computer vision News - Page 2 of 27 - CNX Software

December 4, 2024December 28, 2024 by Paisit Wongsongsarn - 1 Comment

SONOFF CAM Slim Gen2 Review – A tiny indoor security camera tested with eWeLink and Home Assistant

We have received the latest tiny indoor security camera from SONOFF: the second generation of the CAM Slim series known as the CAM Slim Gen2 (or CAM S2 for shorts). Some of you might remember the first-generation CAM Slim model reviewed by Jean-Luc about two years ago. The Gen2 version keeps the same 1080p resolution but comes with several upgraded features, including AI algorithms to distinguish living beings, customizable detection zones, customizable privacy zones, sleep mode, enhanced low-light image quality, and flexible storage management. Although it’s packed with several enhancements, its price is lower than the Gen1. Let’s delve into the details! SONOFF CAM Slim Gen2 unboxing Inside the box, you’ll find a compact manual, a USB-C cable, a mounting kit, and a sticker template acting as a drilling guide. The camera is smaller than your palm and comes mounted on a versatile, rotatable base, making installation in various positions […]

November 26, 2024December 18, 2024 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Getting Started with Raspberry Pi AI HAT+ (26 TOPS) and Raspberry Pi AI camera

Raspberry Pi AI HAT+ and AI camera review

Raspberry Pi recently launched several AI products including the Raspberry Pi AI HAT+ for the Pi 5 with 13 TOPS or 26 TOPS of performance and the less powerful Raspberry Pi AI camera suitable for all Raspberry Pi SBC with a MIPI CSI connector. The company sent me samples of the AI HAT+ (26 TOPS) and the AI camera for review, as well as other accessories such as the Raspberry Pi Touch Display 2 and Raspberry Pi Bumper, so I’ll report my experience getting started mostly following the documentation for the AI HAT+ and AI camera. Hardware used for testing In this tutorial/review, I’ll use a Raspberry Pi 5 with the AI HAT+ and a Raspberry Pi Camera Module 3, while I’ll connect the AI camera to a Raspberry Pi 4. I also plan to use one of the boards with the new Touch Display 2. Let’s go through a […]

November 22, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Mercury X1 wheeled humanoid robot combines NVIDIA Jetson Xavier NX AI controller and ESP32 motor control boards

Elephant Robotics Mercury X1 is a 1.2-meter high wheeled humanoid robot with two robotic arms using an NVIDIA Jetson Xavier NX as its main controller and ESP32 microcontrollers for motor control and suitable for research, education, service, entertainment, and remote operation. The robot offers 19 degrees of freedom, can lift payloads of up to 1kg, work up to 8 hours on a charge, and travel at up to 1.2m/s or about 4.3km/h. It’s based on the company’s Mercury B1 dual-arm robot and a high-performance mobile base. Mercury X1 specifications: Main controller – NVIDIA Jetson Xavier NX CPU – 6-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 caches GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI accelerators – 2x NVDLA deep learning accelerators delivering up to 21 TOPS at 15 Watts System Memory – 8 GB 128-bit LPDDR4x @ 51.2GB/s Storage – 16 […]

November 8, 2024November 10, 2024 by Sayantan Nandy - No Comments

Portwell PJAI-100-ON rugged Edge AI embedded system features NVIDIA Jetson Orin Nano for industrial quality control

Portwell has launched the PJAI-100-ON, a rugged and compact embedded system powered by the NVIDIA Jetson Orin Nano SOM and designed for demanding industrial environments. It operates reliably across a wide temperature range of -20°C to 60°C with a fanless, quiet design that requires minimal maintenance. Equipped with dual Gigabit Ethernet LAN ports and M.2 slots for wireless connectivity, the PJAI-100-ON is tailored for Edge AI applications. This system enhances quality control in manufacturing by using advanced optical inspection technology to detect defects, improving quality assurance and reducing production errors. Previously, we covered other Jetson Orin Nano embedded systems, including Aetina’s AIE-KO21, AIE-KO31, AIE-KN31, and AIE-KN41 and DFI X6-MTH-ORN fanless Edge AI Box computer, as well as Portwell’s WEBS-21J0-ASL another rugged embedded system built around an Intel Atom x7000RE Amstom Lake Nano-ITX motherboard and equipped with an Hailo-8 AI accelerator. Portwell PJAI-100-ON specifications: SoM – NVIDIA Jetson Orin Nano CPU […]

November 8, 2024November 10, 2024 by Jean-Luc Aufranc (CNXSoft) - 119 Comments

Giveaway Week 2024 – RT-Thread Vision board with Renesas RA8D1 Arm Cortex-M85 MCU

It’s already Friday, and the fifty prize of CNX Software’s Giveaway Week 2024 will be the RT-Thread Vision board equipped with a Renesas RA8D1 Arm Cortex-M85 microcontroller, a camera, an optional LCD display, and a 40-pin GPIO header. The board is used as an evaluation platform for the Renesas RA8D1 MCU and RT-Thread real-time operating system. As its name implies, it’s mainly designed for computer vision applications leveraging the Helium MVE (M-Profile Vector Extension) for digital signal processing (DSP) and machine learning (ML) applications. I haven’t reviewed it myself and instead, received two samples from RT-Thread who sent them to me by mistake, so I’ll give them away here and on the Thai website. But it was reviewed by Supachai who tested the RT-Thread Vision board with OpenMV and ran a few benchmarks last June. The Helium MVE did not seem to be utilized in OpenMV at that time (June […]

November 5, 2024November 5, 2024 by Tomisin Olujinmi - No Comments

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

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 […]

November 1, 2024November 1, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

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

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 […]

October 29, 2024October 28, 2024 by Debashis Das - 2 Comments

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

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 […]