computer vision News - Page 18 of 25 - CNX Software

April 9, 2021April 9, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Rugged, fanless quad-camera system brings AI and Machine Vision to rolling stock and automotive applications

quad-camera system automotive AI & machine vision

Eurotech BoltGPU 10-31 is a rugged fanless embedded system powered by NVIDIA Jetson Xavier NX module, equipped with four FAKRA connectors for GMSL camera, and designed to bring Edge AI and machine vision to rolling stock (e.g. trains) and automotive applications. The BoltGPU 10-31 also features 16 GB of eMMC flash, NVMe SSD support, three Gigabit Ethernet interfaces, WiFI 6 and Bluetooth 5.1, two USB3.1 ports, as well as isolated CAN-FD, optoisolated DIO, video out, and GNSS with optional RTK. BoltGPU 10-31 specifications: System-on-Module – NVIDIA Jetson Xavier NX with hexa-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 cache, 384-core NVIDIA Volt GPU with 48 Tensor Cores (up to 21 TOPS of accelerated computing), 8 GB LPDDR4x RAM, 16GB eMMC 5.1 flash Storage MicroSD card socket Optional 512 GB NVMe SSD on M.2 Key M socket 256 Kbit Serial EEPROM Video Output – 1x Mini […]

April 9, 2021 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Eyecam open-source webcam will make you feel spied on

Most people will use webcams connected to a computer or integrated into a laptop without thinking about the possibility of being spied on, but Eyecam will certainly raise awareness and make you feel like somebody is truly watching. The open-source webcam is shaped like a human eye and acts like one thanks to a Raspberry Pi camera and an Arduino board controlling six servos for eyeball, eyelids, and eyebrows movements. The project was conducted at Saarland University in Germany, and Eyecam looks amazingly realistic – and creepy – with the eyeball and eyelids moving, especially when face tracking is enabled, and expressions are possible with servos controlling the eyebrows. The webcam is comprised of 3D printed parts, a Raspberry Pi camera connect to Raspberry Pi Zero recognized as a USB webcam from the host, and an Arduino Leonardo Pro Micro to control the 6 servo motors. On the software side, […]

March 10, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Microsoft previews Azure Percept Edge AI development platform

Microsoft has recently announced the public preview of Azure Percept platform combining hardware and services to ease AI implementations at the edge through the use of Azure AI technologies and Azure cloud for device management, AI model development, and analytics. The hardware currently available includes the Azure Percept DK (Development Kit) with an NXP i.MX 8M powered WiFi & Bluetooth gateway/carrier board, the Azure Percept Vision system on module (SoM), as well as the optional Azure Percept Audio SoM with a 4-mic array. Key features and specifications: Azure Percept DK carrier board SoC – NXP iMX 8M quad-core Cortex-A53 processor System Memory – 4GB RAM Storage – 16GB flash Connectivity – Ethernet, WiFi and Bluetooth connectivity via Realtek USB – 2x USB-A 3.0 port, 1x USB-C port Security – Nuvoton NCPT750 Trusted Platform Module (TPM) version 2.0 Power Supply – 19V/3.4A Systems-on-Module Azure Percept Vision SoM based on Intel Movidius […]

March 8, 2021March 8, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Edge AI video processing system combines SocioNext SC2000 4K camera SoC with Hailo-8 AI accelerator

We’ve previously written about Hailo-8 AI accelerator delivering up to 26 TOPS at low power (3 TOPS per watt), and found in AI edge systems such as Foxconn BOXiedge server powered by a Socionext SynQuacer SC2A11 24x Cortex-A53 cores SoC and capable of analyzing up to 20 streaming camera feeds in real-time for video analytics. Leopard Imaging has now created a much more compact Edge AI processing solution with EdgeTuring based on Hailo-8 M.2 card and Socionext SC2000 4K camera SoC, and designed for low-power video analytics. EdgeTuring features and specifications: Camera SoC / Image Processor – Socionext SC2000 quad-core Cortex-A7 processor @ 650MHz with 4Kp30 H.265/H.264 encoder, up to 1.2 Gigapixel per second processing, LPDDR-3 memory (PoP) AI Module – Hailo-8 M.2 Module for up to 26 TOPS Camera Dual camera but only one sensor works for AI Sensors – 2x Sony IMX477 CMOS Image Sensor, diagonal 7.857 mm […]

