The airspace security industry is growing rapidly, and laws involving the safe integration of drones to national airspace are slow to catch up. As more drone incidents and airspace intrusions are occurring, organizations protecting high risk and high-value infrastructure must be proactive and protect their airspace from drone threats.
It is important now, more than ever, to understand and assess lower airspace activity and gain situational awareness on drones entering critical airspace.
I am very positive with the future of drones and its usage in wider sector.But its a fact that with increase in the use of drones there would come many challenges; like putting a check on the unwanted and malicious drones. And here we would need powerful anti drone technology. Another major challenge is operation of drones in the air space. We would also need an air traffic management system specially designed for drones. Do you agree?
It is important now, more than ever, to understand and assess lower airspace activity and gain situational awareness on drones entering critical airspace.
In this buyer’s guide, you will learn:
• How to assess your needs for airspace security technology
• Who should be involved with drone detection technology purchasing
• What to expect from the process
Airspace Security Hardware:
Hardware collects data and information about the drone and is installed outside in areas that need to be protected against drone threats.
- Radio frequency sensors: RF sensors are the cornerstone of airspace security, and detect commercial, consumer, and DIY or prototype drones, the flight path as well as the location of the pilot and the drone. RF sensors are capable of identifying drone type/model is used, which is critical forensic data used to bring legal action against trespassers.
- Cameras: Cameras have eyes on the movement of the drone, help identify the payload, and record forensic evidence of drone intrusions.
- Radar: When permitted to use, radar provides long-range detection including the position of the drone.
- Acoustic sensors: Drones “buzz” in a unique way, and acoustic sensors can pick up on unique sound signatures.
Airspace Security Software:
Software connects sensors, performs machine-learning analysis, and is the central nervous system for the complete solution.
- User interface: A user interface should be enterprise-grade, provide multi-user access, and give instant notifications of an approaching drone. Additionally, summary reports should be automatically produced and available on-demand for easy analysis of the most critical airspace security data.
- Video analytics: Using IP video cameras, video analytics differentiates between moving objects, such as a plane, car, helicopter or drone.
- Machine learning platform: A drone detection software should constantly be learning and upgrading, much like antivirus software and malware protection tools.
