computer vision

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Edge video processing platform features NXP i.MX 8M Plus, i.MX 93, or i.MX 95 SoC, supports up to 23 camera types

Edge video processing platform features NXP i.MX 8M Plus, i.MX 93, or i.MX 95 SoC, supports up to 23 camera types

DAB Embedded AquaEdge video processing platform

DAB Embedded AquaEdge is a compact computer based on NXP i.MX 8M Plus, i.MX 93, or i.MX 95 SoC working as an edge video processing platform and supporting 23 types of vision cameras with resolution from VGA up to 12MP, and global/rolling shutter. The small edge computer features a gigabit Ethernet RJ45 jack with PoE to power the device. It is also equipped with a single GSML2 connector to connect a camera whose input can be processed by the built-in AI accelerator found in the selected NXP i.MX processors. Other external ports include a microSD card slot, a USB 3.0 Type-A port, and a mini HDMI port (for the NXP i.MX 8M Plus model only). DAB Embedded AquaEdge specifications: SoC / Memory / Storage options NXP i.MX 8M Plus CPU – Quad-core Cortex-A53 processor @ 1.8GH, Arm Cortex-M7 real-time core AI accelerator – 2.3 TOPS NPU VPU Encoder up to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on YOLO-Jevois leverages YOLO-World to enable open-vocabulary object detection at runtime, no dataset or training needed

YOLO-Jevois leverages YOLO-World to enable open-vocabulary object detection at runtime, no dataset or training needed

YOLO-Jevois general object detection by typing words

YOLO is one of the most popular edge AI computer vision models that detects multiple objects and works out of the box for the objects for which it has been trained on. But adding another object would typically involve a lot of work as you’d need to collect a dataset, manually annotate the objects you want to detect, train the network, and then possibly quantize it for edge deployment on an AI accelerator. This is basically true for all computer vision models, and we’ve already seen Edge Impulse facilitate the annotation process using GPT-4o and NVIDIA TAO to train TinyML models for microcontrollers. However, researchers at jevois.org have managed to do something even more impressive with YOLO-Jevois “open-vocabulary object detection”, based on Tencent AI Lab’s YOLO-World, to add new objects in YOLO at runtime by simply typing words or selecting part of the image. It also updates class definitions on […]

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 Jean-Luc Aufranc (CNXSoft) - 2 Comments on NanoCOM-ADN – A COM Express Type 10 Module based on Intel Alder Lake-N SoC

NanoCOM-ADN – A COM Express Type 10 Module based on Intel Alder Lake-N SoC

AAEON NanoCOM-ADN COM Express module

AAEON NanoCOM-ADN is a compact (84 x 55mm) COM Express Type 10 module based on Intel Alder Lake-N SoCs, namely Processor N50/N97, Atom x7425E, or Core i3-N305 that adds another option to the SMARC, Qseven, and COM Express Type 6 modules offered by the company with the same processors. The NanoCOM-ADN computer-on-module features up to 16GB LPDDR5x soldered-on memory, up to 64GB eMMC flash, and two Intel i226-V 2.5GbE controllers. Its standard 220-pin COM Express board-to-board connector exposes two SATA interfaces, four PCIe Gen3 x1 interfaces, DDI and LVDS video outputs, eight USB interfaces, and more. AAEON explains the Alder Lale-N COM Express Type 10 CPU module is especially suited to digital signage, healthcare imaging, machine vision, industrial, robotics, and edge computing applications.   AAEON NanoCOM-ADN specifications: Alder Lake N-series SoC (one or the other) Intel Atom x7425E quad-core processor up to 3.4 GHz with 6MB cache, 24EU Intel UHD […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Raspberry Pi 5 edge AI computer ships with 8GB RAM, Hailo-8 AI module, supports Frigate NVR

Raspberry Pi 5 edge AI computer ships with 8GB RAM, Hailo-8 AI module, supports Frigate NVR

Raspberry Pi 5 Edge AI computer

Seeed Studio’s reComputer AI R2130-12 is an Edge AI computer with a Raspberry Pi 5 SBC with 8GB RAM and a Hailo-8 module with 26 TOPS of AI performance, suitable for video analytics, machine vision, and intelligent edge computing. The computer comes with a HAT+ with two M.2 sockets, one occupied by the Hailo-8 AI accelerator and the other available for an M.2 NVMe SSD. In some ways, it’s just a nicely packaged Raspberry Pi 5 SBC with Hailo-8 AI accelerator that we reviewed last year. reComputer AI R2130-12 specifications: SBC – Raspberry Pi 5 with 8GB RAM AI Processor – Hailo-8 M.2 AI accelerator module with 26 TOPS Storage microSD card slot, with support for high-speed SDR104 mode Optional M.2 NVMe SSD via M.2 PCIe 3.0 slot Video Output – 2x micro HDMI ports up to 4Kp60 Camera/Display I/F – 2x 4-lane MIPI camera/display transceivers Networking Gigabit Ethernet RJ45 […]

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Lattice unveils Nexus 2 small FPGA platform, Lattice Avant 30 and Avant 50 mid-range devices, updated Lattice design software tools

Lattice unveils Nexus 2 small FPGA platform, Lattice Avant 30 and Avant 50 mid-range devices, updated Lattice design software tools

Lattice Nexus 2

Lattice Semiconductors announced several new FPGAs and software tools at the Lattice Developers Conference 2024 which took place on December 10-11. First, the company unveiled the Nexus 2 small FPGA platform starting with the Certus-N2 general-purpose FPGAs offering significant efficiency and performance improvements in this category of devices. The Lattice Avant 30 and Avant 50 were also introduced as mid-range FPGA devices with new capacity options to enable edge-optimized and advanced connectivity applications. Finally, the company releases new versions of Lattice design software tools and application-specific solution stacks to help accelerate customer time-to-market such for edge AI, embedded vision, factory automation, and automotive designs with Lattice Drive. Let’s have a look at the highlights of each announcement. Lattice Nexus 2 small FPGA platform and Certus-N2 FPGA Highlights and benefits of the Lattice Nexus 2 small FPGA platform: Power Efficiency against similar class competitive devices Up to 3x lower power Up […]

Posted on by Debashis Das - No Comments on Sipeed’s MaixCAM-Pro AI camera devkit adds 2.4-inch LCD, 1W speaker, PMOD interface on top of WiFi 6 and BLE 5.4

Sipeed’s MaixCAM-Pro AI camera devkit adds 2.4-inch LCD, 1W speaker, PMOD interface on top of WiFi 6 and BLE 5.4

Sipeed MaixCAM Pro AI camera devkit

Sipeed has recently released the MaixCAM-Pro AI camera devkit built around the SOPHGO SG2002 RISC-V (and Arm, and 8051) SoC which also features a 1 TOPS NPU for AI tasks. The module includes a 2.4-inch color touchscreen and supports up to a 5MP camera module. Other features include WiFi 6, BLE 5.4, optional Ethernet, built-in audio capabilities, a PMOD interface, GPIOs, and more. Additionally, it features an IMU, RTC chip, and AXP2101 power management for enhanced performance. The module is designed for AI vision, IoT, multimedia, and real-time processing applications. Just a few months back, Sipeed introduced the MaixCAM AI camera devkit, which is also built around the SOPHGO SG2002 RISC-V SoC. The new module improves on the MaixCAM with a redesigned PCB, upgraded casing, and various new features including a 2.4-inch IPS touchscreen (640×480), a 1W speaker, expanded IO interfaces, a power button, and an illumination LED. It also […]