February 25, 2021February 25, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

StereoPi v2 stereoscopic camera is powered by Raspberry Pi CM4 (Crowdfunding)

StereoPi stereoscopic camera based on Raspberry Pi Compute Module 3 was introduced in late 2019 on Crowd Supply. The camera can record 3D video, create 3D depth maps with OpenCV, and benefits from the Raspberry Pi software ecosystem. The developers are now back with an upgraded model. StereoPi v2 comes with many of the same features, but as it is based on Raspberry Pi CM4 (Compute Module 4) it offers better performance, Gigabit Ethernet, Wifi & Bluetooth connectivity out of the box, while other features like PoE, TFT screen, shot button, etc.. are optional. StereoPi v2 specifications: Supported SoM – Raspberry Pi CM4 or CM4Lite modules Storage – MicroSD card socket Video Output – Micro HDMI port Camera I/F – 2x MIPI CSI camera connector plus “hackable camera lines” Networking – Gigabit Ethernet RJ45 port, plus optional WiFi 5 and Bluetooth 5.0 on Raspberry Pi CM4 module USB – 2x […]

February 7, 2021February 7, 2021 by Saumitra Jagdale - No Comments

Person Detection on Raspberry Pi Pico with ArduCAM and TensorFlow Lite

ArduCAM is popular for camera-based applications with various boards ranging from Arduino to Raspberry Pi. We also saw the company’s tiny coin-sized Raspberry Pi compatible module 5 years ago. Now, it also supports the newly launched Raspberry Pi Pico for real-time video applications. Raspberry Pi Pico is compatible with the ArduCAM Mini 2MP Plus camera featuring an OV2640 2MP CMOS image sensor that supports automatic image control functions including Automatic Exposure Control (AEC) and Automatic Gain Control(AGC). The camera also comes with an onboard JPEG encoder for image compression. The company has provided a Github repository with two demo applications: a video streaming application and an example for basic person detection with the probability percentage of detection. There is also an option of directly using the UF2 files for flashing with Raspberry Pi Pico, if you don’t want to build the demo from the source code yourself. The application runs […]

January 31, 2021 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

K210 AI Accelerator Raspberry Pi pHAT targets secure AIoT projects (Crowdfunding)

Kendryte K210 is a dual-core RISC-V AI processor that was launched in 2018 and found in several smart audio and computer vision solutions. We previously wrote a Getting Started Guide for Grove AI HAT for Raspberry Pi using Arduino and MicroPython, and XaLogic XAPIZ3500 offered an even more compact K210 solution as a Raspberry pi pHAT with Raspberry Pi Zero form factor. The company is now back with another revision of the board called “XaLogic K210 AI accelerator” designed to work with Raspberry Pi Zero and larger boards with the 40-pin connector. K210 AI Accelerator board specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor @ 400 MHz with 8MB on-chip RAM, various low-power AI accelerators delivering up to 0.5 TOPS, Host Interface – 40-pin Raspberry Pi header using: SPI @ 40 MHz via Lattice iCE40 FPGA I2C, UART, JTAG, GPIOs signals Security Infineon Trust-M cloud security chip 128-bit AES […]

January 28, 2021May 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Arduino Portenta H7 Gets Embedded Vision Shield with Ethernet or LoRa Connectivity

[Update January 28, 2021: The LoRa version of Portenta Vision Shield is now available] Announced last January at CES 2020, Arduino Portenta H7 is the first board part industrial-grade “Arduino Pro” Portenta family. The Arduino MKR-sized MCU board has plenty of processing power thanks to STMicro STM32H7 dual-core Arm Cortex-M7/M4 microcontroller. It was launched with a baseboard providing access to all I/Os and ports like Ethernet, USB, CAN bus, mPCIe socket (USB), etc… But as AI moves to the very edge, it makes perfect sense for Arduino to launch Portenta Vision Shield with a low-power camera, two microphones, and a choice of wired (Ethernet) or wireless (LoRA) connectivity for machine learning applications. Portenta Vision Shield key features and specifications: Storage – MicroSD card socket Camera – Himax HM-01B0 camera module with 324 x 324 active pixel resolution with support for QVGA Image sensor – High sensitivity 3.6μ BrightSense pixel technology […]