This October has been tremendously packed with my duty as Seeed Studio’s Ranger. From OSHWAto Pycon APAC 2024, every event left a great spot on my mind. Here is the recap for my activity this October 2024.
1. October 3rd 2024, OSHWA 24 Hours Membership Drive Show & Tell
This live online session is initiated by OSHWA and runs 24 hours straight. My session is scheduled to run at 6 PM local time. After rushing to be at home before my schedule, I managed to get on time and share my open-source projects on Hackster. After sharing my open-source projects, I introduce the Seeed Studio Co-Create Gadget campaign to the audience.
2. October 17th 2024, Transforming IoT with Edge Intelligence Seminar
This seminar is initiated by the student organization on my campus and has two speakers. The other speaker is one of my ex student whom now work as a cloud engineer. It is the perfect opportunity to introduce Seeed Studio to my campus while also giving the students insight into the latest technology in AI, Machine Learning, IoT, and Edge Computing.
In the seminar, I mainly focus on the next step of IoT which is the inclusivity of Machine Learning in IoT solutions and how reComputer could be a small compact solution to implement it.
3. October 25th 2024, Pycon APAC 2024
This is my highlight of the month because the Python Indonesia community is becoming the host for this year’s annual Python Conference of the Asia Pacific area. In total, there are 80 Speakers from across Asia pacific with hundreds of participants.
At Pycon I managed to schedule a workshop session on 25th October 2024 titled “Building IoT and Camera Project with XIAO ESP32S3 and Micropython”.
In this workshop, I shared various things that the XIAO ESP32S3 can do with Micropython such as basic input and output, camera stream, displaying JSON weather data on the OLED screen, and interacting with the Grove Vision AI V2 sensor.
4. November 2nd 2024, Internet of Things Seminar at Universitas Banten Jaya
A friend from another campus has invited me to this seminar. The location of campus is in Serang, a neighboring city from where I live and it is a 2-hour drive from home.
The material that I shared in this seminar is the same as what I shared at my previous seminar on my campus. The organizer told me that they don’t have much insight regarding IoT on campus, so this seminar could be a huge step for advancing the knowledge on their campus.
Imagine turning your everyday clothes into smart motion-tracking tools. That’s exactly what a team of researchers at Cornell University has achieved with SeamPose. This innovative project, led by Catherine Tianhong Yu and Professor Cheng Zhang uses conductive threads sewn over the seams of a shirt to transform it into an upper-body pose-tracking device by unleashing the power of XIAO nRF52840. Unlike traditional sensor-laden garments that change the clothing’s appearance and comfort, SeamPose blends seamlessly into everyday wear without compromising aesthetics or fit.
This project offers exciting potential applications in areas like health monitoring, sports analytics, AR/VR, and human-robot interaction by making wearable tracking more accessible and comfortable.
Source: Cornell University Team
Hardwares
To build SeamPose, the following key hardware elements were used:
Long-sleeve T-shirt with machine-sewn conductive thread along the seams.
A 36x31mm board with two FDC2214 capacitance-to-digital converters
3.7V 290mAh LiPo battery
Source: Cornell University Team
How SeamPose Works
SeamPose operates by transforming ordinary seams in a long-sleeve shirt into capacitive sensors, enabling real-time tracking of upper-body movements. Conductive threads, specifically insulated silver-plated nylon, are machine-sewn along key seams—such as the shoulders and sleeves—without altering the garment’s appearance or comfort. As the wearer moves, the seams stretch and shift, causing variations in their capacitance. These signals are captured by a customized sensing board integrated with two FDC2214 capacitance-to-digital converters and the XIAO nRF52840 microcontroller. The XIAO nRF52840 transmits the data wirelessly via Bluetooth Low Energy (BLE) to a nearby computer for processing.
The transmitted signals are fed into a deep learning model that maps the seam data to 3D joint positions relative to the pelvis. This allows the system to interpret complex upper-body movements using only eight sensors distributed symmetrically along the shirt. During testing, SeamPose achieved a mean per joint position error (MPJPE) of 6.0 cm, comparable to more invasive tracking systems. The XIAO nRF52840 ensures seamless real-time data transmission, making SeamPose a breakthrough in wearable technology by combining comfort with precise motion tracking.
Source: Cornell University Team
What’s Next for SeamPose?
SeamPose offers a glimpse into the future of smart clothing, where everyday garments become powerful tools for motion tracking without sacrificing comfort or design. However, challenges like real-world deployment considerations and smart-clothing manufacturing at scale need to be addressed for broader adoption. The research team plans to explore improved seam placement and enhanced sensor calibration for even more accurate tracking in the future.
If you’re excited about SeamPose and want to dive deeper, check out their paper on ACM Digital Library
Hey community, we’re curating a monthly newsletter centering around the beloved Seeed Studio XIAO. If you want to stay up-to-date with:
Cool Projects from the Community to get inspiration and tutorials Product Updates: firmware update, new product spoiler Wiki Updates: new wikis + wiki contribution News: events, contests, and other community stuff
When using a traditional USB Microscope, what is your biggest pain? Complex optical setups? Manual focusing adjustment? Fixed design without any flexibility? Reliability on the USB cable for connection? No timelapse or autonomous operation? These are no longer the pain with the OpenUC2 10x AI Microscope. With the vision of being the Raspberry Pi of Optics, the OpenUC2 team got the inspiration from electronics rapid prototyping tools, and invented this modular, automated and tinyML-enabled microscope.
