Seeed Studio Launches AI And IoT Solutions 

Seeed-Studio-Launches-Full-AI-and-IoT-Solutions-to-Digitalize-the-Wild

Seeed Studio, the IoT Hardware company, launched AIoT solutions for outdoor applications, covering devices from low-power sensors to ultra-long-range gateways featuring Edge AI. The products will be available in Q2, and Seeed also initiates co-creation and Tech4Good collaborations with the ecosystem.

“We were born in a global maker community and help developers grow inspiring possibilities into impactful productivities,” said Eric Pan, Seeed’s Founder.”Many critical topics like sustainable development, carbon neutrality, and wildlife protection converge on the scenes in the wild. But they are the frontiers lacking technological efforts and scalable solutions. We’re excited to showcase our latest efforts and invite diverse backgrounds people to join us to tackle the challenges together.”

According to World Bank’s data, only 3.5 per cent of the planetary land surface is equipped with telecommunication coverage. The promising low-power and wide-area LoRaWAN network facilitates interoperability of connected devices and accelerates the IoT revolutions. Seeed released a SenseCAP LoRaWAN Gateway, a Hotspot APP and rich accessories for outdoor applications. They are dedicated to helping system integrators expand the LoRaWAN network and providing next-level worldwide connectivity infrastructure for IoT systems.

Sensors as a Service

Seeed aims to provide an evolving set of easy-to-deploy outdoor LoRaWAN sensors to ensure everyone can obtain data in 3 steps with the flexibility to integrate into existing IT systems. During the Launch, Seeed introduced a series of distributed outdoor SenseCAP sensors. With 10+ years of battery life, IP66 enclosure and up to 10km transmission range, people can deploy them with less constraints. On top of the basic sensors and data-logger, a rich plug-and-play sensor system is introduced for people to create their derivatives.

Powered by ultra-low-power machine learning, SenseCAP sensors perform always-on inferencing with vision and sound. This unleashes possibilities to recognise critical information in real-time. The standard machine learning model can be updated and trained in real-life scenes.

By working with climate change experts, Seeed introduced a 10-in-1 Compact CO2 Station with 5ppm accuracy as an alternative to current 50 times more expensive solutions. It’s compact and easy-to-deploy in the grid with flexibility, targeting to meet the growing needs of meteorological monitoring for carbon neutrality.

EdgeAI for the Real World

To enable more AI-based solutions in the wild, Seeed released two Edge Computing series devices to make data collection and inference happen in real-time. They integrate the SOMs of Nvidia Jetson Nano, Xavier NX, AGX ORIN, and everything else needed for an interdependent AI system. reComputer Jetson features integrated hardware and software, providing a click-to-deploy web interface for system integrators. With all the configurable APIs, it can easily integrate off-the-shelf AI capability with existing applications. Meanwhile, reServer Jetson is more powerful for inference serving. It has a built-in Triton server and vapour chamber thermal management to integrate all the power into a compact portable box.

Co-Inventing the Digital Solution

During the Launch, Seeed also called for collaborations to create full solutions that address Sustainable Development Goals challenges. The Tech4Good Bounty Program offers hardware sponsorship to support technological applications to tackle sustainable development challenges. To make it more accessible, Seeed released a LoRaWAN Dev Kit to help beginner users build LoRaWAN/AI-based solutions with plug-and-play modules and Machine Learning-ready controllers. In the future, Seeed will dedicate more hardware support to experts with know-how and software skills and help them grow prototypes to products.