Paris, France, September 6, 2021: Sigfox, the 0G network pioneer and the world’s leading IoT (Internet of Things) communication service provider, has decided to partner with Coral, Google’s platform of hardware components, software tools, and models for building devices with Artificial Intelligence at the Edge.
As further sectors integrate IoT devices into their activities, more data than ever is being collected and industry leaders are struggling to find fast and cost-efficient ways to transport and harness it. To solve this challenge, Coral provides the technology to run a machine learning model locally, at the edge, without needing to send large amounts of data to the cloud.
The addition of Sigfox to the Coral Partnership Program will create room for innovation with the possibility to integrate the Coral Edge TPU in an IoT device, making it possible to run inferences locally and capture completely new information from the field. This reduces costs and minimizes energy usage, said Sigfox in a press release.
Once the raw data is processed and its value has been harvested at the device edge, the Sigfox 0G network will transport it rapidly and at very low cost to the customer’s platform.
The innovations from this new partnership will be applicable to a number of industrial use cases such as smart buildings, traffic monitoring and anomaly detection. For example, Coral enabled sensors can help understand population flow in parks, streets, workplaces, or retail centers while preserving people’s privacy using local AI, a fast, reliable process which keeps user data out of reach. Feeding that data into a larger model can help distribute shared resources efficiently and improve incident response.
The combination of local AI and IoT can also come in handy on a production line, where users can extract data from long HD video streams and detect product defects. The cost to do this is typically very high but using Coral’s solution coupled with Sigfox devices and 0G network, costs and latency will be reduced, while data privacy is improved by enabling data refinement upstream.