Meet OpenUC2 10x AI Microscope, The Raspberry Pi of Optics
OpenUC2 10x AI Microscope is a collaborative innovation between openUC2 and Seeed Studio that brings advanced, accessible microscopy to everyone. This “Raspberry Pi for Optics” features high-resolution imaging via an XIAO ESP32S3 with the OV2560 camera, precision motorized focusing, and a modular, robust design ideal for both field and classroom use. With Wi-Fi connectivity, browser-based control, and support for autonomous operations like timelapse imaging, it’s designed for educators, researchers, and hobbyists alike.
The complete microscope kit is easy to assemble, customizable, and part of a broader initiative to democratize sophisticated scientific tools, inviting users to join a community committed to open science and open innovation.
Key Features
High-Resolution Imaging: Powered by XIAO ESP32-S3 with the high-resolution OV2560 camera sensor
Precision Control: Motorized focusing mechanism for micrometer-precise adjustments
Modular Design: Easily customizable with swappable objectives and additional modules
Portable & Robust: Compact form factor perfect for field research
Smart Connectivity: Wi-Fi enabled with browser-based control interface
Autonomous Operation: Supports timelapse imaging and SD card storage
Customized Firmware: TinyML for on-the-fly image processing directly on the device, integrating sensors and other hardware for automated experiments.
However, this briliant product concept comes a long way. According to OpenUC2 team, It all started with the idea of creating a simple microscope for studying differentiating macrophages in a cell incubator back in 2017. From the beginning, UC2 was designed to make optics more affordable, available, and accessible. Adding additional features back then and the increasing interest from the research community made the the UC2 system a global resource for building and understanding arbitrarily complicated optical systems.
By now, with this latest OpenUC2 10x AI Microscope, the users can build anything from an introductory setup to a complex, high-resolution microscope using OpenUC2’s injection-molded cubes, enabling the the rapid assembly of complex optical setups, not only in educational settings but also for professional use in industries.
“Our goal is to build an open ecosystem/platform where people can easily exchange ideas and develop solutions, not just in electronics but also optics. “Benedict Diederich, CEO of OpenUC2 shares their goal for this new microscope. “It’s crucial to lower entry barriers, allowing users to work with ready-made modules that can be purchased from an online shop. “
Brought to Market by Fusion Co-Create Services
If we date back, this is not the first projects that we collaborate with OpenUC2, but it makes a very special one where Seeed Fusion worked closely with OpenUC2 to bring this impactful product to the market, now available at our official store and hopefully in our distribution partners’ network soon.
Seeed Fusion is dedicated to elevating your innovative ideas into products and solutions for various verticals. With the full range of open-source modules and industry-grade devices, expertise in product design, experience in production, and resources in glocal community and marketing. We’re your go-to partner from 0 to ∞. Co-Create with Seeed Fusion, you can leverage Seeed’s capabilities in Prototype, Produce, and Promote, ranging from custom design, manufacturing to selling, covering the full product lifecycle from idea to delivery and iteration!
Initially, Benedict built a modular microscope using the cube framework. To reduce costs, we comprehensively optimized the product’s structure, including:
Structural optimization: Inviting professional engineers to optimize the overall structure design and select more optimal materials.
Supply chain optimization: Matching the supply chain locally to find the best suppliers and reduce material costs.
User experience optimization: Optimizing the product from application scenarios and user experience perspectives.
Packaging design: Designing a delicate and environmentally friendly packaging box to enhance the overall product value.
After more than three months of close cooperation, we finally launched the XIAO microscope, a high-quality and cost-effective product.
When talking about the Fusion Co-Create Program, Benedict comments, “The Fusion Co-Create Program helped transform our initial cube-based concept into a concrete product. Seeed Studio guided us through various challenges, forming a nearly friendly relationship between their product managers, engineers, and our team in Jena. The geographical distance and time zone differences were never an issue—we even collaborated with German contacts in Düsseldorf. A high level of trust was built, and I would recommend this program to anyone looking to bring an idea to life.”
Order Now to Support OpenUC2' s Vision
Open UC2 team’s vision perfectly aligns with our mission at Seeed to make technology accessible for all. The openUC2 10x AI Microscope is more than just a microscope – it’s an invitation to join a community of innovators shaping the future of optical instrumentation.
Type in the code OpenUC2 to enjoy the exclusive discount NOW as it’s a limited offer that expires on October 30, 2024.
If you’re interested in bringing this amazing invention to your community or country, please feel free to reach out us at maker@seeed.cc. Moreover, our Fusion Co-Create Program is dedicated to enabling more developers or teams like OpenUC2 to scale up their impactful designs, while they can get a licensing fee for each piece sold. If you also have a cool Seeeed-based project, that you want to bring to the market, feel free to reach out to us at fusion@seeed.io.
Last But Not Least:
Meet OpenUC2 Team at Our Livestream
Be the first to know the story behind the Xiao AI Microscope! Join us this Friday for a live chat with Benedict, the mastermind behind this incredible device. Get a sneak peek into the development process and learn how Fusion Co-Create brought this innovative product to life.
