Concept: Chinese IT services company Seeed Studio (Seeed) has developed industrial-grade AI and IoT devices for the most demanding settings in the wild and works with the community to provide ready-to-use digital solutions. It concentrated on AIoT (Artificial intelligence of things) solutions for outdoor applications, including low-power sensors and ultra-long-range gateways with Edge AI.

Nature of Disruption: To assist system integrators in expanding the LoRaWAN (low-power, wide area networking protocol) network and delivering a next-level connectivity infrastructure for all IoT systems, Seeed offers the SenseCAP M2 Data Only LoRaWAN Gateway and a Hotspot app. The SenseCAP sensors can perform always-on inferencing using vision and sound, thanks to ultra-low-power ML at the devices. This opens new possibilities enabling continuous real-time recognition of critical data. The standard ML model is up to date and can be trained in real-world scenarios. Seeed aims to expand a growing collection of outdoor LoRaWAN sensors that anyone can set up and use in three steps, with the ability to link them to existing IT systems. As an alternative to the current expensive methods, it provides a 10-in-1 Compact CO2 Station with 5ppm accuracy. System integrators can utilize the reComputer Jetson since it has integrated hardware and software and a click-to-deploy web interface. It would be simple to interface with existing applications that have off-the-shelf AI capability thanks to the customizable APIs.

Outlook: Coverage is essential for guiding IoT projects to success. Seeed provides a low-power, wide-area LoRaWAN network that simplifies linked device interoperability and speeds up IoT revolutions. People can easily construct their own derivatives with the help of a plug-and-play deployment experience and a comprehensive sensor system provided by the company. The product aims to fulfill the rapidly expanding demand for monitoring the meteorological environment to achieve carbon neutrality. Seeed intends to provide more hardware support to professionals with extensive know-how and software talents in the future and to assist them in turning prototypes into products.

This article was originally published in