Blog - Gravio

Digital Transformation in Hospitality: How Gravio Helped Increasing Customer Service Levels

Digital Transformation with Gravio

January 31, 2023

Taiyo Foods Corporation: Using Gravio and the Lenovo ThinkCentre Nano to Improve Efficiency

Trial Use of an IoT Temperature and Humidity Control Solution to Maximize Production Efficiency in Nori Processing

January 30, 2023

7 Ways in Which an Edge IoT Platform Such as Gravio Creates Value for System Integrators

Here's a list of 7 Ways in which an Edge IoT Platform Such as Gravio Creates Value for System Integrators

January 17, 2023

Department of Engineering at Institute for Vocational Education (IVE) Sha Tin Campus in Hong Kong is exploring the Gravio Edge IoT AI Platform for Teaching IoT

December 21, 2022

Pentel Case Study: Using IoT to accelerate the Digital Transformation at Pentel Japan

How Pentel used Gravio to speed up their Digital Transformation

December 14, 2022

Challenging the IoT Landscape with Sensors That Require No Batteries

EnOcean is a protocol and also an alliance that focuses on developing battery-less sensors that can last forever once deployed on a site. Using energy harvesting techniques that are able to convert kinetic and environmental energy to signals and transmit signals wireless over the air to gateways, sensors in the EnOcean protocol are ultimately the lowest maintenance sensors anyone can have.

December 6, 2022

Shaping Human Behaviors in a Challenging Energy Climate using IoT sensors

IoT can help shaping human behaviors and therefore making a long lasting impact

November 29, 2022

Tutorial: How to use Sensors to Trigger Photos and Send them via E-Mail

We take a picture from a camera triggered by a sensor and send it to an e-mail address. This can be done with Gravio.

November 15, 2022

[Case Study] Gravio in Education: How pupils in Japan are learning IoT

How a high school in Japan is using Gravio to teach IoT and AI

October 27, 2022

Creating Interoperability Between an IoT Edge Computing Platform and a Real-Time Location & Sensor Solution (RTLSS)

In this short article, Gravio explores the integration with AetherIoT, a Real-time Location & Sensor Solutions (RTLSS) platform to enable real-time asset tracking with an accuracy of 3-5 metres.

October 21, 2022

From Recognition to Action at the Edge: FaceMe® Security + Gravio Whitepaper

Facial recognition only creates value when it drives the right action. This free customer solution whitepaper from CyberLink and Asteria shows how FaceMe® Security and Gravio combine recognition events, sensor context and on-premise automation, with two integration patterns, five measurable outcomes, the reference architecture and a three-step fit assessment.

September 25, 2026

AI Readiness Assessment: A Practical Guide for Businesses

AI readiness is the capacity to adopt, integrate and derive sustained value from AI. This guide distils six established frameworks from Gartner, Deloitte, McKinsey, Oxford Insights, the European Commission and the ITU into one practical six-dimension model, with a self-assessment scorecard and a roadmap for whatever score you land on.

September 22, 2026

Airport AI: How Existing Cameras Can Improve Airport Operations

Airports can unlock more value from camera infrastructure by combining traditional computer vision with VQA for more contextual and flexible use cases. Gravio connects these visual insights with operational systems, applies business logic, and triggers actions, creating a practical way to test, refine, and scale airport AI without rebuilding the entire technology stack.

August 24, 2026

Automate Temperature Monitoring with Gravio and Axis Communications Thermal Cameras

Monitor equipment temperatures in real time with Gravio and Axis Communications Thermal Cameras. Learn how this no-code edge solution helps manufacturers and facility operators detect overheating early, automate alerts, visualize temperature trends, and improve preventive maintenance while reducing downtime.

August 13, 2026

Why Most Physical AI Proofs of Concept Fail to Scale

The biggest challenge in Physical AI is not building intelligent models, but orchestrating devices, systems, and workflows across the enterprise to achieve production scale.

July 27, 2026

Should Physical AI Run at the Edge, in the Cloud, or Both?

Explore why Physical AI increasingly relies on edge-first architectures, and how low latency, reliability, and hybrid edge-cloud deployments enable intelligent systems to operate effectively in real-world environments.

June 30, 2026

What is VQA (Visual Question Answering)? The Next Evolution of AI Vision

Explore how enterprises are using Visual Question Answering (VQA), Computer Vision, and AI Vision technologies to build event-aware operational systems that combine visual intelligence, workflow orchestration, and real-world automation.

May 22, 2026

The Physical AI Stack Explained: From Sensors and AI Vision to Automated Action

This article breaks down the Physical AI stack into its core layers and explains how perception, edge compute, intelligence, and orchestration work together to enable real-time, scalable systems in the physical world.

April 30, 2026

Physical AI: What is Physical AI? Beyond Robotics to Enterprise Automation

Physical AI is not defined by robots, but by systems that sense, decide, and act on the physical world through orchestrated intelligence.

March 23, 2026

Axis Partner Solution Note: Orchestrating Edge AI and Physical Automation with Gravio

Official Axis Partner Solution Note detailing the architecture, integration approach, and use cases for edge AI and physical automation with Gravio.

February 27, 2026