computer vision

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on M5Stack ESP32-S3-Pico-based devkits: ATOMS3R with 0.85-inch color display, and ATOMS3R Cam with VGA camera

M5Stack ESP32-S3-Pico-based devkits: ATOMS3R with 0.85-inch color display, and ATOMS3R Cam with VGA camera

ATOMS3R ESP32-S3-Pico devkit

M5Stack ATOMS3R and ATOMS3R Cam are two tiny devkits based on ESP32-S3-Pico system-in-package and a similar design but the first one features a 0.85-inch color color IPS display, while the other is equipped with a GC0308 VGA camera. Both modules measure just 24x24mm with a thickness of around 13mm, integrate BMM150 and BMI270 motion sensors, offer GPIO expansion through female headers and a grove connector, and feature an infrared transmitter and a USB Type-C port for power and programming. Those are the second devkits based on the ESP32-S3-Pico SiP after we covered the tiny OMGS3 module earlier this week. M5Stack ATOMS3R with display ATOMS3R specifications: SiP – Espressif ESP32-S3-PICO-1-N8R8 SoC ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 16 KB RTC SRAM Wireless – WiFi 4 and Bluetooth 5 LE + Mesh Memory – 8MB QSPI PSRAM Storage – 8MB QSPI flash Display – 0.85-inch color IPS screen […]

Posted on by Tomisin Olujinmi - No Comments on MIKRIK V2 Robot Car is an entry-level, open-source robotics kit built for ROS and 3D computer vision

MIKRIK V2 Robot Car is an entry-level, open-source robotics kit built for ROS and 3D computer vision

MIKRIK V2 open source robotics kit

The MIKRIK V2 Robot Car is an open-source robotics kit for studying 3D computer vision and is compatible with both ROS1 and ROS2 software suites. The two-wheel-drive robot is powered by a Raspberry Pi 4 Model B (as a ROS1 differential drive controller) and a more powerful x86 or ARM single-board computer that can support ROS2 applications like the LattePanda Delta 3, Intel NUC, or NVIDIA Jetson Nano. The robot car uses the Intel Realsense D435i camera for 3D depth vision. It is a less expensive alternative to the iRobot Create, Husarion, and TurtleBot, and compares favorably with NVIDIA’s open-source JetBot AI robot platform. The robot car’s chassis is squared-off and made from shatterproof flex plastic. The CAD files are available on GitHub for self-assembly using a laser cutter and a 3D printer. The assembly and setup process is documented on the Hackster project page. On the software end, it […]

Posted on by Debashis Das - No Comments on reCamera modular AI camera features SG2002 RISC-V AI SoC, supports interchangeable image sensors and baseboards

reCamera modular AI camera features SG2002 RISC-V AI SoC, supports interchangeable image sensors and baseboards

Seed Studio reCamera 2002w

Seeed Studio’s reCamera AI camera is a modular RISC-V smart camera system for edge AI applications based on SOPHGO SG2002 SoC. The camera is made up of three boards: the Core board, the Sensor board, and the Baseboard. The Core board includes hosts the processor, storage, and optional Wi-Fi. The Sensor board consists of image choice of image sensors, and the Baseboard provides various connectivity options including USB Type-C, UART, microSD, and optional PoE port and CAN bus connectivity options. At the time of writing the company has released the C1_2002w and C1_2002 core boards. The C1_2002w core board includes eMMC storage, Wi-Fi, and BLE modules, and the C1_2002 features extra SDIO and UART connectivity, but not WiFi. Both boards use the SOPHGO SG2002 tri-core processor and can be paired with various camera sensors for applications such as robotics, healthcare, smart home, as well as buildings and industrial automation.   […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 6 Comments on Review of Napcat wireless NVR with solar-powered security cameras

Review of Napcat wireless NVR with solar-powered security cameras

Napcat solar-powered wireless NVR review

After I reviewed the NapCat smart video doorbell last June, the company asked me to review a wireless NVR with solar-powered security cameras and I understood I would receive a kit with four solar-powered cameras and an NVR with storage preinstalled. In this review, I’ll go through an unboxing, a quick teardown of the NVR, the installation process, and my experience with the Napcat NVR user interfaces (connected to HDMI) and the Napcat Life Android app which I also used with the video doorbell. Napcat wireless NVR N1S22 kit unboxing The package I’ve received reads “N1S22” model of a “Solar-powered Security Camera System” and is quite smaller than I expected. One reason for the small size is that my kit only comes with two cameras instead of four, and the company also did a good job of making everything take as little space as possible. On the net, you’ll see […]

Posted on by Debashis Das - 4 Comments on ASRock IMB-A8000 industrial Ryzen Embedded 8000 mini-ITX motherboard takes up to 96GB DDR5 RAM

ASRock IMB-A8000 industrial Ryzen Embedded 8000 mini-ITX motherboard takes up to 96GB DDR5 RAM

