Today we are launching Golioth Location in private access. This service offers network positioning functionality, allowing devices to leverage the same radios (e.g. cellular and Wi-Fi) used for communicating with Golioth to obtain location information. Doing so may extend battery life, reduce hardware costs, and enable more rapid acquisition of a device’s position.
The Golioth OTA service can handle more than just Over-the-Air firmware upgrade. This example application demonstrates multiple-artifact releases, where a picture to be shown on the screen of an IoT device is updated using OTA.
Uploading audio from IoT devices to the Cloud is easy with Golioth. Here's everything you need to know to deliver large chunks of data from your fleet to whatever cloud service you desire, all with just one API call and one callback function.
This post walks through how to upload images from IoT devices to Golioth over CoAP using block upload. Once the image is at the server, Golioth Pipelines can route the data to the destination of your choice!
The Hugging Face Inference API makes it easy to integrate any public or private AI model with Golioth Pipelines for use-cases such as text, video, and audio analysis.
Golioth enables AI applications by pushing TF Lite model updates directly to devices. These can be stored locally and begin running without a device restart. This example showcases the Golioth SDK running on ESP-IDF.
OpenAI's Structured Outputs allow callers to provide a JSON schema to define the structure in which responses should be formatted. When combined with Golioth Pipelines, this enables converting device data from an unknown to a known structure.