Tune in to our livestream for exclusive deals! We’ll be giving away limited coupons on the Microscope for $30 and $100 coupons for our Fusion PCBA service. Don’t miss out on this amazing deal!
Since we released the Wio Tracker 1110 Dev Kit and SenseCAP Card Tracker T1000-E, we’ve gotten a lot of feedback from the community to include a smaller, more affordable Meshtastic powered product. And our answer is the XIAO ESP32S3 for Meshtastic & LoRa. Sized as small as your thumb, and priced at only $9.9, it‘s the smallest dev kit for prototyping your first Meshtastic and LoRa/LoRaWAN projects.
XIAO ESP32S3 + Semtech SX1262 LoRa
Featuring the powerful thumb-sized XIAO ESP32S3 Dev Board and a Wio-SX1262 Extension Board, the XIAO ESP32S3 Dev Kit for Meshtastic & LoRa is a super mini LoRa dev kit supporting LoRa (862-930MHz) with a 5km LoRa range. It also supports WiFi, BLE for wireless communication with a range of 100m+. Built on the XIAO ESP32S3, the kit comes with a built-in power management systems, and can be expanded via IIC, UART, and other GPIO interfaces. Compatible with Arduino IDE, it’s available for pre-order now at $9.9, with an estimated shipping in November, 2024.
Key Features of XIAO ESP32S3 for Meshtastic and LoRa Dev Kit
Meshtactic works out of the box: Pre-flashed with Meshtastic firmware, it is ready to work once powered on.
Outstanding RF performance: Supports LoRa(862-930MHz) 2.4GHz Wi-Fi and BLE 5.0 dual wireless communication, support 2~5km(LoRa) and 100m+(Wi-Fi/BLE) remote communication when connected with U.FL antenna.
Thumb-sized Compact Design: 21 x 18mm, adopting the classic form factor of Seeed Studio XIAO, suitable for space-limited projects.
Powerful MCU Board: Incorporate the ESP32S3 32-bit, dual-core, Xtensa processor running at up to 240MHz, mounted multiple development ports, Arduino / MicroPython supported.
Elaborate Power Design: Includes a Type-C USB interface and lithium battery charge management.
Same Hardware for Multiple Applications: Can be developed as a Meshtastic node or router, a single-channel LoRaWAN gateway, or a LoRa & LoRaWAN sensor.
Applications of XIAO ESP32S3 for Meshtastic & LoRa
1. Tap into Meshtastic for Off-Grid Communication
Meshtastic is an open-source, off-grid, decentralized LoRa mesh network designed for affordable, low-power devices. This XIAO ESP32S3 Dev Kit offers a flexible and cost-effective solution for Meshtastic developers. You can build a Meshtastic device at an affordable price and use it as an emergency communication tool, similar to the SenseCAP T1000-E, but simpler in function. Moreover, thanks to the amazing Seeed Studio XIAO Product Ecosystem, it’s compatible with the XIAO Expansion Board and the Grove Expansion Board for adding screens, sensors, and over 300+ Grove modules, allowing you to customize your unique Meshtastic devices. You can even design your own casing.
2. Configure It as a LoRa/LoRaWAN Sensor Node
It can be set up as a LoRa node, enabling the XIAO ESP32S3 Dev Kit to connect with various sensors and transmit data using LoRaWAN. This offers flexibility for different applications, like home automation. Essentially, the XIAO ESP32S3 Dev Kit can serve as a data collection and transmission node, allowing for communication and control among smart home devices.
3. The Most Cost-Effective Single-Channel LoRa/LoRaWAN Gateway
Thanks to the powerful Semtech SX1262 LoRa Chip, you can turn it into a single-channel gateway, making it the most cost effective single-channel LoRaWAN gateway in the world. It receives LoRa packets on a specific setting and share them with the LoRaWAN network. By using the XIAO ESP32S3 Dev Kit, you can set it up to connect to The Things Network or Chripstack. This kit is great for those who want to learn about LoRa technology and connect to a LoRa Network Server (LNS).
Available for pre-order now at just $9.9, the XIAO ESP32S3 Dev Kit is one of our solutions to provide the community more affordable and flexible products for you to build your LoRa-based IoT projects. Stay tuned for more updates on our Meshtastic-powered and LoRaWAN products. If you have any ideas or suggestions about our Meshtastic-compatible products, feel free to share them in the comments!
MIT Media Lab researchers Cathy Mengying Fang, Patrick Chwalek, Quincy Kuang, and Pattie Maes have developed WatchThis, a groundbreaking wearable device that enables natural language interactions with real-world objects through simple pointing gestures. Cathy conceived the idea for WatchThis during a one-day hackathon in Shenzhen, organized as part of MIT Media Lab’s “Research at Scale” initiative. Organized by Cedric Honnet and hosted by Southern University of Science and Technology and Seeed Studio, the hackathon provided the perfect setting to prototype this innovative device using components from the Seeed Studio XIAO ESP32S3 suite. 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.
Credit: Cathy Fang
Hardwares
The WatchThis project utilizes the following hardware components:
WatchThis is designed to seamlessly integrate natural, gesture-based interaction into daily life. The wearable device consists of a watch with a rotating, flip-up camera attached to the back of a display. When the user points at an object of interest, the camera captures the area, and the device processes contextual queries based on the user’s gesture.
