Using the app (“TreadManager”), the scanner calculates tyre tread depths using 3D colour-coded imagery showing tyre conditions, tread warnings and any safety alerts including under-inflations, wheel alignment issues or damages.

Using 36 rim-mounted sensors, which can be integrated into “all commonly available wheel sizes”, the sensors send alerts through the idem app allowing for predictive maintenance and therefore increasing safety, extending tyre lifetime, reducing vehicle/trailer downtime and saving fuel.

Einride has signed a Memorandum of Understanding (MoU) with the Norwegian postal service, PostNord, to electrify 1,500km of Norwegian highway to bring zero-emission transport to the market.

DB is a 30 year old technology company company with offices in Porto Alegre (RS) and São Paulo (SP).

Project G is an AI-powered fleet management software that uses a chatbot assistant which enables customers to ask questions through a chat interface about their vehicle fleet on areas including vehicle performance, vehicle usage, fuel economy, cost savings and more.

Based in the cloud, the application, which is available to download on any smart device, gives real-time data sets to drivers, owners and operators monitoring tyre health and allowing all work carried out by Giti Service Partners to be logged and visible to the fleets 24/7.

Nexyad’s main product, ‘SafetyNex’, monitors the driver in real-time and provides guidance and prompts which are intended to encourage “prudent” driving.

Hankook has contracted web service providers Amazon Web Services and Snowflake to build an integrated AI data platform to make more informed decisions based on more reliable data sets aiding product development and increasing manufacturing efficiency, thus enhancing global competitiveness.

With exterior modifications to the cab in combination with a smart energy management system, Quantron claims the aerodynamic variant can improve the range of the QHM FCEV (700 km or 1,500 km, depending on the fuel storage volume) by up to 10%.

Volvo hopes that advances in this new area of digital innovation will make financial and insurance products “more dynamic and easier to access”.

A two-year industry/educational institution collaboration project, called SAPOHVAC, utilising AI systems such as deep learning and machine learning has been developed to run a range of diagnostic tests on Hispacold’s HVAC systems in various scenarios that can predict when maintenance is needed.

The upgraded version goes beyond monitoring tyre distance, condition, pressure and tread depth, as it now also features tyre history, allowing fleet operators to schedule maintenance better and manage tyre replacement more cost effectively.