Uncategorized

Today’s announcement is the third round of Alliance for System Safety of UAS through Research Excellence (ASSURE) grants

German UAM developer showed the progress it is making to introduce eVTOL aircraft to the Paris region

Company has deployed its drones and drone pilots to count wildlife

Microsoft Azure customers worldwide now gain access to Ardenna Rail-Inspector to take advantage of the scalability, reliability, and agility of Azure to drive application development and shape business strategies

The anti-drone solution uses non-jamming, non-kinetic technologies

Engineers aren't known for taking risks lightly – what we do doesn't allow for error, and taking a risk brings in too much scope for error. If engineers are slightly cautious, engineer-surveyors are even more so. But being in a traditional, perhaps even cautious sector, doesn't mean that we aren't always looking for new ways to solve old problems. And increasingly, those new ways are tech-based. One of the most exciting applications of new technology I have encountered is drones. Clear regulations Safety always has, and always will be, paramount for engineering – not just at the design and build

Iris Automation, Aircraft Owners and Pilots Association (AOPA), and the Helicopter Association International (HAI) applaud the U.S. Congress for its continued support for the safe integration of Unmanned Aircraft Systems (UAS) into the National Airspace. With the passage of the end of year government FY’21 funding legislation, H.R. 133, Consolidated Appropriations Act, 2021, the House and Senate bi-partisan Appropriations Committees included language intended to underscore the importance of onboard Detect and Avoid technology (DAA) as a critical safety tool for full UAS integration. By doing so, under its legislative oversight authority, Congress has sent a clear signal that progress towards

Predictive maintenance is a proactive maintenance strategy that evaluates and predicts when a component might fail so that maintenance work can be scheduled at a time that minimises adverse impact. It differs from reactive or preventative maintenance in that the predictions are based on the exact condition of the equipment rather than average or expected life statistics. In addition, the maintenance teams no longer have to wait for the flight to land to capture data – predictive maintenance happens in real time, enabling workers to analyse data insights and algorithms while the aircraft is still airborne. This precision is proving

The SGC 352 starter generator control unit can be used for engines with fuel injection as well as for engines with carburettors.

The new offering from the duo will target government and infrastructure drone users meet local regulations in Europe and the US