The interaction begins when the user flips up the watch body to reveal the camera, which then captures the area where the finger points at. The watch’s display shows a live feed from the camera, allowing precise aiming. When the user touches the screen, the device captures the image and pauses the camera feed. The captured RGB image is then compressed into JPG format and converted to base64, after which an API request is made to query the image.
The device uses these API calls to interact with OpenAI’s GPT-4o model, which accepts both text and image inputs. This allows the user to ask questions such as “What is this?” or “Translate this,” and receive immediate responses. The text response is displayed on the screen, overlaid on the captured image. After the response is shown for 3 seconds, the screen returns to streaming the camera feed, ready for the next command.
The software driving WatchThis is written in Arduino-compatible C++ and runs directly on the device. It is optimized for quick and efficient performance, with an end-to-end response time of around 3 seconds. Instead of relying on voice recognition or text-to-speech—which can be error-prone and resource-intensive—the system uses direct text input for queries. Users can further personalize their interactions by modifying the default query prompt through an accompanying WebApp served on the device, allowing tailored actions such as identifying objects, translating text, or requesting instructions.
Credit: Cathy Fang
Applications
Imagine strolling through a city and pointing at a building to learn its history, or identifying an exotic plant in a botanical garden with a mere gesture.
The device goes beyond simple identification, offering practical applications like real-time translation of, for example, menu items, which is a game-changer for travelers and language learners alike.
The research team has discussed even more exciting potential applications:
A “Remember this” function could serve as a visual reminder system, potentially aiding those who need to take medication regularly.
For urban explorers, a “How do I get there” feature could provide intuitive, spatially-aware navigation by allowing users to point at distant landmarks.
A “Zoom in on that” capability could offer a closer look at far-off objects without disrupting the user’s activities.
Perhaps most intriguingly, a “Turn that off” function could allow users to control smart home devices with a combination of voice commands and gestures, seamlessly integrating with IoT ecosystems.
While some of these features are still in conceptual stages, they paint a picture of a future where our interactions with the world around us are more intuitive, informative, and effortless than ever before.
Credit: Cathy Fang
Build Your Own WatchThis
Interested in building your own WatchThis wearable? Explore the open-source hardware and software components on GitHub and start creating today! Check out their paper below for full details.
Hey community, we’re curating a monthly newsletter centering around the beloved Seeed Studio XIAO. If you want to stay up-to-date with:
Cool Projects from the Community to get inspiration and tutorials Product Updates: firmware update, new product spoiler Wiki Updates: new wikis + wiki contribution News: events, contests, and other community stuff
Hey community, we are excited to announce that three of our powerful XIAO ESP32 development boards are now fully integrated with Wokwi, the popular online electronics simulator! You can now experiment, test, prototype and build projects virtually with theXIAO ESP32C6, XIAO ESP32S3, and XIAO ESP32C3 directly from your browser. A big shout-out to Uri Shaked, Founder and Creator of Wokwi, for making this happen.
What is Wokwi?
Wokwi is an innovative online electronics simulator that supports a wide variety of microcontrollers, sensors, and peripherals. Whether you’re working with an Arduino, ESP32, STM32, or other popular boards, Wokwi gives you a fast and easy way to design and test embedded projects – all from the convenience of your browser.
Key Benefits of Wokwi:
Start instantly: No need for downloading complex software or waiting for hardware.
Learn by experimenting: Mistakes won’t fry your components – experiment freely without fear!
Debug with confidence: With Wokwi’s virtual logic analyzer, WiFi simulation, and GDB debugging, you can tackle both hardware and software challenges.
Share your work easily: A simple link to your Wokwi project is all you need to get feedback from the community.
Unlimited parts: No more scouring for hardware – use as many virtual components as you need without worrying about cost or availability.
Wokwi is free to use and perfect for beginners and experienced developers alike. For professional users, the Wokwi Club offers access to advanced features and lets you shape the platform’s future.
Integration of 3 XIAO ESP32 Dev Boards on Wokwi
This integration reaffirms our commitment to providing makers and developers with cutting-edge tools that enable rapid prototyping and seamless development.
With the integration you can simulate your XIAO ESP32-based projects and start coding even without these boards at hand right away. It also allows developers to take full advantage of the flexibility of Wokwi to prototype IoT applications, debug projects, and refine ideas before working with real hardware.
The XIAO ESP32C6 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). Encrypted on the chip, XIAO ESP32C6 ensures a desired level of security, streamlined development experience, and swift market entry by integrating easily with major IoT Cloud platforms.
Use Cases: Smart home devices, IoT gateways, and low-latency networking
The XIAO ESP32S3 leverages 240MHz Xtensa 32-bit LX7 dual-core processor, supporting both WiFi and BLE 5.0 wireless connectivities, a 2.4GHz Rod antenna, allows for deep sleep mode with power consumption as low as 14μA while supporting lithium battery charging management.
Use Cases: AI-based edge computing, real-time data processing, and robotics.
The XIAO ESP32C3 is a compact and affordable development board powered by ESP32-C3. It offers low-power operation and Bluetooth LE support, making it ideal for battery-powered devices and wearable technology.
Use Cases: Smart sensors, fitness trackers, and BLE-based applications.
