQ9, IQ8, and IQ6 industrial IoT SoC families with up to 100 TOPS of AI performance

Qualcomm IQ9 IQ8 IQ6 industrial IoT processors

Qualcomm Technologies has introduced the new industrial-grade IQ chipset family with the IQ9, IQ8, and IQ6 series offering on-device AI performance of up to 100 TOPS, industrial temperature range, and built-in safety features such as SIL-3 (safety and integrity level). Qualcomm IQ series of chipsets target a range of premium (IQ9), mid-tier (IQ8), and entry-level (IQ6) applications such as industrial and agricultural robots, drones, industrial inspection and automation, edge AI boxes with computer vision capabilities, edge gateway analytics solutions, and more. Qualcomm IQ9 Series – IQ-9100, IQ-9075 Key features and specifications: CPU IQ-9075 – Octa-core Kryo Gen 6 scaling from 1.632 to 2.55 GHz IQ-9100 – Octa-core Kryo Gold Prime @ 2.36 GHz (CNXSoft: The specs are not clear for the CPU part…, both SKUs could be the same for the CPU part) GPU – Adreno 663 GPU Audio DSP (LPASS) 1980 MPPS, 7x TDM/I2S 3x High-Speed I2S for Radio […]

Posted on by Debashis Das - 2 Comments on Firefly introduces Rockchip RK3576 SoM and All-in-One carrier board compatible with NVIDIA Jetson Orin Nano and Orin NX modules

Firefly introduces Rockchip RK3576 SoM and All-in-One carrier board compatible with NVIDIA Jetson Orin Nano and Orin NX modules

AIO 3576JD4 Mainboard or devboard

Firefly has released a Rockchip RK3576 SoM and development board called the Core-3576JD4 Core Board with a SO-DIMM edge connector and the AIO-3576JD4 carrier board respectively. The core board or the SoM is built around an octa-core 64-bit processor with a Mali G52 MC3 GPU and a 6 TOPS NPU, so it can handle demanding AI tasks while maintaining low power consumption. The AIO-3576JD4 is a full-fledged carrier board with a wide range of on-board interfaces, like dual Gigabit Ethernet ports, MIPI-CSI, HDMI 2.1, USB 3.0, USB 2.0, USB Type-C, a Phoenix connector for serial, dual-row pin headers (SPI, I2C, Line in, and Line out), an M.2 socket for 5G, a mini PCIe for 4G LTE, an M.2 socket for WiFi 6/BT 5.2, and a third M.2 socket for SATA/PCIe NVMe SSD expansion. RK3576 AI SoM and dev board specification Core-3576JD4 specifications SoC – Rockchip RK3576 CPU – Octa-core  CPU […]

Posted on by Sponsored Post - No Comments on reComputer R1000 Raspberry Pi CM4-powered IoT Gateway runs open-source software for Edge AI applications (Sponsored)

reComputer R1000 Raspberry Pi CM4-powered IoT Gateway runs open-source software for Edge AI applications (Sponsored)

Seeed Studio electrical box architecture

Seeed Studio is a Raspberry Pi-approved reseller and device designer. In May 2024, Seeed released their first edge IoT Raspberry Pi-powered gateway and controller, reComputer R1000. It is Raspberry Pi CM4-powered, with AI capabilities when equipped with Hailo NPU. It comes with all the necessary features that a robust and reliable industrial edge IoT device needs, along with rich and versatile interfaces like three RS485 ports, dual Ethernet, and flexible IoT wireless communication (4G, LoRa, Wi-Fi/BLE, Zigbee) and essential functional modules (GPS, UPS, TPM2.0, PoE, SSD, etc.). With Modbus and BACnet supported, it’s a perfect fit for remote access control, especially BMS, BAS, and iBMS. You’ll find more technical details in our previous article about the reComputer R1025, and on Seeed Studio’s product page where you can also purchase the AIoT gateway. As a powerful edge IoT controller and gateway with AI capabilities, it embraces the Raspberry Pi community, is […]

EmbeddedTS embedded systems design