 | | The World's First Physical AI Agent to Revolutionize Space Management SenseCAP Watcher identifies, monitors, and even interacts with objects of interest in the designated spaces. It comprehends behaviors, and statuses, and notifies anomalies —all based on voice commands.Dive into our online simulator NOW! | |  | | Coral USB accelerator is a USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.
Available in US&EU warehouse！ |  | | This Grove Digital PIR Sensor is the cheapest PIR sensor in the PIR families, however, it is able to give a quick response and generate a high signal from the "sig" Pin. | |  | It is a cost-effective MCU based on Espressif’s ESP32-C6. This compact MCU excels in Matter-compliant smart home applications with its support for various wireless connectivity (2.4GHz Wi-Fi 6, BLE 5.0, Zigbee, and Thread). Designed with the thumb-size footprint and a single-sided mount of the XIAO Series, it's perfect for space-limited projects.
Check out our latest wiki. 🚀 |  | Featuring a high-efficiency AM67A AI vision processor from Texas Instruments, BeagleY®-AI enables up to 4 TOPS of deep learning performance and simplifies the design of fanless facial recognition, touchless HMIs, and real-time automation projects for makers, hobbyists, students, and professional developers alike. | |  | | The upgraded processor provides Raspberry Pi Zero 2 W with 40% more single-threaded performance, and five times more multi-threaded performance, than the original single-core Raspberry Pi Zero. |  | It brings AI-enabled NVR to the edge and features NVIDIA Jetson Orin™ NX 16GB for 100 TOPS AI performance, has a fanless design, expandable storage, versatile mounting options and allows deployment for more harsh environments and heavier loads. | |  | | It is a low-power pure-offline voice recognition module with less than 100ms identification time and 150 pre-programmed commands. It uses the US516P6 voice chip with a 32-bit RSIC architecture core, DSP instruction set, and FPU arithmetic unit. Ideal for various smart devices like smart home appliances, toys, and lamps that require voice control. |  | This version of the Raspberry Pi Compute Module 4 includes a high-performance 64-bit quad-core processor, 8GB LPDDR4 RAM, 32GB eMMC, dual-display support at resolutions up to 4K, hardware video decode at up to 4Kp60, Gigabit Ethernet, USB 2.0, dual camera interfaces, PCIe Gen 2 x1 interface, and dual-band 2.4/5.0GHz wireless LAN and Bluetooth 5.0. | |  | #Projectspotlight:
Check out the Escalator People Tracker project, powered by NVIDIA Robotics Jetson AGX Orin, is setting a new standard in real-time data analysis and AI applications. It is intelligent system that detect and track people in large retail spaces to drive live AI Generative graphics by accurately counting individuals moving up and down escalators to build site safety.
Click here know more details. |  | | It provides a giant leap forward for Robotics and Edge AI. With up to 275 TOPS of AI performance and power configurable between 15W and 60W, you now have more than 8X the performance of NVIDIA® Jetson AGX Xavier™ in the same compact form-factor for developing advanced robots and other autonomous machine products. | |  | #Projectspotlight:
📌 The 3D-printed framework from Nerdiy.de transforms an IKEA RIBBA into an ePaper dashboard powered by Seeed XIAO ESP32C3.
Click here know more details. |  | It adopts new RISC-V architecture, supporting both Wi-Fi and BLE wireless connectivities. For Internet of Things applications, you will find it is flexible and suitable for all kinds of IoT scenarios.
It equipped a highly-integrated ESP32-C3 chip, built around a 32-bit RISC-V chip processor with a four-stage pipeline that operates at up to 160 MHz. | |  | The embedded world Exhibition&Conference 2024 has started!! We look forward to meeting you at the Seeed Studio Booth #𝟰-𝟱𝟱𝟭 showcasing all our latest embedded products and solutions for the next few days! ✅ 𝗢𝗡𝗘 𝗻𝗲𝘄 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱
✅ 𝗧𝗪𝗢 𝗺𝗮𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀
✅ 𝗧𝗛𝗥𝗘𝗘 𝘁𝘆𝗽𝗲𝘀 𝗼𝗳 𝗘𝗱𝗴𝗲 𝗱𝗲𝘃𝗶𝗰𝗲𝘀 | | | We delved into the fascinating world of edge AI and explored the intersection of tinyML and Local Large Language Models (LLMs). Hosted by Eric and Christina, this event was packed with insights, demos, and even some exciting giveaways. | | | | |