Simulate, Experiment, and Share Your XIAO Projects
It’s time to bring your ideas to life! With the XIAO ESP32C6, XIAO ESP32S3, and XIAO ESP32C3 now available on Wokwi, you have the tools you need to simulate, prototype, and refine your projects – all in a virtual environment
If you think you made something cool, share your projects with us! We’d love to see what you create. Tag us on social media or post your Wokwi project links. Let’s build something amazing together and inspire others in the community.
BTW., these 3 dev boards are just the beginning. We’re working hard together with the team at Wokwi to make more Seeed products available on Wokwi. Feel free to comment to let us know which product you want to see live on Wokwi.
End Note
Hey community, we’re curating a monthly newsletter centering around the beloved Seeed Studio XIAO. If you want to stay up-to-date with:
Cool Projects from the Community to get inspiration and tutorials Product Updates: firmware update, new product spoiler Wiki Updates: new wikis + wiki contribution News: events, contests, and other community stuff
Tired of all those unused keys collecting dust on your keyboard? Meet MONOKEY, a one-button Bluetooth keyboard designed to simplify your tech experience. Created by Big Bad Cult, MONOKEY is a revolutionary wireless 1% mechanical keyboard that brings utility, fun, and personalization to your daily tasks. Whether you’re looking for a practical key charm, a fidget tool, or a programmable button for macros, MONOKEY offers endless possibilities—all powered by the reliable XIAO ESP32C3 microcontroller.
Source: Big Bad Cult
Hardwares
The MONOKEY project is built using the following hardware components:
The MONOKEY is a compact and portable one-button Bluetooth keyboard that connects effortlessly to any Bluetooth-enabled device, including smartphones, tablets, and computers. Out-of-the-box Bluetooth connectivity allows it to pair quickly with any compatible device, making it instantly ready for use with just one app for mapping. You can program MONOKEY to perform a wide range of tasks, from executing complex keyboard combinations to controlling media playback or even simplifying repetitive tasks like typing passwords with a single press.
Thanks to its hot-swappable key switches, MONOKEY is customizable—you can easily swap key switches and keycaps to match your personal style and preferences without needing to solder. Additionally, MONOKEY supports Wi-Fi connectivity, enabling advanced users to develop custom firmware using Arduino libraries. This feature opens up endless possibilities for creating custom commands or macros.
MONOKEY is powered by a 100 mAh rechargeable battery, providing long-lasting use. Charging is made simple with a USB-C port, ensuring fast recharges when needed. Its lightweight and compact design make it highly portable, allowing you to carry it with ease and add an extra layer of personalization to your tech setup wherever you go.
Source: Big Bad Cult
Get Your MONOKEY Today!
Interested in simplifying your life, one key at a time? The MONOKEY has been launched on Kickstarter with over 400% funded. You can still order one today for just $39! Shipping is available worldwide, with a $5 flat rate for the US and Canada. Get your MONOKEY before Christmas and revolutionize your workflow with this practical, customizable one-key Bluetooth keyboard. For more details and to join the community, hop onto their Discord. Click your worries away!
Hey community, we’re curating a monthly newsletter centering around the beloved Seeed Studio XIAO. If you want to stay up-to-date with:
Cool Projects from the Community to get inspiration and tutorials Product Updates: firmware update, new product spoiler Wiki Updates: new wikis + wiki contribution News: events, contests, and other community stuff
Al aprovechar los LLMs, Watcher puede capturar los eventos precisos que especificaste, lo
que significa ir más allá de las simples detecciones de objetivos, ya que analiza
completamente comportamientos y estados. Como “perro + jugando con la pelota, 0
personas + en la habitación”, o “La persona + con uniforme de DHL ha llegado”, etc.
¡Watcher realmente entiende la escena bajo su vigilancia!
Llamar constantemente a los LLMs como ChatGPT genera un costo elevado. Por
lo tanto, utilizamos una arquitectura de IA en el dispositivo + LLMs. El modelo de IA en el
Watcher detecta el objetivo, que luego es analizado por LLM para generar ideas precisas y
accionables.
Con la tarea “dime si el perro está rompiendo papel”, cuando el modelo del dispositivo
detecta perros, esta escena clave se envía al LLM para un análisis más profundo: ¿está
rompiendo papel? Los LLM no se activarán por personas, gatos, ardillas u otros. Esto
reduce enormemente el costo de los LLM.
Responde por voz
Después de detectar el evento especificado, Watcher puede interactuar con los objetivos a
través de la voz. Por ejemplo, puedes configurarlo de la siguiente manera:
Evento especificado: alguien toma el teclado rosa;
Dos reacciones especificadas:
1. una respuesta por voz que diga: ‘¡Buena elección! Esta es nuestra versión más
reciente, inspirada en la máquina de escribir Pink Royal’;
2. la otra reacción es un mensaje de texto a los vendedores: ‘¡Alguien está interesado
en el teclado más reciente! Por favor, vayan al estante lo antes posible’.
Colocar Watcher en diferentes escenarios permite respuestas versátiles. Al ver un perro
rompiendo pañuelos, dile “¡Para, Cooper!”, o si ve a una persona fumando en áreas donde
no está permitido, dile “¡No fumar!”
¿Cómo mejorar tus sistemas? Solo necesitas un complemento
sencillo.
