Gravio now works with Sendquick

Step by step guide how to secure MQTT Mosquitto Broker

In this blog post we learn how to take a screenshot on a mac, send that screenshot to a local AI (in this case Llava/Ollama) and trigger an API

Tutorial on how to use Gravio, Ollama, LLaVA AI to build a local Visual Question and Answer (VQA) application. Anyone can build this solution without coding required and deploy it as a PoC or even in a production environment if the use case fits.

Webhooks are automated messages sent between apps in real-time when an event occurs, using HTTP POST requests. They deliver data instantly, reducing the need for regular API polling and bandwidth. Useful in factory automation, content management, and IoT, webhooks support efficient, real-time inter-app communication. Gravio's latest version supports both internet-based and local webhooks, enhancing data handling and responsiveness without constant polling.

Visual Question Answering (VQA) combines computer vision with natural language processing, offering a versatile AI tool for interpreting images. It has wide-ranging applications across industries but faces challenges such as high computational demands and potential biases which can be overcome by using the right tools and equipment. Gravio's integration with OpenAI demonstrates VQA's practical use, enabling organizations a chance to disrupt their respective industries. In this article, we will explore various use cases and how they may be applicable to you or a business.

Learn about retrofitting with IR Blasters

Introduction to Onvif

Are Energy Harvesting Sensors the future?

What is Node Computing?