Jevois Pro small AI camera with Amlogic A311D SoC offers up to 13 TOPS (Crowdfunding)

JeVois Pro

Jevois-A33 smart camera was a tiny Linux camera with Allwinner A33 processor designed for computer vision applications and announced in 2016. I had the opportunity to review the computer vision camera the following year, and it was fun to use to learn about computer vision with many examples, but since it relied on the CPU for processing, it would not have been suitable for all projects due to the lag, as for example, object detection took 500ms and Yolo V3 around 3 seconds per inference. But time has passed, and great progress has been made in the computer vision and AI fields with the tasks now usually handled by a built-in NPU, or an AI accelerator card. So JeVois Pro deep learning camera has just been launched with an Amlogic A311D processor featuring a 5 TOPS NPU, and support for up to 13 TOPS via a Myriad X or Google […]

Edge AI system combines Foxconn FXN3102 Arm SoC with Hailo-8 or Lightspeeur 2801S AI accelerator

Did you know Foxconn makes processors now? Well, they do, or at least can pretend they do to as we’ll see below. Foxconn FXN3102 24-core Arm Cortex-A53 processor is found in Vecow VAC-1000, a compact Edge AI computing system, that also features either an Hailo-8 AI accelerator or Gyrfalcon Lightspeeur 2801S NPU. The Ubuntu 18.04 server system also comes with up to 16GB DDR4-2133 memory, optional NX Witness VMS (Video Management System) supported, and targets intelligent surveillance applications such as public surveillance or traffic monitoring, as well as smart retail, factory automation, and any other AIoT/Industry 4.0 applications. Vecow VAC-1000 specifications: SoC – Foxconn FXN3102 24-core Arm Cortex-A53 processor @ up to 1.0 GHz System Memory – 8GB or 16GB DDR4 2133MHz ECC SO-DIMM Storage 64GB eMMC flash, 512MB SPI Flash, up to 512KB EEPROM 1x SATA III port up to 6 Gbps 1x M.2 2280 Key M socket for […]

Imago “VisionAI” Smart AI Camera supports Tensorflow Lite & AutoML Vision Edge

Imago Technologies GmbH “VisionAI” is a programmable Smart AI camera that combines a quad-core Cortex-A53 processor @ 1.8 GHz together with Google Edge TPU, and designed for embedded image processing applications in the fields of AI, Deep Learning, and Machine Learning. The smart camera supports TensorFlow Lite and AutoML Vision Edge frameworks, and is suited for tasks such as pattern recognition, classification, anomaly or defect detection in inspection applications, code reading, and other machine vision applications. Imago VisionAI (VisionSensor PV3 AI) camera specifications: SoC – Unnamed quad-core Arm Cortex-A53 processor @ 1.8 GHz (likely NXP i.MX 8M Mini) AI Accelerator – Google Edge TPU with up to 4 TOPS of AI processing power System Memory – 2 GB DDR4 RAM Storage – MicroSD card up to 32GB Connectivity – Gigabit Ethernet M12 connector Camera 1/1.8” 5MP mono or color CMOS sensor with 2560 × 1936 pixels resolution, up to 65 […]

SiFive Intelligence X280 64-bit RISC-V processor integrates AI extensions

The last RISC-V core announced by SiFive was the U8-Series out-of-order RISC-V Core IP that aims to compete against Arm Cortex-A72 Core. But in their latest announcement, the company built upon the 64-bit RISC-V U7-series with the SiFive Intelligence X280 multi-core, Linux capable RISC-V processor adding vector extensions and SiFive Intelligence Extensions, and optimized for AI/ML compute at the edge. SiFive Intelligence X280 key features: 64-bit RISC-V ISA with 8-stage dual-issue in-order pipeline,  coherent multi-core, Linux capable based on U7 series core. SiFive Intelligence Extensions for ML workloads – BF16/FP16/FP32/FP64, int8 to 64 fixed-point data types 512-bit vector register length – Variable-length operations, up to 512-bits of data per cycle High-performance vector memory subsystem Memory parallelism provides cache miss tolerance Virtual memory support with precise exceptions Up to 48-bit addressing SiFive Intelligence includes software solutions to leverage the X280’s features and provide “great AI inference performance” using TensorFlow Lite. No […]