Una vez detectado el evento objetivo, puede activar diferentes acciones, por ejemplo, enviar
mensajes push en la aplicación SenseCraft o hacer que las luces LED de Watcher
parpadeen. Por supuesto, entendemos que quieres ir más allá de las funcionalidades en la
app o el dispositivo. ¡No hay problema! ¡Hay infinitas posibilidades para explorar!
Añade Watcher a Home Assistant.
Conectado a plataformas IoT como Home Assistant, tu Watcheractúa como un
sensor de comportamiento, activando acciones personalizadas en diversos contextos. Por
ejemplo, cuando detecta personas, Watcher analiza la situación y automáticamente
desencadena acciones: luces encendidas para leer y luces apagadas para dormir.
Más que un sensor de visión, Watcher se puede ampliar con otros sensores
para habilitar la detección multimodal. En la parte trasera de Watcher, el I2C está
reservado para acomodar más de 100 sensores Grove. Esta flexibilidad permite queWatcher integre una amplia gama de fuentes de datos para un análisis exhaustivo y
acciones apropiadas. Podrás construir aplicaciones como detectar la temperatura de la
habitación y ajustar el aire acondicionado en consecuencia: cambiarlo a 22°C cuando llevas
traje, o a 26°C cuando estás en shorts.
Añade Watcher a tu flujo de Node-RED
A solo 3 bloques de distancia, puedes transmitir los resultados detectados por tu Watcher a
cualquier lugar en internet a través de Node-RED, ¡tan fácil como hacer clic!
Añade Watcher a tu Arduino | ESP32 y otros sistemas de
hardware.
¿Quieres añadir un agente de IA a los MCU y SBC populares como
Arduino/ESP32/Raspberry Pi? Simplemente conéctalo a Watcher a través de UART, HTTP o
USB, y podrás explorar la nueva frontera de la inteligencia.
Dato curioso: Aquí en Seeed, Watcher tiene el apodo de “Nobody,” simbolizando
un robot sin cuerpo. Esto transmite un mensaje poderoso: ¡Dale a Watcher un cuerpo!
¡Watcher puede ser una cabeza genial para tu robot!
Para los fans de XIAO, ¡tenemos un paquete especial! Apoya a SenseCAP
Watcher y podrás añadir un XIAO ESP32C6 por solo $1.
XIAO ESP32C6 es un MCU compacto, nativo de Matter, para hogares inteligentes. Basado
en ESP32-C6 de Espressif, soporta diversas conectividades inalámbricas: Wi-Fi 6 a 2.4
GHz, BLE 5.0, Zigbee y Thread.
Por ejemplo, puedes hacer un sensor de emociones añadiendo Watcher a XIAO.
Al detectar tu mal humor, florece para animarte.
Dale emociones únicas a tu Watcher
SenseCAP Watcher se adapta a tus comandos con “modos” únicos. Primero ESCUCHA tus
instrucciones, luego cambia al modo de VIGILANCIA para proteger el espacio designado,
etc. ¡Pero la diversión no termina aquí! Puedes subir tus propios diseños de emociones
para darle a tu Watcher una personalidad única. ¡Prepara un archivo PNG y súbelo a
Watcher en segundos! ¡Es tu decisión!
Los emojis predeterminados de Watcher están inspirados en C-3PO, en homenaje a uno de
nuestros mayores ayudantes.
Puedes subir los tuyos fácilmente en formato .PNG
Incluso puedes diseñar una interfaz de usuario (UI) única para tu SenseCAP
Watcher. Nuestra interfaz actual está impulsada por Squareline.
Open Source y despliegue On-Premise.
Como un dispositivo de IA, es fundamental respetar la privacidad. Y adoptamos e
implementamos dos estrategias clave en este ingenioso dispositivo.
1. SenseCAP Watcher es de código abierto, lo que te brinda acceso completo para
entender a fondo cómo funciona.
2. Soporta despliegue on-premise. La columna vertebral de SenseCAP Watcher es la
suite de software SenseCraft, que se utiliza para configurar Watcher, interpretar tus
comandos y acceder a los LLMs. Por lo tanto, todo está almacenado y ejecutándose
de manera privada, garantizando que tus modelos y datos no se envíen a ningún
LLM o nube pública. SenseCraft puede ejecutarse en Windows/MacOS/Linux. Dado
que SenseCraft contiene LLMs, ciertos criterios de rendimiento son necesarios para
la computadora, como se detalla a continuación.
Puedes desplegar SenseCraft en tus computadoras de repuesto. Sin embargo, si
buscas aplicaciones que requieran confiabilidad a nivel comercial y bajo consumo de
energía, la combinación de SenseCAP Watcher + NVIDIA® Jetson AGX Orin es perfecta
para ti.
En comparación con las tarjetas gráficas de consumo (como la RTX 4090) para
tareas de IA, NVIDIA® Jetson AGX Orin destaca con ventajas clave:
1. Confiabilidad a nivel industrial: Diseñada para aplicaciones industriales y
comerciales, la serie Jetson AGX cuenta con un MTBF (tiempo medio entre fallas)
más largo. Diseñada para operar las 24 horas del día, ofrece una confiabilidad
superior para aplicaciones de funcionamiento continuo, en comparación con las
tarjetas gráficas de consumo.
