Over the past several years, advanced technologies have emerged that increasingly enable UAS to safely and reliably avoid collisions. On-board DAA systems, especially when combined with ground-based surveillance systems and integration software, have proven effective.

Use predictive analytics to anticipate potential threats and identify patterns in data that may indicate a potential problem. For example, analyze weather patterns and predict the likelihood of a storm, allowing organizations to take appropriate precautions in advance. With advances in Artificial Intelligence, drone software is becoming more competent in providing real-time information to operators, allowing them to prioritize asset deployment and team distribution. Execute tasks with little or no human intervention or help to automate decision-making processes based on predefined rules and algorithms.

For example, automatically trigger an alert if a particular sensor detects an anomaly, adjust a device’s settings based on changing environmental conditions, and activate specific protocols as required.

The commercial drone industry still refers to beyond visual line of sight (BVLOS) operations as the “holy grail.” Recent activities, however, may indicate that drinking from the BVLOS cup may not be as elusive as some may think…