While the ever-changing environment is leading toward a digital world, the vast digitalization process hasn’t skipped on the aviation industry, which enjoys many benefits along with many challenges. One of the major challenges lies in operational efficiency, the process of managing quick, smart, and accurate up-to-date data is crucial to reduce operation time, costs and uncertainty. To keep airports and airlines profitable and effective, maintenance departments and ground handling operations are under more pressure than ever to speed up aircraft turnaround times that aggravated during the Covid-19 pandemic with worldwide disruptions causing flights to be cancelled or delayed.
Cockpit Innovation, which partners with and invests in start-ups improving the world of aviation, has recognized IntellAct’s solution, for real-time automatic detection of ground service equipment and turnaround services, as an innovative solution that best addresses this problem. Using artificial intelligence to analyse the millions of CCTV cameras monitoring airports, IntellAct recognizes operational bottlenecks, increasing efficiency and improving safety.
Cockpit Innovation has invested in IntellAct, demonstrating its belief in the company and the effectiveness of its software, and started a pilot project with El Al Airlines at Ben-Gurion Airport in Israel to refine IntellAct’s solution for the aviation industry’s needs.
According to Oz Eliav, Cockpit Innovations’ general manager: “IntellAct technology uses image recognition and data science which can identify and analyse the processes just by watching a video, it is machine learning with no human intervention. The computer learns how each player looks and can identify it”.
Oz Eliav will attend the World Aviation Festival in London as a speaker on December 1 at 15:10 hrs. and will discuss how airlines can use data science to create a more complete single view of operations and support real-time and agile decision-making. The case of IntellAct is a great model for an airline embedding start-up solutions in data science to improve the costs and efficiency of its operations and create an agile decision in real-time based on data.