2. Compacta y de bajo consumo: Con aplicaciones de computación embebida y en el
borde en mente, la serie Jetson AGX está diseñada en un formato más pequeño y
consume más de 3 veces menos energía que las tarjetas gráficas de consumo. Es
adecuada para espacios reducidos, genera menos calor y ayuda a reducir los costos
operativos. Esto es crucial para los sistemas embebidos.
¿Suscripción? ¡Tú decides!
Los Servicios de IA de SenseCraft están diseñados para tus necesidades.
Empieza con Basic, completamente GRATIS para baja frecuencia: 15 minutos/solicitud para
análisis de imágenes, 200 chats/mes con LLMs.
¿Necesitas más? Solo $6.90 para la versión Pro, paga solo por lo que consumes, ¡SIN
compromiso de tarifas recurrentes! Además, ¡cada dispositivo NUEVO incluye un
paquete Pro GRATIS de $6.90! Recarga según sea necesario.
¿Quieres evitar tarifas por completo? Elige On-Premise. Simplemente despliega y usa sin
costos adicionales.
Dos modelos
Soporte para varios métodos de montaje.
Se puede colocar sobre un escritorio o montarlo en paredes como una expansión
inteligente. O también se puede transformar en la cabeza de un robot.
Otros lo usaron como
Personalización – El camino más rápido para construir hardware
con IA.
El próximo dispositivo debería estar impulsado por IA. ¡El hardware con IA incorporada
conectada a LLMs es la tendencia!
Con SenseCAP Watcher, hemos desarrollado un marco revolucionario que lleva potentes
LLMs al borde del mundo físico. Este marco acelera el prototipado de hardware con IA. Con
nuestros servicios de personalización, ¡puedes dar vida a tu hardware de IA más rápido que
nunca!
¡Es hora de aumentar la inteligencia de tu espacio! Estamos en
Hemos realizado pruebas exhaustivas con SenseCAP Watcher, y estamos completamente
comprometidos a entregarlo a tiempo a nuestros patrocinadores, con todo funcionando sinproblemas. No obstante, como sucede con cualquier nuevo producto, existen riesgos
potenciales asociados al lanzamiento.
Sin embargo, como una empresa consolidada con un historial probado de éxito en el
desarrollo de cientos de productos, sabemos cómo superar estos desafíos. Ten la seguridad
de que, si surgen problemas de producción, seremos completamente transparentes con
nuestros patrocinadores y los mantendremos informados durante todo el proceso.
Uso de la IA
Tengo pensado usar contenido generado por IA en mi proyecto.
¿Qué partes de tu proyecto utilizarán contenido generado por IA? Responde con la
mayor precisión posible.
Usaremos contenido generado por IA de MidJourney para crear imágenes que destaquen
las características de nuestro producto y muestran cómo puede ser usado en escenarios
reales. Además, utilizaré ChatGPT para la corrección de estilo de nuestra campaña.
¿Tienes el consentimiento de los propietarios de los trabajos que se usaron (o se
usarán) para producir la parte de tu proyecto generada por IA? Por favor, explica.
Para las imágenes que necesitamos, primero buscaremos en bibliotecas existentes en
Google. Si encontramos imágenes que puedan ser usadas directamente, verificaremos sus
licencias para determinar los pasos apropiados a seguir. Si las imágenes no pueden ser
Hey community! We’re excited to invite you to join us at the AIoT Xperience Day in Düsseldorf, an event co-organized by Techbros, Uplink, Heliotics, Infinetics and Seeed Studio.
This is an event you should not miss. Either join the hands-on workshops, play with live demos, show your projects or talk with like-minded enthusiasts, innovators, and professionals in the fields of AI and IoT, it is ensured to be a half-day full of excitement!
Hands-on Workshops
During the event, you’ll get the opportunity to explore two exciting workshops:
1. Meshtastic Workshop
Learn how to set up and utilize Meshtastic, a decentralized LoRa mesh network, with the SenseCAP T1000-E Tracker. Whether you’re a beginner or an experienced developer, this session will demonstrate how you can build a free, off-grid communication network to transmit messages without relying on traditional infrastructure.
2. No-Code AI with XIAO ESP32S3 Sense
Can AI be added to almost anything? Yes, and without any coding! In this hands-on workshop, you’ll discover how to easily build your own AI Vision sensor using XIAO ESP32S3 Sense and SenseCraft AI, our no-code platform for training and deploying AI models. With just a few steps, you’ll have your own custom AI Vision sensor up and running. For this workshop participants need to bring their own laptop.
Why Attend?
This event is more than just workshops. You’ll also get to play with live demos of cutting-edge AIoT technology and connect with others who are passionate about the future of AI and IoT. Don’t miss the “show and tell” session, where participants will have the chance to share their own innovative projects. And you are invited to bring your projects to the spotlight as well!
Whether you’re interested in creating decentralized communication networks, or you want to see how AI can be seamlessly integrated into your projects without a single line of code, this is the event for you.
We are thrilled to announce that Seeed Studio will be a Silver Sponsor at The Things Conference 2024 in Amsterdam! As a proud participant in this flagship event for LoRaWAN® and Low Power IoT, we invite you to visit us at Booth B03 and explore our cutting-edge technologies that are revolutionizing the IoT space. From September 25-26, join us and over 1,500 industry professionals for a deep dive into the latest innovations in LoRaWAN®.
