 | OpenUC2 10x AI Microscope - Powered by Seeed Studio XIAO ESP32S3 Sense
$109 Created in collaboration with openUC2, this device is ideal for hackers, optics newcomers, and biologists. It offers more functionalities than a standard USB microscope, including timelapse, autofocusing, and autonomous operation with image storage on an SD card. |  | Raspberry Pi Al HAT+ 26 TOPS
$110
The Raspberry Pi AI HAT+ is an add-on board with a built-in Hailo AI accelerator for Raspberry Pi 5. It provides an accessible, cost-effective, and power-efficient way to integrate high-performance AI. Explore applications including process control, security, home automation, and robotics.
| |  | | Home Assistant SkyConnect / Connect ZBT-1 USB Stick
$29.99 It features a +20 dBm range, plug-and-play setup, and firmware updates. Built on the Silicon Labs EFR32MG21 chipset, it includes a USB extension cable to avoid interference. Best used with Zigbee firmware, with Thread support coming soon. |  | Coral USB Accelerator
$59.99
Coral USB Accelerator is a USB accessory that designed to speed up machine learning inference to boost the existing systems' performance.
| |  | SenseCAP Multi-Platform LoRaWAN Indoor Gateway(SX1302-4G) - US915
$149 (Save $40) It supports global LoRaWAN® frequency plans from 865 MHz to 923 MHz and can be used in multiple LoRaWAN® applications like smart building, environmental monitoring systems, precision farming, etc. It has wide-range coverage and strong signal output capability and other features, making it the perfect gateway for building a LoRaWAN® network. |  | reServer - Compact Edge Server powered by 11th Gen Intel® Core™ i3 1125G4
$274.5（Save $274.5）
reServer is based on an ODYSSEY X86 v2 board and powered by Intel® Core™ 11th Gen. i3 and Intel UHD Graphics 48EUs (400 - 1250 MHz), which delivers high CPU and AI performance for various applications. | |  | | WatchThis, A Wearable Point-and-Ask Interface Powered by Vision-Language Models and XIAO ESP32S3 Sense
MIT Media Lab researchers Cathy Mengying Fang, Patrick Chwalek, Quincy Kuang, and Pattie Maes have developed WatchThis, a XIAO ESP32S3 Sense-powered wearable device that enables natural language interactions with real-world objects through simple pointing gestures. By integrating Vision-Language Models (VLMs) with a compact wrist-worn device, WatchThis allows users to ask questions about their surroundings in real-time, making contextual queries as intuitive as pointing and asking. Learn more here. | |  | | Buy SenseCAP T1000-E, Get Free Snap Hooks Now!
Join the Seeed Autumn Promotion: Starting October 25, Buy 2 T1000-E units and get 2 Snap Hooks for free. Just add both products to your cart, and the discount will be applied automatically at checkout no coupon needed. Option #2, you can click to check out Adrelien's comprehensive review of the T1000-E for more insights and receive a 10% discount. | |  | 🤠 The lightweight, device-level open-source LLM is available now!! We'd like to show you how to easily deploy the latest Llama 3.2 through the Ollama inference engine on reComputer, powered by NVIDIA Jetson Orin. No complex coding or configurations needed! Check it out on Jetson Examples GitHub.
>>reComputer run ollama
>>ollama run llama3.2
Now you can extract details from images, generate multilingual text, summarize captions, and get real-time responses with small-size/lightweight modelsall with full data privacy, perfect to be processed on the edge/mobile devices. | |  | Join us on Seeed Fusions Hi Tour on November 18th for an immersive journey into modern manufacturing! Discover cutting-edge equipment used in the factory, while gaining insights into digital management practices that drive efficiency. Understand our innovative co-create projects, illustrating how Fusion assists users from initial prototype to mass production, and promotion ultimately. Seats are limited, so dont miss out on this unique opportunity!
Event Date: November 18, 2024
Registration Period: October 16 November 6, 2024
Cost: $35 per person (excluding lunch) / $43 (including lunch)
Register Now! | | | | |