reTerminal – A Raspberry Pi CM4 based 5-inch HMI Terminal

Seeed Studio has just unveiled reTerminal HMI terminal that reminds me of the company’s Wio Terminal based on Microchip SAMD51 Arm Cortex-M4F microcontroller with a 2.4-inch display. But as we’ll look into the details, reTerminal is quite a different beast as a Linux-capable device powered by a Raspberry Pi CM4 module with up to 8GB RAM, equipped with a 5-inch capacitive touchscreen display, and supporting plenty of connectivity options from GIgabit Ethernet to WiFi to LoRaWAN. reTerminal specifications: SoM – Raspberry Pi Computer Module 4 with Broadcom BCM2711 quad-core Cortex-A72 processor @ 1.5 GHz, up to 8GB RAM, up to 32GB flash Display – 5-inch capacitive touchscreen display with 1280×720 resolution Video Output – Micro HDMI port up to 4Kp60 Camera I/F – 2-lane MIPI CSI inteface Connectivity Gigabit Ethernet with optional PoE support 802.11 b/g/n/ac WiFi and Bluetooth 5.0 BLE (on Raspberry Pi CM4 module) Optional 5G, 4G LTE, […]

Arducam Pico4ML Board – TinyML on Raspberry Pi RP2040 with QVGA Camera & Display

A few months ago, ArduCAM demonstrated person detection on Raspberry Pi Pico with Arducam camera using TensorFlow Lite, and later we noted more work was being performed to bring machine learning to RP2040 platforms, notably with the development of Arducam Pico4ML board with a built-in camera and display. At the time, i..e last month, all we had were some renders of the board, but now Arducam Pico4ML pre-orders have launched for $49.99 on UCTRONICS and Tindie stores. Shipping is scheduled to start at the end of the month, so let’s have a closer look. Arducam Pico4ML TinyML devkit specifications: Microcontroller – Raspberry Pi RP2040 dual-core Cortex-M0+ MCU with 264 KB of embedded SRAM Storage – 2MB SPI flash Display – 0.96-inch LCD SPI Display (ST7735) with 160 x 80 resolution Camera – HiMax HM01B0 QVGA camera (320×240 @ 60fps) Audio – Built-in microphone Sensor – IDK ICM-20948 9-axis IMU (gyroscope, […]

Sparkfun Thing Plus – Quicklogic EOS S3 Arm eFPGA board launched in Crowd Supply

SparkFun Electronics is a well-known electronics retailer that usually sells its in-house developed or third-party boards through its own online store. But this time around, the company decided to launch “Sparkfun Thing Plus – Quicklogic EOS S3” through Crowd Supply crowdfunding platform. The board is based on QuickFeather board designed with the same Quicklogic EOS S3 Arm Cortex-M4 plus embedded FPGA SoC, but follows Sparkfun’s Thing Plus form factor with a Qwiic connector and a different mix of sensors. Sparkfun Thing Plus – Quicklogic EOS S3 (QTPLUS-1.0) board specifications: SoC – QuickLogic EOS S3 MCU + eFPGA SoC with Arm Cortex-M4F Microcontroller up to 80 MHz, up to 512 Kb SRAM, and an embedded FPGA (eFPGA) with 2400 effective logic cells, 64 Kb RAM Storage – 16 Mbit SPI NOR flash (GigaDevice GD25Q16CEIGR) Sensors STMicro LIS2DH12TR accelerometer Digital pulse density modulation (PDM) microphone with Wake-on-Sound (WoS) feature: Vesper VM3011-U1 Expansion […]

PoE powered AI Edge computer combines NXP i.MX 8M SoC with Google Edge TPU

AAEON has introduced several BOXER AI edge computers over the years either powered by an NVIDIA Jetson module, a HiSilicon HI3559A Arm SoC, or an Intel processor combined with Movidius Myriad AI accelerator. The latest model, BOXER-8521AI, combines an NXP i.MX 8M SoC with Google Edge TPU AI accelerator, and offers 1GB RAM, USB ports, a 40-pin external I/O connector, and 12V or PoE power inputs. AAEON BOXER-8521AI specifications: SoC – NXP i.MX 8M SoC quad-core Cortex-A53 processor with Cortex-M4F real-time core, 2D/3D GPUs AI Accelerator – Google Edge TPU ML accelerator coprocessor System Memory – 1GB LPDDR4x RAM Storage – 8GB eMMC flash, MicroSD card slot Video Output – 1x HDMI 2.0a port Audio – 1x Mic-in, 1x Line-out, optional 2x MEMS microphones Connectivity Gigabit Ethernet RJ45 port with PoE (802.3at) Optional? WiFi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) & Bluetooth 4.1 plus two antennas USB – 2x USB3.2 Gen 1 […]