ASRockI MB A8000 Mini ITX Industrial Motherboard

ASRock Industrial recently launched the IMB-A8000, an industrial and embedded motherboard in a mini-ITX form factor. As an embedded motherboard, it is powered by AMD Ryzen Embedded 8000 series APU which features 8 cores and 16 threads, built with 4nm technology, and including a 16 TOPS AI accelerator. The motherboard supports up to 96GB of dual-channel DDR5-5600MHz memory and includes one 2.5GbE LAN port and one GbE LAN port. With a wide temperature range of -20ºC to 70ºC this motherboard can be used in applications like manufacturing, robotics, machine vision, and more. Previously we have seen SolidRun introduce the Bedrock R8000 industrial PC built around the Ryzen Embedded 8000 APU family. Other than that we have written about other Ryzen Embedded mini-ITX motherboards/SBCs such as the Flex Logic InferX Hawk combining an AMD Ryzen Embedded R2314 SoC with AI accelerators, the DFI RNO171 with Ryzen Embedded V2000 family, or more […]

Posted on by Sponsored Post - No Comments on Mixtile Edge AI boxes work with ONVIF cameras to deploy video analytics solutions (Sponsored)

Mixtile Edge AI boxes work with ONVIF cameras to deploy video analytics solutions (Sponsored)

Mixile Ege AI Box

Mixtile Edge AI solution supports ONVIF cameras and leverages object detection, object classification, real-time analysis, and intelligent monitoring to create IoT video analytics applications across the security, transportation, logistics, retail, industry, and agriculture sectors. The hardware is based on the time-tested Mixtile Edge 2 Kit IoT gateway powered by a Rockchip RK3568 SoC with a 1 TOPS NPU and 1080p60 VPU, or Mixtile Blade 3 SBC featuring the more powerful Rockchip RK3588 octa-core SoC with a 6 TOPS AI accelerator and an 8Kp60 VPU. The former can analyze up to 10 streams in real-time, and the latter up to a whopping 40 streams. So the novelty here is on the software side that has been developed by Mixtile and works the following way: The ONVIF cameras transmit video streams to a Mixtile Edge AI Box over the network. The Edge AI Box then runs pre-trained AI models to analyze the […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 17 Comments on Radxa Fogwise Airbox AI box review – Part 2: Llama3, Stable Diffusion, imgSearch, Python SDK, YOLOv8

Radxa Fogwise Airbox AI box review – Part 2: Llama3, Stable Diffusion, imgSearch, Python SDK, YOLOv8

Radxa Airbox Fogwise review

After checking out Radxa Fogwise Airbox hardware in the first part of the review last month, I’ve now had time to test the SOPHGO SG2300x-powered AI box with an Ubuntu 20.04 Server image preloaded with CasaOS as well as Stable Diffusion and Llama3 containers. I’ll start the second part of the review by checking out the pre-installed Stable Diffusion text-to-image generator and Llama3 AI chatbot, then manually install imgSearch AI-powered image search engine in CasaOS web dashboard, test the Python SDK in the command line, and run some AI vision models, namely Resnet50 and YOLOv8. Radxa Fogwise Airbox OS installation Radxa only provided an Ubuntu Server 20.04 image last month with only the basics pre-installated. The company has now improved the documentation and also made two images available for the Radxa Fogwise Airbox: Base image (1.2GB) – Based on Ubuntu Server 20.04; contains only Sophon base SDK and backend. Full […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on DFI X6-MTH-ORN fanless Edge AI Box computer combines 14th Gen Intel Core Ultra SoC with NVIDIA Jetson Orin AI module

DFI X6-MTH-ORN fanless Edge AI Box computer combines 14th Gen Intel Core Ultra SoC with NVIDIA Jetson Orin AI module

DFI X6-MTH-ORN Edge AI Box computer

DFI X6-MTH-ORN is a fanless Edge AI Box Computer that combines an NVIDIA Jetson Orin NX/Nano AI module with a 14th Gen Intel Core Ultra “Meteor Lake-U” 15W processor for AI-driven applications leveraging GPU computing, machine learning, and image processing. It’s a fully modular computer with an Intel COM Express Type 6 or Type 10 module, an NVIDIA Jetson Orin module, and five M.2 sockets for expansion. The fanless embedded system takes up to 64GB DDR5 RAM, supports M.2 NVMe and 2.5-inch SATA storage, offers seven video outputs (3x HDMI, 3x DP+, VGA), and six Gigabit Ethernet ports. The X6-MTH-ORN is designed for industrial applications and environments with serial interfaces, wide 9V-36V DC input, and an extended -20°C to 60°C temperature range. DFI X6-MTH-ORN specifications: Meteor Lake-U SoC (one of the other) Intel Core Ultra 7 165U 12-core (2P+8E+2LPE) processor @ 1.7 / 4.9  GHz with 12MB cache, Intel 4Xe […]

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