At our booth, we will be showcasing several new and existing products, providing hands-on demos, and discussing how these solutions are making IoT applications smarter, scalable, and more efficient by unleashing the power of AI. You’ll get to experience our latest innovations, including:
New Products
SenseCAP A1102 LoRaWAN Vision AI Sensor: A state-of-the-art AI-powered sensor.
Wio-SX1262: The world’s smallest LoRa module.
SenseCAP Watcher: The ultimate solution for intelligent monitoring.
Additionally, we are collaborating with Blynk to deliver a Joint Live Demo showcasing the seamless onboarding of the SenseCAP S2120 8-in-1 LoRaWAN Weather Station. Experience real-time climate data visualization on the Blynk platform, offering end-to-end IoT solutions for your projects.
Explore Innovation with Seeed’s Keynotes and Hands-on Workshops
In addition to our exhibits, we’re excited to participate in key discussions and workshops that highlight the synergy between LoRaWAN® and AI. Here are some key sessions you won’t want to miss:
Keynote Speech: Revolutionizing IoT: The Synergy of LoRaWAN and Artificial Intelligence
Speaker:Joey Jiang, VP of Seeed Studio Time: 4:40 PM, September 25 (Wednesday) Venue: The Things Theater
In today’s rapidly evolving digital landscape, the need for efficient data processing from the physical world is growing exponentially. Joey Jiang, VP of Seeed Studio, will present a thought-provoking keynote on how the synergy between LoRaWAN and Artificial Intelligence (AI) is revolutionizing IoT solutions.
LoRaWAN’s long-range, low-power capabilities make it ideal for IoT, but handling vast data streams can be challenging. AI enhances LoRaWAN by optimizing data at the sensor level, compressing large datasets into actionable insights for transmission, reducing latency, bandwidth usage, and costs. In this session, Joey Jiang will showcase Seeed Studio’s AI-enabled LoRaWAN sensor nodes, built for scalability and adaptability across industries. He will explore how this technology drives efficiency and digital transformation in IoT ecosystems. Expect to learn how AI improves data processing, real-world use cases, and innovations that boost cost-effectiveness.
Workshop: No-Code to Build Your First AI-Enabled LoRaWAN Vision Sensor
Host:Joey Jiang, VP of Seeed Studio Time: 11:00 AM, September 26 (Thursday) Venue: Workshop 1
Want to build your own AI-enabled LoRaWAN sensor node without coding? This hands-on workshop, led by Joey Jiang, is for you! You’ll learn to assemble a plug-and-play LoRaWAN sensor node using Seeed Studio’s kit, train and deploy an AI model with SenseCraft AI, and transmit detection outcomes via LoRaWAN to The Things Network—all without writing a single line of code. Ideal for both beginners and professionals, this workshop offers a practical introduction to AI and LoRaWAN integration. With only 25 seats available, don’t miss the chance for personalized guidance. Bring your laptop for this interactive session!
Roundtable Discussions
1. LoRaWAN in the Harsh Environment of Agriculture
Datacake: Don’t miss Simon Kemper’s session on reducing real Total Cost of Ownership (TCO) with SaaS.
Semtech: Participate in their exciting line-up of speeches!
Join Us at The Things Conference 2024
The Things Conference is the premier event for LoRaWAN®, bringing together over 1,500 top IoT professionals, 70+ industry leaders, and expert speakers. Connect with the entire LoRaWAN® ecosystem, explore the latest IoT technologies, and gain practical insights through hands-on workshops.
Get your tickets (use our partner code to enjoy a 20% off discount: JOIN-TTC2024), and join us for an unforgettable two days of innovation, networking, and hands-on learning.
We have some exciting news to share. As we’re attending the upcoming The Things Conference 2024 in Amsterdam, we also got the pleasure of hosting a hands-on workshop thanks to the unwaving support of our local community partner Sensemakers on September 24, 2024 (Tuesday). Welcome to join us if you are in or visiting Amsterdam next week!
Time: 7:00 PM to 9:00 PM on September 24, 2024 (Tuesday) GMT+2
Our VP Joey Jiang together with the amazing team Sensemakers will be hosting the workshop. During this 2-hour workhsop, you’ll explore the Meshtastic open-source, off-grid, decentralized LoRa mesh network using theSenseCAP T1000-E Tracker. Yes, we know the SenseCAP T1000-E Tracker for Meshtastic has been sold out and many people have been waiting. We are working on delivering more and faster! At the same time, we really want to offer the community to experience how easy and cool to set up your own Meshtastic network.
Moreover, you can expect to discover AI at your fingertips with the thumb-sizedXIAO ESP32S3 Sense and the no-code SenseCraft AI Platform. You’ll be guided to train, deploy vision AI models without writing any code.
Everyone is welcome, and no experience or engineering background is required. Please do bring your laptop if you’d like to participate in the second session of XIAO with SenseCraft AI. Learn more details and reserve your spot here.
SensemakersAMS is a volunteer based community dedicated to connecting people and sharing knowledge, ideas & hands-on experience related to new technology, mostly IoT and AI. They host community events, welcoming everyone to join, technical, non-technical or just interested. Learn more here:https://www.meetup.com/sensemakersams/
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