IoT specialist Taoglas has demonstrated real-time warehouse management based on its recently launched EDGE Vision platform for machine vision AI technologies.

Taoglas demonstrated the new technology at the recent Mobile World Congress event in LA. The solution provides real-time monitoring, reporting and alerts, allowing warehouse management to monitor the number of packages or pallets in loading docks and goods inward and outward areas to prevent over loading or physical bottlenecks. The warehouse staging area capacity solution can be created to alert via Wi-Fi, Bluetooth or cellular when available capacity exceeds criteria. This can be set at required levels allowing immediate response to circumvent a potential problem escalating.

Taoglas’ EDGE Vision is designed to maximise operational efficiency by giving businesses real-time, transformational decision-making capabilities, across a variety of different industries from automotive, waste management, e-mobility, industrial to transportation and logistics.

“Machine vision is about to take the market by storm and is projected to reach a value of $2.4 billion by 2025. Taoglas already implement and optimise machine vision AI solutions for the world’s largest organisations, including top tier OEM’s and we’re seeing an increasing demand for this technology in quality inspection and the automation of human intensive processes,” said Ronan Quinlan, Co-CEO and Co-Founder of Taoglas. “Taoglas’ EDGE Vision AI capabilities include firmware, hardware, software and analytics, which combine neural inference, spatial AI, and feature tracking and our team of IoT Engineering experts are here to make your vision a reality, by reducing the risks and time associated with properly integrating three-dimensional vision directly into your device.”

“Taoglas is excited to now offer its customers our cutting-EDGE Vision technology, bringing affordable complex machine vision solutions into mass market applications such as transportation, industrial, e-mobility, waste management and beyond,” said Fergal Brennan, Head of Engineering, Taoglas. “The Taoglas Machine Vision AI approach utilises a combination of images and on-board sensor information such as precise-positioning, shock, vibration, temperature, air-pressure, CO2 levels, ambient light, speed and altitude. Our world-class team utilises its experience and expertise to develop a machine vision solution for you that gets to market on time, the first time.”